DEPARTMENT OF JUSTICE
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DEPARTMENT OF JUSTICE
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FEDERAL TRADE COMMISSION
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MERGER WORKSHOP
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WEDNESDAY, FEBRUARY 18, 2004
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9:00 a.m.
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FTC Conference Center
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601 New Jersey Avenue, N.W.
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Washington, D.C.
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Reported by:
Rita M. Hemphill, C.V.R.
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C O N T E N T S
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PAGE
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WELCOME - J. Elizabeth Callison
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NON-PRICE COMPETITION/INNOVATION
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Moderator:
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Panel:
Mark W. Frankena, FTC
Ann Malester
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Richard T. Rapp
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Steven C. Sunshine
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UNILATERAL EFFECTS
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Moderator:
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Panel:
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Luke M. Froeb, FTC
Joseph Kattan
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Gregory K. Leonard
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Abbott "Tad" Lipsky, Jr.
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Gregory J. Werden
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Valerie Rabassa
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COORDINATED EFFECTS
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Moderator:
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Panel:
Michael H. Knight, FTC
Jonathan B. Baker
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Andrew R. Dick
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Paul Yde
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Deborah P. Majoras
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Steven C. Salop
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David T. Scheffman
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C O N T E N T S (CONT'D)
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PAGE
UNCOMMITTED ENTRY
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Moderator:
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Panel:
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Theodore A. Gebhard, FTC
Timothy Daniel
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A. Douglas Melamed
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Frederick "Rick" Warren-Boulton
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Mark D. Whitener
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P R O C E E D I N G S
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WELCOME
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MS. CALLISON:
This is the second day of the
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Joint DOJ/FTC Workshop on Merger Enforcement.
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contained a lot of interesting information and useful
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panels.
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well.
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Yesterday
I'm sure today we will follow that up quite
I want to let you know that presentation
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materials from our panelists' papers and slide shows that
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they have sent in will be available on our respective web
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sites.
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be there shortly.
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hearings of the workshop will be available on the web
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sites at some future date.
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I wouldn't look for them on Friday, but they will
Thank you.
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Likewise, the transcripts of the
NON-PRICE COMPETITION/INNOVATION
MR. FRANKENA:
This morning we will be focusing
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on the discussion of the effects of mergers on
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innovation.
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speak first, and then Ann Malester will go next, and then
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Dick Rapp, and after that, we will have an open
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discussion between the panelists and the audience, with
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audience participation and so forth.
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Our panel today is Steve Sunshine, who will
When I was asked to moderate this distinguished
attorney and economist panel on mergers and innovation,
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my first thought was to seek input from the investor
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community which didn't seem to be represented.
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So I asked my friend Tom, who after all has
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about 1,000 patents, whether he could address the
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relationship between competition and innovation this
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morning.
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that he had addressed this very matter back in 1889, when
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someone proposed that his firm, Edison General Electric
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and its competitor, Westinghouse Electric call a truce in
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their war to sell electric systems to cities and towns
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around the country.
Well, Tom couldn't join us, but he reminded me
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Tom explained that he refused to go along with
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the proposal because, and I now quote from a contemporary
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letter from Edison:
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usefulness as an inventor is gone.
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be worth a penny.
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incentive.
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"If we make the coalition, my
My service wouldn't
I can only invent under thought of
No competition means no innovation."
But my real difficulty with this statement,
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though I -- after I read it I noticed that it was written
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on April Fool's Day in 1889, so I don't know how much
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weight to put on it, but that's a statement from an
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important inventor.
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Okay.
With that, could I ask Steve to get us
started?
MR. SUNSHINE:
Thank you.
I'm happy to be here
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this morning.
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speaker.
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Professor Davis.
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therefore, could not be with us.
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extreme way to get out of doing this talk, but I did last
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night consider that.
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I was not supposed to be the lead-off
The lead-off speaker was the distinguished
He ate some bad fish yesterday and,
It seemed like a rather
I struggled for how to title this talk, and
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like everything else, the inspiration came to me because
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of something my 12-year-old son did.
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this song by Smashmouth called "All Star," which I'm sure
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you all have heard.
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it for you.
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Don't worry.
I was listening to
I'm not going to sing
There is a line in there that says, "I'm not
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the sharpest tool in the shed."
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between that and innovation analysis were just
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immediately obvious, as I'm they are to everyone sitting
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here in the room.
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To me, the parallels
The point that I will make generally today is
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that innovation analysis has its uses.
I wouldn't call
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it the sharpest tool in the shed.
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question, and hence the title, when should this tool come
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out of the shed?
That leads to the
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Just as an overview, I hope that these
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propositions here are pretty non-controversial, at least
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the first few ones are.
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Innovation is an important dimensional rivalry
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and intervention of progress.
I don't think there's a
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lot of dispute for this point.
I think the studies that
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have been done over time have said that innovation has
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been responsible for the vast majority of economic
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progress that has been made over the last century.
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Then when we try to actually apply it to merger
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analysis, can we actually predict the effect of a merger
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on innovation?
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think it's fair to say that the effects are uncertain.
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Of course, it's probably also fair to say that the
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effects of market structure on goods and on the
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relationship between market performance on goods is not
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as clear as we would like it to be as well.
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We will talk more about this later.
I
That leads me to this is, I think, where we get
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a little bit more into my view, and others clearly have
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different views, the legal and economic issues.
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are legal issues here, too.
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on the economics, but there are legal issues here, too,
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that legal and economic issues require a showing -- I
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called it "probable effect on output."
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"output" here, I don't mean innovation output.
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output in the goods market.
There
We have been focusing mainly
When I say
I mean
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The Genzyme example, we will get to it, we all
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have our views on it, but perhaps Genzyme is an example
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where the chairman and the rest of the Commission
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basically followed the first three bullet points, thought
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in theory there could be an effect on innovation, but
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found a set of facts where the merger could not have a
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demonstrative effect on output, and hence, no case. If
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that's what they did, count me in.
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we have to talk about.
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Of course, the facts,
Lastly, just in terms of what does this mean
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practically?
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that the practical application of innovation markets is
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infrequent.
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market cases.
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industries, pharmaceuticals being the obvious example,
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and that for reasons that I think some of my co-panelists
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will go into.
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My general point on this is going to be
We are not going to see a lot of innovation
They are more likely in certain
One of the many big problems with innovation
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markets is that they are really hard to define.
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you know an innovation market?
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standard more than just as spotters, you know, I'll know
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it when I see it.
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How do
We'd like to see a
We have to account for trying to identify all
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the conceivable sources of innovation.
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account for how do we know what the strengths and
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significance of the population of innovators are.
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We have to
Also, the type of innovation that's going on in
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the market may be relevant to our confidence in market
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boundaries.
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What do I mean?
Well, are there regulatory barriers that are
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going to make innovation much more structured?
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innovation tied to certain sets of production assets,
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where we know that people without production assets
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really are not effective innovators?
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Is
For that, I would refer to the Department of
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Justice's complaint in the General Motors/ZF
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Friederichshafen case.
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to an existing set of production assets, and no one could
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innovate new truck and bus transmissions unless they had
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those set of processes.
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That case of innovation was tied
Then another way or type of innovation is
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patents, but patents are really tricky.
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patents, patents may mean there are a necessary set of
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assets.
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up so that the mergers are complimentary.
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really careful.
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When you get to
It may also mean that markets have been divided
You have to be
I won't go through the article that Professor
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Gilbert and I wrote, but we identify certain sets of
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factors that you need to find in order to have some
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confidence that you have an innovation market.
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don't have that kind of confidence, then frankly you
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should go home at that point.
If you
If you can't define the
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market and you can't define a few players, there's no
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point in going on.
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work to do.
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If you can, of course, there's more
Defining the boundaries of the market is hard.
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This part is even harder.
How can you actually predict
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the competitive effects?
How can you assess the merger's
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effect on innovation and then translate that into an
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output effect?
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We start off with, I think, a very obvious
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question, structures as a means of predicting
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performance.
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Who is right, Schumpeter or Arrow?
Schumpeter basically says you need monopoly
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rents, and it's possible in some industries you may need
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monopoly rents to actually provide incentives for
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innovation. Arrow says, on the other hand, because of
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cannibalization concerns, expected return, that perhaps
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monopolists do not have the same incentive to innovate at
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the same rate as others.
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I don't think it's fair to say the economics
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literature thinks this is completely an unaddressed
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question.
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by Spence, by Stidless, that allows you to make some
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inferences.
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There has been a lot of work done by Scherer,
It's certainly not proven.
I think, also, if you go with just basic
intuition, how many around this room believe that time
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after time, monopolists really have a high incentive to
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innovate?
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I think it is fair to say that just as a matter
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of economics, we don't know for sure what the answer to
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that question is.
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have our own belief, but we don't know.
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We might have an intuition.
We may
That leads us right into the second issue,
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which is the problem of the necessity of case specific
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evidence.
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economics, that all of these cases have to be driven by
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the actual facts of what's in front of the Commission,
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what's in front of the DOJ, what's in front of the
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plaintiff.
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innovation competition going on between the two, and that
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each have high incentives to innovate.
I think, given the uncertainty in the
You have to believe there is important
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Again, the GM/ZF case, I guess I have a little
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familiarity with, was a case where the evidentiary record
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showed years and years of the two companies actively
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targeting each other's innovation activities, actively
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pursuing incremental process improvements, and then with
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the signing of their merger agreement, saying we're not
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going to do this so much any more, but then labeling it
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efficiency.
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That was a fact specific inquiry that led to
say, you know, I think we know enough.
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Maybe Schumpeter
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is right sometimes.
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we are now in the Arrow camp with these facts.
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Maybe Arrow is right sometimes, but
I touched on incremental versus revolutionary.
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This is an idea of how big the innovation is.
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ways, incremental innovations may be the ones that are a
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little bit easier to understand how to protect.
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be easier to define where the sources of that innovation
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are going to come from.
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there's much more profit at stake, so there's more
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incentive to pursue them, and sometimes they are harder
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to tell where they are going to come from, what the
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source of that innovation is going to be.
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In some
It may
These revolutionary innovations,
In the incentives, I don't think you could
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understand the incentives to innovate until you
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understand the nature of competition between the
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innovations.
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downstream level.
That's going to require looking back at the
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Are two pharmaceutical companies going to be
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manufacturing exactly the same chemical compound that,
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you know, once they get to the market, they are going to
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be in competition with one another, and there's no orphan
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drug status.
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will be in competition with one another.
You know, once they get to the market, they
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That may lead you to one set of conclusions.
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If on the other hand these products are so sufficiently
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different they are going to be attacking different
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markets and there will be a high expected return, maybe
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there will be an incentive for both products to be
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developed.
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going to open up so many new applications and increase
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demand that there will still be a strong incentive to
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invest.
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I don't know.
Maybe the second invention is
Confidence that the reduction in innovation
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will lead to an output effect.
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previous statements, too, but here, I think you have to
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take into account downstream competition.
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are downstream products that are competing against your
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upstream products, and those are going to continue to
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spur innovation.
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That goes to all the
What if there
I think that what all this is saying is that
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there are a lot of steps to go through in order to get to
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this level of confidence.
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the effect outweighed by innovation efficiencies?
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Lastly, I put down here, is
Let me just throw in a point just as a matter
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of personal opinion.
I know this is not necessarily
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accepted by everybody.
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whole idea of merger specific efficiencies.
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after the fact, sitting around and saying gosh, I think
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these guys probably could have done a contract research
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and development joint venture.
One of my pet peeves is this
People,
To me, that is a naive
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view.
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I think the analysis should be here's the deal,
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here's what life would be like absent the deal, and is
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the world a better place or not, but to try to social
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engineer efficiencies seems to me to be a misguided
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approach.
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What I've done by putting efficiencies as part
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of the competitive effects, I haven't shifted the burden
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of the efficiencies to the defendants.
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still part of showing -- to show an output effect.
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Eventually, this really belongs in the camp of the
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plaintiff, because you can't show the effects unless the
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efficiencies don't outweigh the other benefits.
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Enough about economics.
I think it is
What about the law?
I'm running behind.
There have been a lot of consent decrees.
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There has been a complaint that the Department of Justice
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filed that did not go to trial.
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other cases where innovation is sort of talked about but
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not a true innovation market.
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There have been some
Does Section 7 really allow us to have an
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innovation market?
The few cases that exist on this, I
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think, say that without actual sales and a line of
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commerce, that perhaps you don't have a market, which if
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that was true, that would doom Section 7 analysis.
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That's my view, and what Gilbert and I wrote in
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our articles is that it would be misplaced for Section 7
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to not recognize an innovation market theory.
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why I say that, we would start from, I think, a pretty
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easy proposition that says that merger analysis should be
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designed to identify those mergers that lead to reduction
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in welfare, to lower output.
The reason
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The analysis that I just went through, if you
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can go through that analysis and come to the conclusion
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that output is reduced, you have satisfied what is the
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basic condition.
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market, I think, is the innovation market essentially
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identifies the place of competitive interaction where the
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problem arises, and then the output market actually
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defines where the effect is felt, and it defines the line
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of commerce and the section of the country that the law
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is trying to protect.
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Then the question on an innovation
In that way, I would draw a loose analogy, and
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it's not a perfect analogy, to a vertical merger.
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actual output market, there's no direct effect.
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could look at input, you could look at innovation as an
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input or an upstream product in a vertical merger, but I
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would say if you look at the Medicorp vs. Humanas case
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and some of the other cases cited in the stuff that we
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wrote, there are some courts that have gone other ways,
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In the
You
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because they are thinking cookie cutter, define a market,
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measure the market shares, prima facie case, blah, blah,
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blah.
That's one way of doing it.
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The second point, can plaintiff prove a
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non-speculative effect in a reasonable amount of time? I
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think that proposition stands for itself.
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a defense that I would want if I was defending against an
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individual market case.
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importance of being able to actually have the documents,
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the market evidence, and everything else to show that
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this is a real problem.
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This would be
This just goes back to the
I know I'm running short and I want to leave
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time for some conversation.
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this.
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I won't spend much time on
Ron Davis, who was going to lead off, was going
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to say burdens, where's the beef?
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why all the fuss?
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plaintiff.
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Hughes say that upon the establishment of a prima facie
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case, that the burden of production shifts over to the
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defendant, but the burden of persuasion always remains
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with the plaintiff.
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I was going to say,
The burden of proof is always on the
We all know that.
We know that PNB and Baker
I think in the Genzyme case, while it was just
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an investigation, it wasn't a case, I have to imagine
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that the defendants satisfied a burden of coming forward
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with evidence.
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It seems to me that any proper application of
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this kind of analysis would lead to the burden going back
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to the plaintiff to persuade they were actually right.
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If Commissioner Thompson's dissenting opinion
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means something else, with a presumption, then he means
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something else, which I think is not in step with the
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case law, perhaps even for output markets, but certainly
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not for innovation markets for the reasons that we have
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talked about.
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Problems of the investigator.
The first point,
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I think, is obvious to everybody sitting in this room.
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The investigator has a duty to evaluate the transaction
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before it.
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serious competition in innovation, what are you going to
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do?
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just let the transaction go if you think there is going
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to be a problem.
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In the transaction before you, if you see
You have a duty to look at it.
You don't want to
You have to dig in.
The law with the state of the economics, there
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is no easy path here, is there?
We have just been
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through it.
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could be some adjustments, depending on who is involved,
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the burden of proof is clearly going to be on the
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plaintiff, and the plaintiff and the investigator will
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have to show a number of difficult issues.
I think the burden of proof, while there
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Innovation
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space which will occur, the merger's likely effect on
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innovation, the manner in which output will be reduced,
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and again, output is output in a goods market, and when
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the output effect will be felt.
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Not easy stuff, right?
We are talking about doing this in at least two
different markets, two different spaces.
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Again, as sort of the last resort of the
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investigator, the importance of empirical evidence from
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the merging parties in the markets cannot be overstated.
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Without the evidence, the economics isn't going to get
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you all the way there.
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evidence.
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You are going to need the
I won't go through this in any kind of detail.
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I just thought through questions on how I might think
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about doing an innovation analysis.
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Is innovation an important dimension of
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rivalry?
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for price effects.
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beer.
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The answer is no, forget it.
Why bother?
Look
Go out with your colleagues for a
Second question, will innovation effect
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existing product markets in a reasonable amount of time?
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The answer to that is yes, let's not worry about
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innovation markets.
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Let's do a competitive effects on the goods market.
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Gil will remember, this was the Microsoft/Intuit case.
It sounds like a goods market to me.
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We toyed with bringing a case in an innovation market.
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We said we have a real market here, why are we bothering?
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Innovation is an important dimension of competition.
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one of the two players is in the market, then we have a
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potential competition case.
If
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I had to sit back for a second and say, I think
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a potential competition case is easier than an innovation
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market case?
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Well, there you have it.
Can the boundaries of the innovation market be
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determined?
We went through that.
It's not child's
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play.
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Again, I put the efficiencies in with the obligations of
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the plaintiff.
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show there is an effect, then the plaintiff should also
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be comfortable showing the efficiencies don't outweigh
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the other effects.
Does the merger provide incentives us to innovate?
Again, if it's the plaintiff's job to
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And then last, the harm to the output market,
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without this last piece, not only do we have an economic
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problem, but we clearly have a legal problem as well.
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With that, I know it's all painstakingly clear.
Thank you very much.
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MR. FRANKENA:
Thank you.
Ann?
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MS. MALESTER:
Well, I must say that I'm really
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surprised that this many people showed up this early in
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the morning to hear us talk about innovation markets, but
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this must mean all of you are certainly aware that we
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have been having a debate in the antitrust world for well
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over a decade about what the antitrust agencies should do
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about the concept of innovation markets, and essentially,
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should there be any enforcement actions in this area?
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As you know, there are those who believe that
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because the empirical economic data has not been
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conclusive in showing a correlation between increased
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concentration and reduced innovation, that really the
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antitrust agencies should just throw up their hands and
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walk away and not think about bringing enforcement
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actions in this area.
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There are others, and I count myself in this
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group, who believe that preserving competition at the
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research and development stages is really important, but
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recognize, as Steve has pointed out, that there are some
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real problems and a lot of difficulties in really
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assessing how innovation markets should be defined and
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what the antitrust agencies' role really should be there.
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First, let me just give you two reasons why I
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think that it's vital for the agencies to preserve
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competition and be vigilant in protecting competition at
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the R&D stages.
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First of all, because in the long run, a merger
that reduces the pace of innovation can be far more
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harmful to consumers than a merger that results in a
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price increase of quality decrease.
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Second, because in the real world, where
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companies compete every day, it's very clear that
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competition is the primary incentive that spurs increased
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level of innovation.
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In preparing for this workshop, I re-read the
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testimony that the FTC received during the 1995 hearings
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on global competition.
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the economists could only agree that it was really
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inconclusive and they weren't sure what the evidence
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showed, the business officials who testified during those
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hearings were, and I'm quoting the words of the staff's
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report, "Unanimous and emphatic in their view that
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competition is the primary incentive for innovation."
16
I spent well over a decade at the FTC as an
What struck me is that although
17
assistant director in the merger division.
18
hundreds of documents, and talked to dozens of business
19
officials, who told us that they supported that
20
conclusion.
21
I have seen
When you look at the reality of the way
22
businesses make their decisions, I think it's clear that
23
typically businesses invest more resources, work harder
24
and work more quickly in their research and development
25
efforts when they are faced with the possibility that
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1
they will be beaten to the market by another firm that's
2
working to develop a competing product.
3
We saw evidence in our investigations that
4
companies often spend a great deal of time tracking the
5
research and development projects of other companies that
6
are working in their general area.
7
information about the schedule and progress of competing
8
R&D programs, and they make investment and priority
9
decisions based on the level of competition they believe
10
they face.
Companies seek
11
They also confirmed that being the first to
12
introduce a new or improved product can be critically
13
important to many industries.
14
that gives you increased market acceptance, lock in of
15
customers, there are many reasons why in some industries
16
reaching the market first is very important for future
17
success.
A first mover advantage
18
Having said all that, I really do agree with
19
Steve when he explained that it is much more difficult
20
for the plaintiffs to predict under what circumstances a
21
merger is likely to reduce the pace of innovation, and we
22
know that it's not that easy to even predict when a
23
merger will result in a price increase.
24
25
In many cases, it is difficult to identify all
the potential sources of innovation, or to identify
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whether the merged firm will have both the ability and
2
incentive to reduce the pace of innovation after the
3
merger, and finally, even harder to decide what type of
4
efficiencies, if any, the merged company will be able to
5
achieve in combining their R&D programs.
6
I think it's for that reason when you look at
7
the past 10 years in enforcement at both the Justice
8
Department and the FTC, you will see first a relatively
9
small number of cases where the agencies alleged only a
10
reduction in innovation, not tied to an existing current
11
goods market, and second of all, you see those actions
12
that there are generally in the pharmaceutical and
13
defense industries, where first of all, it is quite easy
14
to identify generally the companies that are
15
participating in research and development, and where the
16
barriers to new companies beginning development are
17
extremely high.
18
Let me turn for a moment to the Genzyme
19
investigation, which is the most recent pronouncement by
20
the Commission, and which brought forth three separate
21
statements by the Chairman and Commissioners Thompson and
22
Harbour.
23
That decision could be the subject of an entire
24
panel, so I'm just going to talk about two points.
25
First, really the question about whether in innovation
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markets, there should ever be a presumption of
2
anti-competitive effects at any level of competition, and
3
second, my own views of what Genzyme might tell us for
4
future Commission enforcement decisions.
5
On the first point, I was frankly puzzled by
6
the seeming importance that all the statements placed on
7
whether or not there should be a presumption of
8
anti-competitive effects.
9
feeling that in existing goods markets, where
10
presumptions are raised at much lower concentration
11
levels than was the case in Genzyme, but the antitrust
12
agencies bring an enforcement action every time a
13
presumption of legality is raised.
14
nothing could be further from reality.
Somehow, that left me with the
We all know that
15
I think that the data that the Justice
16
Department and the FTC released two weeks ago on
17
horizontal mergers and the concentration levels and which
18
ones resulted in enforcement versus closing, make it very
19
clear that even in existing goods markets, there are
20
highly concentrated markets where merger may reduce the
21
number of competitors from three to two and even two to
22
one, where in some cases, the Commission did not bring an
23
action or the Justice Department did not bring an action.
24
What does the presumption mean?
25
that the merger deserves a really close scrutiny, and
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It only means
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1
that the agency in question will spend as much time as it
2
has to develop an intensive fact based analysis.
3
I don't think there is anyone at the Commission
4
who believes that Genzyme did not deserve that kind of
5
close scrutiny.
6
Commissioners spend a great deal of time and effort in
7
analyzing the large investigatory record, and in
8
assessing what the facts were and what the analysis
9
should be, and that is really what I think the
10
presumption means, that it's a case that warrants that
11
kind of scrutiny.
12
Both the agency staff and all of the
Finally, let me just talk for a minute about
13
what the impact of Genzyme is and what it tells us about
14
the Commission and its likely enforcement in the
15
innovation markets.
16
First, I think clearly the Commission's
17
decision indicates that the current Commission is likely
18
to approach any innovation market analysis with a lot of
19
caution, but there are four reasons why I think you
20
shouldn't read too much into what the Commission may do
21
in other cases based on the Genzyme decision.
22
First of all, I think it's important to note
23
that not one of the three statements that were issued was
24
signed onto by anyone other than the author of that
25
statement.
Two of the Commissioners, Commissioners
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Swindle and Leary, although they voted to close the
2
investigation, did not join in any of the statements that
3
were the public statements that were issued.
4
Second, in the Genzyme case, both companies,
5
Genzyme and Novazyme, were actually in the late clinical
6
stages of drug development, which is earlier than the
7
other innovation market cases where the Commission has
8
investigated and taken action before, and that means that
9
the likelihood of both products making it to market is
10
less than in the other cases the Commission has looked at
11
in the pharmaceutical area.
12
Third, the drugs in question were covered by
13
the Orphan Drug Act, which grants a seven year market
14
exclusivity to the first drug that makes it to market.
15
think that fact also makes it less likely than in a
16
traditional pharmaceutical market that both drugs would
17
in fact compete in a future goods market, and finally,
18
the Genzyme acquisition was not reportable under the
19
Hart-Scott-Rodino Reporting Act, and the transaction had
20
closed well before the Commission was in a position to
21
assess its legality.
22
Trying to design a remedy in an innovation
I
23
market in a consummated merger where the core assets are
24
scientific personnel, know how, access to academic
25
researchers, and many other human factors, really
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presents quite a daunting task, and the vast majority of
2
cases that the agencies face, which isn't the typical
3
Hart-Scott-Rodino pre-merger review, I don't think raise
4
the same level of difficulty in designing and
5
implementing a remedy.
6
In sum, I think Genzyme was a very important
7
case because it gave the Commission an opportunity to
8
look at a really complete investigatory record, and to
9
take the time, which often doesn't happen with Hart-
10
Scott, to really debate the issues.
11
Obviously, different people at the agency came
12
to different conclusions on what the facts were and what
13
the conclusions should be.
14
exercise at the Commission.
I think it was an important
15
I also think the specifics of that case and of
16
the market in question and the fact that there wasn't a
17
majority opinion on what the appropriate analysis should
18
be, at least should leave everyone with some caution in
19
predicting what the Commission will do in future cases.
20
MR. FRANKENA:
Thank you, Ann.
Dick?
21
MR. RAPP: I'm in the situation that many FTC
22
speakers are in.
I have to issue a disclaimer before I
23
begin, because there are many of my colleagues at NERA
24
that disagree with my extremist positions.
25
over there, the man with his fingers in his ears, has the
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Tim Daniel
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look of participatory mortification on his face, is one
2
of those.
3
not shared by everybody at my firm.
4
I want you to know that my point of view is
I do find myself once again as the extremist in
5
the group, wishing to repeal entirely the use of
6
innovation market analysis.
7
For those of you who do not know me, I want to
8
assure you that it is not that my position is what it is,
9
not because I'm an anti-interventionist generally, that
10
the good government shouldn't put its aura in, et cetera,
11
that is a poor characterization of my views about almost
12
everything else.
13
I am an opponent of the use of innovation
14
market analysis frankly for an arcane epistemological
15
reason, and that is there is an absence of underlying
16
theory, and in a nutshell, what I mean is that antitrust
17
works well when it is based upon economics.
18
a science.
19
explanation, a hierarchy of general laws and law like
20
statements.
Economics is
What that means is that it uses scientific
21
The horizontal merger guidelines are a
22
wonderful example of economic science for policy
23
purposes.
24
demand elasticity, which is right in the mainstream of
25
the laws of economic science, going all the way up to the
The SSNIP test and other devices invoke the
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law of demand.
2
Cournot's welfare triangle, Stigler's theory of
3
oligopoly, all underpinnings of the merger guidelines are
4
inherent, and the guidelines have a strong theoretical
5
basis.
6
facts as well.
7
concerned.
8
market analysis is basically reasoning by analogy.
9
policy premise, as I see it, is the proposition whether
10
the social gain from stopping an R&D merger exceeds the
11
social gain from letting it go through is predictable,
12
that you can tell which way that inequality will run.
13
I think the only basis for that that I can
By the way, we observe consistency with empirical
That is secondary as far as I'm
I care most about the fact that innovation
The
14
perceive is an analogy to the relationship between
15
competition, quantity and prices in goods markets, and
16
the analogy is false.
17
article, as many of you know, in 1995, that captures my
18
views about that subject.
19
I won't dwell on that.
I wrote an
Looking now in the five minutes I have, because
20
I will not impinge on the discussion period, where you
21
get to drag out of me in conversation, let me make just
22
three quick points, two of them relating to Genzyme and
23
then an attempt to be a little constructive instead of
24
being a naysayer.
25
accuse me of bothering an ugly baby.
Steven here is sick of having to
Let me see if I
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can't do something better than that.
2
Whose baby is that?
I want to point out -- I'm going to go through
3
this whole slide -- it's really the first point that I
4
wish to remark to you about, and that is that I am an
5
admirer of Chairman Muris' statement in Genzyme.
6
remarkable to me for the fact that it changes the basic
7
policy rule.
8
with peculiar circumstances of the case, but one should
9
not lose sight of the pun on the word "competition."
10
What we are talking about now is a race to
It is
It has to do, as Ann described very well,
11
monopoly.
It has nothing to do with the kind of
12
competition that is output expanding, price reducing
13
competition, the likes of which we talk about when we
14
talk about horizontal mergers.
15
to do with this.
Market power has nothing
16
The underlying characteristic of -- let me say
17
the most basic finding in the majority statement is even
18
though they are nowhere near the end of the race, that
19
the pace of the two parties is predictable, the issue is
20
not who is going to come in first.
21
the second will come in at all or come in sooner rather
22
than later.
23
It's whether or not
The fact that there is no possibility for delay
24
of the first one getting to the deadline as a result of
25
the merger means the merger has no negative impact.
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That's my quick two second reading of the majority
2
viewpoint without all of the reasoning that follows.
3
All I wish to say is that as an analysis of
4
incentives, it makes a great deal of sense to me.
5
quite novel.
6
The lawyers in the group can consider how it would play
7
at Section 7 or FTC Section 5 enforcement, but I think
8
it's unusual.
9
It's
That doesn't bother me as an economist.
My real focus is on Commissioner Thompson's
10
dissent, because I have to say in the debate between the
11
extremists and those who favor the innovation market
12
approach, as far as I'm concerned, I can't be both a
13
player and a referee, but I have to say as far as I'm
14
concerned, my reading of Commission Thompson's dissent
15
led me to say game over, I win.
16
This is a litany of what can go wrong if merger
17
analysis is applied using its very premise, that is to
18
say reason by analogy to the goods market.
19
You talk about a merger, a monopoly, and speak
20
about market power, even though there are no goods around
21
and market power is not the issue.
22
I know about presumption of anti-competitive
23
effect without either theoretical or empirical basis.
24
There is this -- now we are getting back to the lesser
25
things that I won't dwell on so we can get to the
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conversation part -- this struck me as extraordinary.
2
There is a difference to be expected in the
3
resource allocation of Genzyme, arising from the
4
difference between trying to get the first approval with
5
orphan drug exclusivity, to save a lot of children's
6
lives and make a ton of money, and trying to get first
7
approval with orphan drug exclusivity for a longer period
8
of time for the sake of first mover advantage.
9
I can go along with all of those who say
10
competition spurs innovation.
It makes a certain amount
11
of sense.
You see how the notion can be, I would say,
12
misused.
It represents to me a believer in competition,
13
certainly an oddly crabbed view of human nature.
14
There is a further litany of errors, errors in
15
economics and logic, but I believe here, in Commissioner
16
Thompson's dissent, we can talk about them if you like,
17
my worry is that some day President Kerry might appoint a
18
Commission with this frame of mind, and that is the
19
reason why a line of by and large sensible -- I won't say
20
unobjectionable -- to me, understandable decisions both
21
by the Pitofsky Commission and the Muris Commission, are
22
not good evidence that we are okay with the innovation
23
market concept.
24
25
Let me see if I can do what Chairman Pitofsky
did to me at the 1996 hearings, to try and find some
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2
compromise in my extremist position.
At the very end of that panel, he put the
3
following question to me.
He said, look, just imagine
4
that Boeing is building the next airframe.
5
jet engine makers.
6
cam systems and start designing the new jet engine that
7
would go along with that.
There are two
They are about to sit down with their
8
Do you propose that the Federal Trade
9
Commission, if they came to us and said we want to merge,
10
we want to do a joint venture, we want to turn those two
11
research efforts into one, that we ought to just go away?
12
My answer to him was no, sir.
What I wish I
13
had said is no, sir, and here is why.
No, sir, because
14
you can do a goods market analysis, even though the first
15
good, the design and character of either good has not
16
been invented.
17
research effort and whether or not they will pour it on
18
to a greater degree on R&D spending or effort, if they
19
merge, because you can't predict that.
You have the means to analyze not
20
What you can do is you can say, look, this is a
21
case where there are going to be two goods competing with
22
one another versus one, if the merger or the joint
23
venture takes place.
24
guidelines reasoning to deal with that, and that makes it
25
okay with me.
We can use horizontal merger
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My attempt at a constructive end to my
2
extremist talk here is to say that to the extent that we
3
are -- let me put it in terms that Mark used when he
4
wrote us a series of possible questions to discuss.
5
I think the distinction between innovation
6
markets that pay attention to R&D effort, about which we
7
know very little and predict very little, the distinction
8
between that and future goods markets, which to me means
9
taking only those cases where we can actually foresee
10
what the goods are and what the number of players, the
11
number of pricing voices will be, and make some attempt
12
at doing horizontal merger guidelines analysis.
13
That distinction between innovation markets on
14
the one hand and future goods markets is very great, and
15
as far as I'm concerned, one that should strive and be
16
well, and the other should quietly go away.
17
Thank you.
18
MR. FRANKENA:
Thank you.
Just following up on
19
that, I'd like to ask Ann a question.
20
in 1995, the antitrust agencies had completely listened
21
to what Dick said, and had said that henceforth, in going
22
forward, we won't be defining innovation markets.
23
think innovation is important and we think competition
24
may affect the rate of innovation, but we're not going to
25
delineate innovation markets, so we don't want our staff
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Let's assume back
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to be doing that.
2
My question for Ann is what difference would
3
that have made in the types of investigations, things
4
like that?
5
MS. MALESTER:
I think there are maybe two
6
examples that I can use to show you why I think Dick's
7
approach presents enormous dangers to competition, that
8
would allow mergers to proceed, that I think would have
9
really, really serious anti-competitive impact.
10
The first might be similar to the case that the
11
Justice Department brought, and I think it was during the
12
time Steve was there, Lockheed/Northrop Grumman.
13
It was really a step further back from the
14
Boeing example that Dick and Chairman Pitofsky talked
15
about, where the Justice Department raised the concern
16
that there were only three companies left in this country
17
that really had the capabilities of designing military
18
aircraft, and if Lockheed were permitted to buy Northrop
19
Grumman, that would be reduced to two.
20
There were no specific plans for a fighter
21
aircraft, but as we all know, in military procurements,
22
there are eventualities that arise that very quickly turn
23
the Defense Department into needing something new to meet
24
a new military challenge.
25
Even though there wasn't a future goods, a
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specific program or product on the drawing board, both
2
the Justice Department and the Defense Department felt
3
very strongly that one of the reasons to block that
4
merger was to preserve the capabilities of designing and
5
producing a particular weapons platform.
6
I think that is a step sort of removed from
7
Dick's position of we have to have a specific good that
8
we are looking at, even if the first one hasn't been
9
produced yet.
10
proceed would have very serious anti-competitive effects
11
for our economy, and in that case, for our national
12
security.
I think it's a case that if allowed to
13
The second point I want to make is moving even
14
further back away from the future goods markets, and this
15
may be something that is specific to the pharmaceutical
16
industry, and that's an industry that I did a lot of work
17
in, but may be applicable to others.
I'm not sure.
18
That is apart from looking at what the impact
19
of eliminating the merger is on the future goods market,
20
is it going to mean that there will only be one company
21
selling a product at some point.
22
There is actual competition going on during the
23
research and development phase when two companies know
24
that they are both trying to develop the drug, and want
25
to get approval first.
Those companies will, for
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example, do clinical trials that involve many more
2
patients, to make sure they get a broader range of
3
patients with different kinds of seriousness of disease.
4
The kinds of clinical trials they do, the
5
amount of effort and outreach to patients they do, there
6
are benefits right now in the present of having two
7
companies competing to develop a drug, completely
8
separate from the actual benefits, potential benefits,
9
that we are not sure will be realized because we don't
10
know yet if both companies will successfully develop the
11
drug.
12
I think that may not be completely responsive
13
to your question, Mark, but I think that gives an idea of
14
the different kind of scenarios that gives me concern, if
15
we take Dick's position to say absent a very identifiable
16
good that companies are actually producing or are about
17
to produce, the agency should simply step away.
18
MR. SUNSHINE:
Let me just jump in here, too.
19
I was actually tremendously comforted by Dick's last
20
example, but if we go back to the engine example, and
21
engines take years and years to develop, but if it's that
22
situation where Dick sees a potential enforcement action,
23
what we are talking about is the area of competitive
24
interaction between the two companies is in research and
25
development.
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Yes.
There will be a goods market, but that
2
goods market is a long way off.
3
we normally consider to be within the reach of Section 7
4
of the Clayton Act.
5
Usually outside of what
Innovation market is an immediate step to
6
identify where the activity of the two companies come
7
together and where there might be an actual reduction.
8
In the case that Dick put forward, there will
9
be less innovation competition in developing this new
10
engine some years off, which will translate itself into
11
output.
12
If you want to say, no, no, that's not an
13
innovation market, that's a future goods market, fine.
14
Now we are talking semantics.
15
MR. RAPP:
Are we talking semantics then if we
16
rule out the application of the innovation market concept
17
to the Genzyme case?
18
we could make about how many goods would otherwise go to
19
market, what the future market would look like.
20
are no such goods.
There, there is no prediction that
There
21
I see that as a sharp distinction.
In other
22
words, my primary criteria is that the analysis not deal
23
with issues like the degree to which R&D spending will be
24
cut back or reduced.
25
some future, some prediction about a future goods market.
It has to do with an analysis of
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That's the distinction I want to draw.
2
MR. SUNSHINE:
How do you get there?
How do
3
you get to the output effect on the goods market without
4
understanding what's going on at the research level?
5
MR. RAPP:
It maybe that what I'm talking about
6
comes very, very close to the concept of potential
7
competition, where we are already very close to home.
8
You can do that even if the design of the goods
9
hasn't occurred, if you can predict the future.
10
a closed conversation.
11
MR. SUNSHINE:
This is
But just on the potential
12
competition, you would then relax the two year time
13
frame.
14
MR. RAPP:
15
MR. SUNSHINE:
16
17
18
19
20
21
Sure.
It means nothing to me.
Now, I think we are just in
different legal labels for looking for the same effect.
MR. FRANKENA:
All right.
You will need to get
a microphone.
MR. DANIEL:
I'm Tim Daniel, the aforementioned
NERA colleague of Dick.
I would be curious -- I liked the jet engine
22
example a lot.
Suppose one flows into that going into
23
the production process that Boeing and everyone else
24
knows that there is some probability that this engine
25
simply will not be a success, that the project they have
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on the table is for an airplane that requires advances in
2
science and advances in material science or something
3
where there is some probability that engine won't work.
4
So, you don't know with certainty there will be such an
5
airplane in need of such an engine.
6
I would be curious if the panelists generally
7
could just speak to how that analysis might change if
8
that were thrown in.
9
MR. SUNSHINE:
I think it's an essential part
10
of the analysis.
11
on what exactly are the incentives of the parties, and
12
what effect is the combination going to have, factors in
13
terms of are there efficiencies that come from it, the
14
necessary investments, because of the size of the project
15
and the risk of the project, whether it requires one firm
16
instead of two.
17
Again, the idea has got to be a focus
All those considerations go into the question
18
of whether this makes sense or not.
19
we have talked about before, applying straight horizontal
20
merger guideline standards to this innovation question is
21
misplaced.
22
For all the reasons
If this project is so risky that two firms need
23
to do it together or it won't get done, I think that
24
answers the question.
25
Let me stop there.
I'm sure Dick doesn't feel
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differently about it.
2
different view.
3
I don't know, Ann, if you have a
MS. MALESTER:
It seems to me it is not only
4
the question of is the standard that Dick puts forward
5
requiring that we know that a particular product be
6
successful, that they will in fact design an engine,
7
which I think really is a pretty extreme position, but I
8
would take the added step of saying if there are only a
9
very small number, in this case, two companies, that have
10
the technology and know how and expertise to design
11
aircraft engines, then we should be concerned about
12
allowing that merger for future aircraft engine
13
developments that aren't even yet on the drawing board,
14
and that was really why I brought up Lockheed/Northrop.
15
Stealth technology.
That was another reason
16
why the Defense Department and Justice Department felt it
17
was critical to keep a number of companies that knew how
18
to --
19
MR. RAPP:
The quick mental analysis that you
20
did to reach that conclusion doesn't really have much to
21
do with an analysis of what is going to happen to R&D
22
efforts.
23
if it is decades down the road, how many goods are going
24
to be available at the end.
25
it's processible in economics, as opposed to assertions
It has to do with being able to forecast, even
I'm okay with that because
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about whether more R&D or less R&D effort will arise and
2
whether that's a better or a weaker thing.
3
somewhere in there, but I won't bother illustrating it.
4
A decade or so ago, we had 27 drug companies,
This slides
5
big drug companies.
6
Is anybody prepared to say that major losses to R&D
7
effort have arisen because of the combination of those?
8
I don't think we are in a position to say that the
9
connection between concentration and innovation --
10
These days, we have seven of them.
MS. MALESTER:
I think that's a very, very
11
different proposition than what we have really been
12
talking about, which is competition or the lack of
13
competition, not whether or not there are 27 or 10, I
14
don't think in any current goods market that would
15
concern us.
16
I do think -- I don't think anyone on this
17
panel has said that we can look at the dollars spent on
18
R&D and say it's more or it's less and that means we are
19
going to get a better product, we are not.
20
Those are really not the issues on the table.
21
The question is whether having competition in designing a
22
new weapons system, for example, is going to provide the
23
purchaser with a better product in the end, a more
24
innovative, a more radical breakthrough.
25
I think there are quite a number of historical
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assessments you can look at that say yes, they do.
2
MR. HOVEN:
I'm John Hoven, Justice Department.
3
I'd like to make the point that each of you
4
were just talking about tools in the shed, and there are
5
many others, and yours are relevant for some purposes and
6
not for others.
7
a good illustration of that.
8
I think the Lockheed/Northrop merger is
The presumption of the innovation markets
9
analysis is that innovation is a very predictable
10
process, just like building bricks.
11
and you get a product.
You spend the R&D
12
A good example is the expectation that the kind
13
of innovation we are looking at is innovation that has a
14
known identifiable product at the end.
15
extent, that was true, and to some extent, that was not
16
at all true in Lockheed/Northrop, that innovation in many
17
industries is a process of ideas coming together in
18
unexpected ways and you want to preserve an industry
19
structure that allows that to continue to happen, and in
20
particular, in some cases, an innovation structure that
21
generates ideas, products that nobody can think of yet.
22
I think to some
I think the general process of innovation
23
analysis ought to be one in which one inquires how does
24
innovation take place in this particular industry, and
25
maybe it's the kind of approaches you are discussing, but
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there are a lot of others that should be examined as
2
well.
3
MR. SUNSHINE:
I think certainly in the
4
framework that I put forth, and I think in the framework
5
that actually Muris puts forward in the statements, is
6
the recognition of what you said is exactly right.
7
The question is should we examine the
8
innovation market and under what circumstances can we
9
actually accomplish innovation effects.
10
minority of cases.
11
predict it, then you should go home.
12
It's a small
If you can't have the confidence to
Once you say that, then if you're talking about
13
innovative activity, there are three categories of what
14
can happen.
15
the future product.
16
in existing product, or it can be innovations that won't
17
be used at all.
18
It can be innovations that will be used in
It can be innovations that are used
That last category I don't think antitrust
19
enforcement should care about.
For the first two
20
categories, now we are talking about legal theories, is
21
it a competitive effect of a goods market, is it a
22
potential competition case.
23
to that is.
24
have to have developed your legal theory and put it
25
forward.
I don't care what the answer
When you get into a court, you are going to
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To me, that's the connection.
Find the
2
innovative effect, put it with confidence under the given
3
set of facts, if you can.
4
in the business.
5
there's a case.
6
If you can't, you shouldn't be
Identify an output effect, and then
MR. RAPP:
May I just add a sentence with that
7
in mind?
8
statement in Genzyme, but I think, and this is the
9
troubling part from my standpoint, that it is also
10
consistent with the dissent, in that Commission Thompson
11
may have used the same reasoning and had sufficient
12
confidence in his ability and that of his advisors and
13
staff to see through these issues.
14
example of what can happen when innovation market
15
analysis goes wrong.
16
It is perfectly consistent with the majority
MR. SUNSHINE:
I think it's an
I agree with your criticism of
17
Commission Thompson's dissent, and I think it is wrong.
18
I think in that dissent, he does make a straight analogy
19
to a goods market, for the reasons we have talked about,
20
that is improper.
21
Commission, I think it would be misguided.
22
what Chairman Muris says.
23
If that were the policy of the
MR. FRANKENA:
That's not
I have a question for Dick.
24
Based on Chairman Muris' statement, and if you just
25
accept the facts, are you comfortable with that word of
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"analysis," of trying to reason out the effects on
2
incentives and so forth?
3
MR. RAPP:
Yes.
I'm comfortable with
4
"analysis" as long as it reaches the conclusion that is
5
functionally the equivalent of not making innovation
6
market policy.
7
One of the reasons that I admire what the
8
Chairman's statement does is that it reasons sensibly by
9
analyzing the incentives to an outcome that says let's
10
leave this alone, and what I find hard to imagine, and
11
maybe it's the shortage of imagination on my part, I have
12
a great deal of respect for our former chairman who would
13
advocate this policy, of Steven and Rich Gilbert, who are
14
the parents, but I cannot imagine a well reasoned
15
economic statement -- a statement that is well reasoned
16
in economics that says and now let's intervene.
17
MR. FRANKENA:
Taking a broader view here, one
18
of our panelists wrote in the mid-1990s antitrust laws
19
and merger enforcement in particular have not focused
20
sufficiently on the consequences of market power for the
21
pace of industrial innovation.
22
I'm just wondering broadly whether you think
23
the agencies are doing sort of the right amount, too
24
much, and so forth.
25
MR. SUNSHINE:
Those words sound strikingly
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familiar.
2
I don't know where they came from.
Again, those words were written in 1994 and
3
1995.
4
there has been a whole set of investigations by both
5
agencies where there has been real focus on innovation.
6
There are cases where I would certainly agree
7
with Dick that innovation analysis may have been carried
8
to the extreme or inappropriately applied or applied
9
without basis.
10
innovation is under enforced, but as I said today and I'm
11
glad we stuck with the analogy of tools in the shed, it
12
is a tool in the shed.
13
the shed.
14
circumstances.
15
sure.
16
I think that during the time period after that,
I would not take the position today that
It is not the sharpest tool in
It's one that should be used only in the right
I don't feel it's under used today for
MR. RAPP:
I'm going to not answer the question
17
directly but raise an issue that arose out of the global
18
marketplace report, the 1996 report, and it was
19
specifically quoted in Chairman Muris' statement, which
20
puzzles me enormously, and I wonder whether I am the only
21
one.
22
That is this business of saying we recognize
23
the potential infirmities with this approach, so we are
24
going to be very cautious and conservative and apply it
25
in circumstances where only small number mergers are
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involved.
2
Is that a fair statement, Ann?
3
MS. MALESTER:
4
Do you mean small number of
competitors?
5
MR. RAPP:
Small number of competitors.
6
that is not conservative.
7
one that thinks that?
8
avoiding waste, in that if you don't carry innovation
9
market analysis into every seven into six merger, you are
10
receiving resources in some sense, but in those settings,
11
in the large number settings, you are going to have --
12
the likelihood is that the merger is going to be allowed
13
because somebody else is going to win, and if there's a
14
false positive that arises in your innovation market
15
analysis, in your merged number setting, it's not going
16
to be that consequential because somebody else is going
17
to get to the finish line.
18
That's radical.
To me,
Am I the only
It's conservative in the sense of
My definition of non-conservative radical
19
enforcement is to take this controversial concept to look
20
only to those mergers where it will be consequential
21
because you are intervening in a merger that is going to
22
determine the output of innovation, if you will, and
23
where if you get it wrong, there has to be harm as a
24
result.
25
do mean by "conservative," but we shouldn't lose sight of
It's a semantics issue on the one hand, what you
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the fact that we are only doing it into two to one
2
mergers, so it must be benign.
3
opposite is true.
4
MS. MALESTER:
At least in my view, the
I think really the reading of
5
what that global report meant and what the Chairman, I
6
think, alluded to, is simply the consensus that an
7
unilateral theory is by far the most likely if we are
8
going to apply an innovation market at all, and generally
9
speaking, you are looking at a very small number of
10
companies that have the specialized assets, so to speak,
11
to be innovating in the market before you are even
12
starting to think about unilateral theories.
13
was the impact of that.
14
MR. RAPP:
15
MS. MALESTER:
That really
I don't disagree.
In terms of your point of yes,
16
it's radical because where it makes a difference, we will
17
just turn it around and say it makes a difference, and
18
from my point of view, because I think protecting
19
competition where it makes a difference is important, I
20
think it is the right place to put our efforts.
21
MR. RAPP:
If that statement were always
22
prefaced by the prior statement, that the reason to be
23
conservative is that we are dealing in a realm of
24
uncertainty when we can't be all that confident that the
25
decisions that we make will be the correct ones, if it
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weren't for that, I could go along easily.
2
combination of those two things together strikes me as
3
problematic, my only point.
4
MR. SUNSHINE:
The
Let me ask you one question tied
5
to Genzyme.
Suppose that the drug in question did not
6
qualify for orphan drug status.
7
outcome of the case?
8
you who are not pharmaceutical, it's not a winner take
9
all situation.
Does that change the
Orphan drug status, for those of
10
MS. MALESTER:
11
that go into coming to a decision.
12
orphan drug situation adds a complication, but in and of
13
itself, shouldn't bar there being a case altogether, and
14
it's one factor you look at in a very large number of
15
factors in assessing whether or not the Commission should
16
take action.
17
MR. FRANKENA:
I think there are a lot of facts
In my own view, the
Just one final question.
Is
18
there anything that you think the antitrust agencies
19
could or should try to clarify about their approach to
20
analyzing the effect of mergers on innovation?
21
anything left they could actually do?
22
MR. RAPP:
Is there
I think conversations like this are
23
illuminating.
I can't think of anything other than that.
24
You know, seeing Greg Werden and Luke over there sitting
25
side by side leads me to ask a question.
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fair, forgive me.
2
Are there or have there been interactions
3
between the agencies about the differences in the
4
application of it?
5
the comparison.
6
drugs gets a lot more cases where entry barriers are high
7
and things like that.
8
or not there is interaction between the agencies on
9
enforcement of innovation markets.
10
11
I won't ask for specifics.
Obviously, the FTC, with its focus on
MR. FROEB:
I'm curious to know about whether
Not on specific cases, but
certainly on general policy matters, I'd say yes.
12
MR. WERDEN:
13
MR. SUNSHINE:
14
None that I participated in.
I thought Greg and Luke were
working on the 2004 innovation market merger guidelines.
15
16
That's
MR. FRANKENA:
Thank you very much.
I'd like
to thank both our panelists and the audience.
17
(Applause.)
18
UNILATERAL EFFECTS
19
MR. FROEB:
20
unilateral effects analysis.
21
today.
22
Welcome to the session on
We have five speakers
We have Greg Leonard.
He's here.
I know he's
23
here.
We will start with Valerie Rabassa from the
24
European Commission, followed by Joe Kattan, Greg Werden,
25
and Tad Lipsky, and then Greg Leonard, if he gets here in
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2
time.
He will bring up the rear.
There he is.
I want to thank the panelists for agreeing to
3
come on relatively short notice.
I also want to thank
4
the staff who has put together this conference, and also
5
worked on the enforcement data, getting the enforcement
6
data together, and releasing that as part of our desire
7
to be more transparent to the external bar and the
8
external community.
9
I also want to acknowledge the efforts of my
10
predecessor, Dave Scheffman, who began much of the work
11
that is now just coming to fruition.
12
By 1999, they had displaced the structure
13
conduct/performance paradigm in industrial organization
14
economics, thinking on pricing and output coordination in
15
oligopolies had evolved considerably from the view that
16
it made coordination almost inevitable.
17
While economists never entirely rejected
18
coordinated effects theories for mergers, they did reject
19
exclusive reliance on them, and they had more plausible
20
theories for many cases.
21
that unilateral effects analysis appeared prominently in
22
the 1992 horizontal merger guidelines, which were jointly
23
promulgated by the FTC and the Department of Justice.
Thus, it was not surprising
24
The unilateral effects analysis satisfied the
25
attorneys' demand for simple intuition that they could
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understand and explain to a judge, and at the same time,
2
it satisfied the economists' demand for more rigorous
3
analysis.
4
structural theoretic models to make quantitative
5
predictions of unilateral competitive effects.
6
It wasn't long before economists began using
In a price setting model, price goes up.
In an
7
option model, firms don't have to bid as aggressively to
8
win.
9
bargaining power.
10
we learned that mergers aren't usually profitable with
11
equality setting models.
12
In a bargaining model, the merged firm gains
In the equality setting model, well,
The controversy surrounding unilateral effects
13
analysis has focused on the application of structural
14
models to individuals cases, their main virtue is they
15
force assumptions to be made explicit and they provide a
16
clear mapping for the facts of the case to the effects of
17
the merger.
18
The shortcoming is that the models are
19
necessarily unrealistic and abstract away from the
20
important features of the industry. As such, the results
21
may be quite misleading.
22
Unfortunately, we have little evidence on
23
whether these models can accurately predict the effects
24
of real mergers.
25
about what is the best way to analyze unilateral effects
Instead, we are left with controversy
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theories.
2
What follows is we will hear from Valerie
3
Rabassa, Joseph Kattan, Greg Werden, Tad Lipsky, and Greg
4
Leonard on this and more general topics.
5
with Valerie.
Let's start off
6
MS. RABASSA:
Thank you, Mr. Chairman.
7
Let me talk about the Lagardere case.
It's a
8
European case which took place last year in France.
9
was analyzed by the European Commission.
10
the leading 2003 cases of the media industry.
11
Let me talk about the transaction.
It
It is one of
It was very
12
simple.
13
the first and second player of the book industry.
14
book industry in Europe is characterized by a very high
15
level of vertical integration.
16
industry.
17
publishing right, and who sell the rights to the
18
publisher, and distribute the books to the retailers who
19
distribute or sell the books to the final consumer.
20
given the particularity of these cases was an econometric
21
study carried out for the Commission by Professor Marc
22
Ivaldi, and it studied basically the effects of trash and
23
trees in the downstream segment.
24
25
The transaction concerned a transaction between
The
Different animals in this
In the upstream market, you have the
And
It was very interesting because it was the
first time that we incorporated an econometric study into
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a final decision.
In this study, they will in effect
2
measure, as you know, the entire concentration, the fix
3
in price, and then we have the impact to the final
4
consumers who produce and choose a profit of the firm.
5
So this was the launch with VUP, if Lagardere
6
had decided to increase price obviously unilaterally,
7
some of the final consumers would turn to the other
8
competing publisher, who may reach VUP.
9
thought of the concentration with VUP has shared a
10
subsidiary of Lagardere to accept part of this
11
competitive pressure, and so can recover part of these
12
customer.
So I've always
13
In this case, we use a very strong model, the
14
nested logic model, which is quite adapted to the book
15
industry, which is characterized by differentiated
16
products.
17
family of the discrete choice model, which was very
18
interesting in this case because obviously you cannot buy
19
too seminal a book.
20
The logic model, as you know, is from the
The consumer in this case made a discrete
21
choice, a model, a different set of economists and then
22
choose a book on the concerned list.
23
consistent with the Bertrand Model of competition and the
24
estimation was three stage least-squared.
25
Simulation is
So the reasons why it's quite interesting is
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because we find that the end price of the books were
2
significantly increased in the downstream segment.
3
Obviously, we were looking at the consumer surplus and we
4
find that consumer surplus will also fall significantly,
5
which was equivalent to a very negligible part of the
6
turn-over of industry in the field I'm generally tied to.
7
What was wrong obviously there is that the
8
price increase was linked with the market size, and we
9
were able to reconstitute the market size in this case.
10
Again, we decided to receive -- the results
11
were quite robust to incorporate it into the final
12
decision, and we have used a boot strap method to
13
construct confidence intervals that are quite often used
14
in the econometrics field and we find that there is only
15
five percent variability that the price rise to the
16
concentration that could be including significant a
17
significant interval of plus or minus one percent, with
18
the mean value of the price change.
19
Results were quite robust because of the very
20
high number of observation to at least 10,000.
21
different statistical traits were quite significant, and
22
the main parameters, I mean the marginal ATAF of a given
23
book and the intra-brand correlation were quite stable.
24
Altogether I feel that's reasonable to quite robust as
25
for when we decide to incorporate this econometric study
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into the final decision.
2
Thank you very much.
3
MR. FROEB:
Joe, you're next.
4
MR. KATTAN:
I want to talk about, I think,
5
differences between the ways that lawyers tend to look at
6
unilateral effects and the way economists do, and
7
particularly with reference to the new models, the merger
8
simulations that are being done increasingly in
9
unilateral effects cases.
10
I want to begin by just talking a little bit
11
about the 1992 guidelines and what they say, and to
12
contrast that a little bit with the new simulation models
13
and pose the question whether we are asking the same
14
questions, that is do the guidelines give guidance or do
15
these simulation models answer the same questions that
16
the guidelines are asking.
17
I think it's pretty clear that the 1992
18
guidelines really changed the way that people look at
19
unilateral effects before 1992.
20
basically thought of in terms of monopoly or dominance,
21
and the insight of the guidelines was that unilateral
22
effects can arise outside the monopoly context.
23
Unilateral effects were
The merger of Daimler and Chrysler does not
24
exactly have the same effect as the merger of Daimler and
25
BMW, and if you were just looking at HHIs and market
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2
shares, you may get a misleading answer.
Some people thought we were returning to
3
submarkets, which was a term that had been discredited at
4
least within the Beltway.
5
litigating a case on behalf of the agencies, I would rely
6
on the submarket nomenclature simply because it is
7
something that the courts are familiar with and are
8
comfortable with, regardless of whether that nomenclature
9
really makes a lot of sense in terms of the way we do the
10
unilateral effects analysis.
11
Certainly, if I were
I think it is certainly the case that inclusion
12
of unilateral effects was the most important change in
13
merger law since the 1982 guidelines, and had a very
14
profound effect on merger enforcement, and it wasn't that
15
very long ago that one could hear people talking about
16
whether unilateral effects was in fact the only valid
17
theory for looking at mergers.
18
swung back a little bit.
I think the pendulum has
19
I think it's fair to say that what we saw in
20
the guidelines is a synthesis of good economic theory,
21
but also practical judgment about the qualities of the
22
tools we have available to us in merger investigations,
23
and how refined a judgment we can make about the effects.
24
To repeat very briefly what the guidelines say,
25
not to state the obvious, but to give a benchmark for
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what we are looking at, the guidelines focus on spacial
2
separation between products and product space.
3
is on localized competition where certain sellers compete
4
more closely with one another than with other sellers who
5
are in the same product market.
6
The focus
According to the guidelines, that requires that
7
there be a significant set of shares of consumers who
8
regard the product of the merging parties as their first
9
and second choices, and certainly the way that lawyers go
10
about applying the guidelines is by asking very often
11
about whether we are dealing with first and second
12
choices.
13
when trying to look at a case for the first time.
14
That's one of the first screens one applies
We have a 35 percent screen for the merged
15
entities' market share, the debate whether that is a safe
16
harbor or something else, but in fact, we have seen cases
17
where the market shares were lower than that that have
18
been brought.
19
I think these reflect a pragmatic tradeoff
20
between quality of the analytical tools that are
21
available in merger investigations and the theory.
22
certainly possible to argue, in fact, it has been argued
23
by Greg Werden and others, that you can have an
24
anti-competitive effect in a merger where the merging
25
parties are not the first and second choices of
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customers, and you can certainly draw the theoretical
2
picture that would be supported and have numbers to
3
support it.
4
The question certainly in 1992, and not
5
accounting for all developments and the analytical tools
6
that have taken place since then, was what are the tools
7
that we have and how refined a judgment can we make, and
8
the judgment was, at least at that point, we are going to
9
look at next best substitutes.
10
Now, the way that the lawyers tend to approach
11
the issue of unilateral effects is, I think, familiar to
12
most people here.
13
You define a market, and you do that because not only the
14
guidelines say that, but Section 7 case law says that.
15
More broadly, I think doing an antitrust case
You look at markets, first of all.
16
without defining what the market is is a recipe for
17
disaster.
18
There was a recent case involving Rambus
19
Company that is in the news, where Infinion brought both
20
antitrust and fraud claims against Rambus.
21
claims were thrown out because Infinion forgot to define
22
a geographic market for memory chip technology, something
23
that probably would have taken two paragraphs in the
24
expert reports.
25
The antitrust
I think economists often take the position that
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defining markets is superfluous if they can get to the
2
answer more directly, and that may or may not be right,
3
but certainly from the viewpoint of the courts, if you
4
don't define the market, you may find yourself out in the
5
street, given a case like Infinion vs. Rambus, where the
6
definition of the geographic market was clearly a red
7
herring.
8
Once you define the market, I think the lawyers
9
focus on the issue of next best substitutes.
Why?
10
Because that's what the guidelines say, and the analysis
11
is driven by interviews and documents.
12
is to ask for way too many documents so that you can have
13
boxes and boxes of documents stacked up in the hallways.
14
I think there is a critique that one hears from
A lawyer's fetish
15
the economists that lawyers use models but don't
16
articulate them with sufficient particularity.
17
Certainly, the legal method does not require articulation
18
of the model the way the economic method does, and when
19
you look at the economic model, it tells you what the
20
assumptions are and if
21
the limitations are.
22
the models are.
23
assumptions are not made, what
Lawyers don't tell you exactly what
The model effectively if we look for
24
significant market share.
We look for next best
25
substitutes, and that embodies certain assumptions on the
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effects of the internalization of loss sales.
That is
2
sales that would have been lost to the merger partner
3
that now is internalized as a result of the merger, the
4
effects of that on the merged firm's incentives.
5
It's certainly true that the economic models
6
spell out their assumptions with greater particularity.
7
Lawyers have an advantage.
8
courts are lawyers.
9
thrown out on Daubert grounds, you know, the economic
10
models, which may be equally valid, are subjected to a
11
different kind of scrutiny, at least once you get it to
12
the court.
The decision makers and the
You cannot have a legal argument
It's a different issue at the agency.
13
The economists, I think it is fair to say, are
14
less bound by the guidelines because the methodology of
15
looking at what the rules are and applying them, that is
16
a legal methodology, and in fact, I've heard countless
17
times from various economists in various contexts,
18
mergers and otherwise, that the whole process of defining
19
markets and driving the analysis that way is an
20
artificiality, and if we have the tools that allows us to
21
get to the answer more directly, you know, why bother.
22
There is certainly an institutional bias
23
against the approach that the lawyers use.
I think the
24
economists have a desire to try to get closer to "the
25
real answer."
The tools that the lawyers use are fairly
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crude in many cases, making predictions about the future,
2
relying on assumptions, some of which are stated, some of
3
which are unstated, and have various degrees of support,
4
and obviously, if through the application of the data
5
methods, data analysis, you can get closer to the real
6
answer, why not try to do that.
7
It is certainly the case that the economic
8
approach has the advantage that the models have well
9
articulated specifications, which the legal approach does
10
not.
11
One of the things that we see now is that
12
economists have an insatiable appetite for data.
13
lawyers want documents.
14
a belief that virtually everything can be solved through
15
data exercises.
Economists want data.
The
There is
16
We have these models, and we can talk about --
17
Tim made the comment to the effect that the analysis not
18
helped by relying on the jargon, but I think there are
19
questions about whether the constraints of Bertrand
20
models are realistic in the context of differentiated
21
markets because they allow one point for differentiation,
22
which is price, and in fact, at least the way the issue
23
is posed in the guidelines, we are looking at a host of
24
variables that affect the positioning of different
25
competitors in product space.
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The insinuations are with us, and I think they
2
are going to be with us for a long time, whether or not
3
the lawyers like it, we are going to have to deal with
4
it.
5
Modeling simulations can be mutual if we are
6
all comfortable that they are attuned to the market
7
realities, that they are based on defensible assumptions,
8
and that's obviously where the debate has been.
9
One criticism has been that a small difference
10
in the assumptions can make very big differences in the
11
results.
12
economists is well, we have different ways of doing
13
things, we should probably do it more than one way and
14
impose some kind of reality check on your analysis and
15
also try to use the method that's the most conservative
16
from the standpoint of the party that you are.
The answer that I think you will hear from the
17
I'll pose the question whether there is a
18
conservative assumption from the standpoint of the
19
plaintiff, as all these models seem to be designed to
20
show a price increase.
21
Part of the issue that I have is price
22
increases are assumed in these models based on structural
23
assumptions, even though we are trying to run away from
24
structural analysis.
25
The question is what are we trying to show
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here?
Are we trying to show what the magnitude of the
2
price increase is.
3
that's not what we are trying to show, but I think that's
4
where it comes out.
I think everybody will tell you no,
5
When you get somebody telling you that I can
6
predict with 95 percent degree of confidence that you
7
have a price increase of 7.4 percent, you know, some if
8
it even has a decimal point, it sounds so precise that
9
you can debate that.
10
says, well, if you accept all my assumptions and that's
11
also before I take into account issues like repositioning
12
of product entry and efficiencies.
13
Of course, there's a footnote that
There is a risk, I think, of false empiricism
14
where you have these results which are so precisely given
15
with high degrees of confidence and decimal points, you
16
know, somebody is telling you this is the price increase
17
they are going to get.
18
I think this is fairly paradoxical, but the
19
economists' approach is more likely to identify problems
20
with a merger than the more traditional way the lawyers
21
do, simply because the models are designed to predict a
22
price increase, and because these models will predict a
23
price increase, even in relatively unconcentrated
24
markets, I think they tell us something, which is either
25
the models have a problem or the guidelines are wrong
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because the models will predict a price increase in
2
situations where the merger would not even get a second
3
look under the guidelines, things that are below 1500.
4
The economists' answer is well, we are not
5
really trying to predict the price increase, we have to
6
take into effect entry repositioning and efficiencies,
7
but in fact, if you accept this methodology, then what
8
you have done is really shifted the burden of proof to
9
the merging parties, because you have said on the basis
10
of some data analysis that you have a price increase
11
unless these other factors come into play, so now please
12
prove to me that this price increase will not happen.
13
In fact, to really say to the parties in most
14
cases prove repositioning, because anybody that has done
15
a lot of mergers will know that most mergers, the
16
efficiencies that we see are not efficiencies that affect
17
the incremental costs in a meaningful way.
18
efficiencies that I've seen tend to be overhead
19
synergies.
20
real.
21
the end of the day, they are not the type of efficiencies
22
you can expect to translate into a beneficial price
23
effect.
24
very hard to show entry, particularly when you are
25
talking about differentiated product markets, where you
Most of the
They are very important and they are very
They drive merger economic efficiencies, but at
Entry is kind of a defense of last resort.
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have large investments integrated with differentiation,
2
that is promotion, advertising, and also distribution
3
arrangement.
4
The parties are now in a position of being told
5
your merger is anti-competitive, you have to prove it's
6
not going to have a price effect, and really your resort
7
is repositioning.
8
common.
9
implicitly the burden of proof to the merging parties by
10
effectively assuming a price increase and really saying
11
the only issue is how big a price increase.
12
Repositioning is pervasive.
It's
At the same time, we are in effect shifting
Another question to ask is what happens to the
13
next best substitutes analysis.
We talked at the
14
beginning about what the guidelines say.
15
say, well, we look at whether the products of the merging
16
parties are first or second choice of the large share of
17
the customers, and what we wind up with are legit models,
18
and really instead of being differentiated by product
19
attributes or by promotional issues, products are
20
differentiated by their sales level.
21
differentiation that the analysis assumes because that is
22
really what we are looking at.
The guidelines
That is the form of
23
Of course, we are assuming identical cross
24
elasticities of all products with respect to a given
25
product, which given the assumption that some products
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are closer substitutes to each other than others, it
2
seems to at least raise some issues.
3
The more complex models, they impose great
4
cost.
They have an insatiable appetite for data.
There
5
are issues with using retail level data as a proxy for
6
wholesale competition.
7
Dave Scheffman and others have put together a
8
very detailed analysis of that, and it deals both with
9
implementation issues, what do you do when a price
10
increase takes place in mid-week, but the data you have
11
collects prices on a weekly basis, as well as conceptual
12
issues, that most wholesale prices now really are two
13
part tiered and relatively fixed and a variable element,
14
and obviously consumer prices are an one part tier.
15
The issue that I guess I will end with is
16
whether these models follow the guidelines.
17
source of anti-competitive unilateral effects that the
18
guidelines are talking about has to do with the spacial
19
separation of product, are we really obscuring that issue
20
by looking at models that are defining differentiation
21
effectively based on the levels of sales, are we also
22
shifting the burden of proof to the merging parties
23
implicitly by doing that.
24
25
If the
I was actually heartened to see that one of the
recent presentations Luke did showed sensitivity to the
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cost of doing these types of analyses.
2
anybody who is doing a merger now is kind of forced to do
3
that as a defensive measure because the economists are
4
going to come to you and say, well, this is what DOJ is
5
going to be doing, and we need to do this because
6
otherwise, we are going to be unprepared for their case.
7
It's another burden of merger enforcement on top of the
8
endless boxes of documents.
9
The fact is
My feeling is that the current models are going
10
to have problems in court, but at the same time, most
11
cases are decided in front of the agencies, and parties
12
will be foolhardy to ignore these models because they
13
have become part of that decision making process, and
14
what needs to be done, which is very difficult because we
15
don't have the investigative tools to look at consummated
16
mergers and see what happens and calibrate the
17
assumptions in these models to actual market results, is
18
to try to refine them and make them better.
19
MR. FROEB:
Thank you, Joe.
Valerie, just
20
because Joe raised this question, did you look at the
21
retail sector to see what kind of contracts they had with
22
publishers?
23
tiers?
24
25
Did they use mark up pricing or two part
MS. RABASSA:
In the Lagardere case, we had a
big problem to gauge that, because frankly, the sale of
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books to retailers and wholesale was the sale of books to
2
the final consumer.
3
right data.
4
problem of getting data.
We had many problems getting the
We can talk about this problem later, the
5
MR. FROEB:
Thank you.
Greg?
6
MR. WERDEN:
Before I get to my prepared
7
remarks, I want to respond to a couple of things Joe
8
said.
The first one was a serious misquotation of my
9
views.
He paraphrased the guidelines, which I will
10
actually quote to you, and then said I disagreed.
11
don't.
12
I
The sentence I will quote says "Substantial
13
unilateral price elevation in a market for differentiated
14
products requires it to be a significant share of sales
15
in the market accounted for by consumers who regard the
16
products of the merging firms as their first and second
17
choices."
18
I totally agree that is a very nice way of
19
putting the point, notice it said significant share, not
20
a large share,
21
share, and you don't need a large share.
22
wants to then translate this into saying there is some
23
global ranking of the products, one, two, three, four,
24
and the merging products have to be closest in this
25
global ranking.
I think Joe wants to switch it to large
That is wrong.
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The crucial thing to know is that typically in
2
differentiated products, different consumers rank the
3
product differently.
4
product and some people will buy another one.
5
That's why some people buy one
What the guidelines say, which I totally agree
6
with, is are you using a significant number that is
7
viewed as the first and second choices.
8
Secondly, he suggested that modeling, the kind
9
that economists do, merger simulation and other things,
10
is more likely to find mergers problematic than whatever
11
it is that lawyers do instead.
12
statement because that's just totally contrary to my
13
experience.
14
I find this a remarkable
One of the reasons Luke and I got into this 12
15
years ago was the lawyers had tremendously exaggerated
16
notions of likely anti-competitive effects of mergers,
17
and the only way we could think of to bring them down to
18
earth is with economic models, and it has worked.
19
In a lot of cases in which the models have
20
shown that it was implausible there would be significant
21
price effect.
22
enough, even with very small efficiencies, that the net
23
price effect would be positive.
24
didn't bring because of the modeling.
25
It was implausible they would be large
These are cases we
It's hard to say, because we did do the
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modeling, but when most of the modeling said there was no
2
significant effect, we didn't bring the case, in every
3
single one of those cases that I know of.
4
I think modeling has probably kept the agencies
5
from bringing some cases, although it might have caused
6
them to bring some other ones they should have brought,
7
and in both cases, that was for the better.
8
Starting with my prepared remarks, the concept
9
of merger simulation.
If the same well specified
10
oligopoly model reasonably describes the outcome of the
11
competitive process, both before and after the merger, a
12
lot of conditions, then that model can be used to
13
generate a quantitative prediction of the merger's
14
unilateral competitive effects after it is first
15
calibrated to match the prices, shares, et cetera, that
16
would prevail but for the merger.
17
All it says is if we run a model in our
18
standard tool kit that fits the industry, and we think it
19
is also going to fit the industry, except for the merger,
20
second assumption, and if it predicts what we care about,
21
like prices and maybe more, then we know how to use that
22
model.
23
and shares and elasticities or whatever we observe for
24
the industry, and to generate what the post-merger
25
equilibrium looks like, taking into account the
We know how to calibrate it to match the prices
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internalization of the competition between the merging
2
firms.
3
4
We can put numbers on what the guidelines talk
about in some cases.
5
From a plaintiff's perspective, and since I've
6
worked for the Department of Justice, that's the
7
perspective I usually take, I think that's very helpful
8
in several respects.
9
to tell the judge that there is a significant number of
10
customers who view the merging products as first and
11
second best alternatives, and it's quite another thing to
12
say the likely implication is they will raise price 10
13
percent.
In the first place, it's one thing
14
I think you are much more likely to win the
15
case if you can make the latter statement than if you
16
can't, and if you have something to back it up, of
17
course.
18
Plus, there is a way to put things in
19
perspective, like cost reductions.
20
off if you do a quantitative analysis.
21
otherwise.
22
You can trade them
You can't
That's really my second point here in the
23
slide.
There are certainly cases in which mergers may
24
have significant efficiencies or in which we think even
25
if we don't have specific evidence of efficiencies, it's
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very plausible the merger will have some efficiencies.
2
It's very easy to take those into account in merge
3
simulation and very easy in some cases to show that
4
plausibly the net effect is a price decrease, not a price
5
increase.
6
We don't bring those cases.
Merger simulation can be an useful way to focus
7
an investigation or try by identifying which factors or
8
assumptions really matter.
9
modeling exercise that one assumption gives you one
10
result, another assumption gives you a very different
11
result, then it becomes a very crucial fact which is
12
which of those assumptions is the right one or the better
13
one.
If you can show in the
That can be a very useful process.
14
You can also find some things really don't
15
matter much, so you shouldn't put your resources on
16
figuring those things out.
17
Limitations.
The fundamental limitation is no
18
economic model is going to capture every nuance of
19
competition in the real world, but you don't have to.
20
All you have to do is capture enough to be able to
21
usefully predict.
22
Second.
Price increase predictions can't be
23
any better than rough estimates.
There is a whole lot
24
going on that isn't in the model.
All kinds of things
25
are going to happen in the world that you can't possibly
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anticipate.
2
effect of the merger, but that's a whole lot better than
3
no idea of the likely effect of the merger.
4
You are only given some idea of the likely
Third.
Merger simulation is basically designed
5
to predict price effects, possibly other short term
6
effects of the merger.
7
long run evolution of the industry, but the good news is
8
Section 7 doesn't care that much about the long run
9
evolution of the industry, which in any event, we have no
10
tools in law or economics to really predict very well in
11
most cases, so what merger simulation gives us is
12
something that the law is looking for, or what it can
13
give us.
It's never going to predict the
14
The basic theme of my talk is that before you
15
use a merger simulation at trial, and for that matter,
16
before you use it for any other purpose for which you
17
give significant weight to the actual predictions, it
18
should have to pass an admissibility screen from the
19
rules of evidence.
20
Daubert, Joiner, Kumer Tire, and many antitrust cases of
21
less prominence.
22
Rule 702 interpreted by cases like
What I take away from Rule 702 and the case law
23
applying it as it applies to economic testimony in
24
antitrust cases is that testimony is admissible if the
25
witness is an expert in the relevant field of economics,
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if the testimony employs said methods from the relevant
2
field of economics, and if the testimony reliably applies
3
those methods to the facts of the case.
4
I'll elaborate these a little, mostly the
5
third.
I think the required expert knowledge is a fairly
6
low hurdle.
7
Heisenberg, a famous physicist, who defines an expert who
8
is someone who knows the worse mistakes that can be made
9
in his subject and who manages to avoid them.
10
kind of expertise we need in any area, including merger
11
simulation.
12
make, and you have to know better than to make those.
I like to quote a lot from Werner
That's the
There are some really bad mistakes you can
13
What merger simulation does is use absolutely
14
standard, well accepted tools from economics, so in that
15
sense, theoretical sense, merger simulation is the
16
application of sound methods necessarily.
17
There is also the empirical sense of soundness,
18
which can be very important, and as Luke mentioned in his
19
opening, we don't know very much about the predicted
20
accuracy of merger simulation.
21
very much about the predicted accuracy of anything else,
22
so in a relative evaluation, merger simulation certainly
23
doesn't do worse in predicting than anything else anybody
24
has ever come up with.
25
However, we don't know
I won't offer some of my favorite pieces of
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dicta from Supreme Court decisions here.
2
Daubert itself, which held that expert testimony is
3
admissible only if it is sufficiently tied to the facts
4
of the case and will aid the jury in resolving a factual
5
dispute, i.e., only if there is a good fit between the
6
testimony and the inquiry.
7
First, from
Daubert didn't come up with this fit concept.
8
It was borrowed from a Third Circuit decision.
9
it's a very good and precise way of describing what we
10
are looking for, and it's something that certainly
11
antitrust cases are looking for.
12
I think
The same theme expressed in a different and
13
also useful way in the Joiner case.
14
admit opinion evidence that is connected to the existing
15
data only by the ipse dixit of the expert.
16
conclude there is simply too great an analytic gap
17
between the data and the opinion proffered.
18
The court should not
A court may
In my view, it is not uncommon to have expert
19
economic testimony that is merely ipse dixit.
The
20
economist doesn't closely tie his theories to the facts
21
of the case, and I think Joiner is right on track saying
22
this is the kind of thing that courts should not allow.
23
As an example, a very well known one from an
24
antitrust case, the testimony of Robert Hall was excluded
25
in Concord Boat because his oligopoly model, the kind
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that you might use for simulation, although hardly
2
anybody does, was not grounded in the economic reality of
3
the industry.
4
perhaps, although I happen to read the case as saying
5
there were like six different ways in which it wasn't
6
grounded in the economic reality of the industry, so I
7
think all of the critiques were fit critiques.
8
This wasn't the only knock on the model
The court said there was nothing wrong with the
9
model as a matter of theory, it was a sound method, but
10
it wasn't the right method for that case.
11
exactly the kind of inquiry a court should do, and I
12
think in the case of Concord Boat, the court was exactly
13
right, it wasn't the right model for that case, and in
14
particular, at least the way the model was calibrated by
15
Hall, it predicted that the defendant would not have more
16
than a 50 percent share without engaging in the
17
challenged practices.
18
I think that's
The fact was the defendant had a 75 percent
19
share before engaging in the challenged practices, and I
20
would say that's got to be improper calibration.
21
only problem with the model the court pointed out, and
22
some of the other ones I think were important as well.
Not the
23
A less well known case but perhaps a more well
24
known economist, Frank Fisher's testimony was excluded in
25
the Booksellers case for purposes of at least determining
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damages, which was pretty important in that case, because
2
it contained too many assumptions and simplifications
3
that were not supported by real world evidence.
4
I will not comment on the merits of Fisher's
5
testimony or the court's analysis of it, because I don't
6
know enough about either one, but I will comment on the
7
language used by the court here in excluding the
8
testimony.
9
think about some economic evidence and if it is the right
10
way to think about that evidence, and the right
11
conclusion is that it should be excluded.
12
on too many assumptions and simplifications that are not
13
supported by real world evidence, then it doesn't fit the
14
facts and it isn't admissible evidence.
I think this is exactly the right way to
If it depends
15
What are the key elements of fitting the facts,
16
and I will emphasize these are key elements because this
17
has to be a case by case determination, depending on what
18
the facts are, what the model is, and what you are trying
19
to do with the model.
20
An oligopoly model used in simulation has to
21
reflect critical aspects of competition in the short term
22
at least.
23
aspects of competition.
24
have a basis for saying it reflects the critical ones.
25
That doesn't mean it has to reflect all
It's not going to.
You have to
Some fact based analysis by your experts has to
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lead to this conclusion, and he has to be prepared to
2
convince the trier of fact that he is right in thinking
3
about the industry and the model in this way.
4
The model also has to explain the recent past
5
at a fairly high level of generality, especially the
6
intensity of competition, as I like to think about it, as
7
reflected in price cost margins.
8
be explained by models, how the industry has responded to
9
shocks, the level of prices as compared to costs.
10
model should be able to explain these things, not
11
necessarily with exquisite precision.
12
why a model should explain day to day price movements.
13
We don't care about day to day price movements.
14
There is a lot that can
A
There is no reason
The ultimate test, another way of restating the
15
fifth requirement, is that every modeling choice should
16
be justified on some basis.
17
economic theory, for example, the assumption of profit
18
maximization, and needs no further justification.
19
is what economists do.
20
assume that, don't call an economist.
21
It could be dictated by
That
If you don't want somebody to
It can be supported by industry data, for
22
example, if the model is calibrated properly, that fits
23
the price and shares of industry, that kind of data I
24
have in mind.
25
ratios or demand elasticities.
Also, the data may speak to diversion
There are lots of
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different ways in which models could be supported or
2
refuted by data.
3
It should be consistent with stylized facts of
4
the industry.
5
important elements of competition?
6
How does competition work?
What are the
If you have a typical differentiated products
7
case and it involves a retail sector, how does the
8
manufacturing sector interact with the retail sector and
9
how does the retail sector behave?
10
These are the kinds of stylized facts that have
11
to be studied before you can properly model an industry,
12
and you should be prepared to explain how the facts
13
support the particular modeling choices.
14
Fourth, some modeling choices may turn out to
15
be unimportant.
16
different choice.
17
choices.
18
model doesn't really matter.
19
justification.
20
You may be able to try a particularly
There may be a major difference in
You may find out for that particular thing, the
That is a perfectly fine
Finally, particularly when you can't do any of
21
the above, it may be in addition to doing some of the
22
above, you can justify a choice by doing a sensitivity
23
analysis and showing that over the range of plausible
24
assumptions, you have picked one that if your plaintiff,
25
for example, leads to relatively small price increase
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projections.
2
There are some modeling choices in merger
3
simulation that you are not going to be able to justify,
4
and that's what you have to do.
5
A couple of illustrations.
This is, I think,
6
the easiest and best one of some kind of modeling choice
7
that you are never going to be able to justify based on
8
the facts of the data, and that is what is the assumed
9
functional form for the demand curve?
10
Here I have plotted between the competitive
11
prices over in the lower right and the monopoly prices in
12
the upper left, four demand curves that have been used in
13
merger simulation.
14
competitive price to the monopoly price, it involves a
15
vastly larger price increase for some demand curves than
16
others.
As you can easily see, going from the
17
Where you are going to see one of these or
18
perhaps some other functional form is when you do a
19
merger simulation, and it's going to affect in a very
20
substantial way the price increase predictions.
21
for the plaintiff, I would be using linear demand, which
22
produces small price increases, absent some strong
23
evidence I can't imagine ever having, that one of these
24
other functional forms fits better.
25
If I'm
A final illustration has to do with demand
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elasticities.
In differentiated products, merger
2
simulation is a way of translating the demand
3
elasticities into price increase predictions.
4
those predictions are sensitive to the demand
5
elasticities, and it should be obvious that we never know
6
exactly what those elasticities are.
Obviously,
7
Well, so you should consider what the price
8
increase predictions are for a range of elasticities.
9
Here is a very simple illustration of how that might work
10
for the WorldCom/Sprint merger, where a very strong
11
assumption about demand is made so that we can place
12
parameters on this model just based on two elasticities.
13
One is the aggregate elasticity demand for
14
residential long distance service, and the other is
15
WorldCom's firm level elasticity for its long distance
16
service.
17
considers a very wide range of plausible values.
18
The academic literature is estimated in
For each of these elasticities, this plot
19
elasticity demand for residential long distance of about
20
one, and this gives quite a wide range around one, from a
21
half to one and a half.
22
elasticity here is from 1.25 clear up to 4, which is a
23
huge range of elasticities.
24
truth lies somewhere in that interval.
25
The range for WorldCom demand
It's highly likely that the
What this plot shows is that for some
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combinations of parameters, a 4/10ths of a price increase
2
on up to 1.2 percent price increase for the average price
3
over the whole residential long distance, which of course
4
includes AT&T and all these other little guys which
5
collectively had, I think, around 70 percent a few years
6
ago, so WorldCom and Sprint were at least a relatively
7
small portion of the industry, significant, but
8
relatively small.
9
other residential long distance service companies that
10
are going to have vastly smaller price increases than the
11
merging firms.
12
So we are averaging out over these
That is why these numbers are so small.
If you down it to .4 percent, it may be very
13
easy for merger specific efficiencies to swamp that, and
14
for the net price increase to be negative.
15
percent, that's not really so likely, and that's probably
16
a price increase big enough that the agencies would worry
17
about it, and you might say very plausibly that WorldCom
18
and Sprint were closer substitutes than this model
19
assumes, if so, the price increases would be even bigger,
20
and the contrary is also correct.
21
22
MR. FROEB:
Thank you, Greg.
Up above one
Joe, do you want
equal time now or later?
23
MR. KATTAN:
I'll wait.
24
MR. FROEB:
Tad?
25
MR. LIPSKY:
Thanks, Luke.
It's a great honor
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to be on the same stage with such distinguished
2
practitioners of these various economic approaches to
3
antitrust, and I have to say in listening to the
4
unilateral effects theory, you would almost be grateful,
5
I suppose, that you have a merger before the Commission
6
and before the DOJ where the theory is going to be
7
innovation markets or potential competition where now
8
this is applicable and you can't do simulations because
9
you have no current output for both firms.
10
nice.
That might be
11
MR. WERDEN:
You need an option model.
12
MR. LIPSKY:
As I said before, I think we are
13
focused on the wrong ex-Frenchman.
14
study, and I've said elsewhere many times before, pretty
15
much what passes for antitrust economics right now was
16
all in the original core notebook back in 1838.
17
think unilateral effects were in there.
18
option of the theory of monopoly.
19
Bertrand was an IUV
I don't
Maybe it's an
I want to go at some specific issues that have
20
been alluded to but haven't been raised directly.
21
I can give a somewhat different focus.
22
Maybe
Who decides and how effective are those
23
economics in this process.
I'm going to back over the
24
first principles that I don't remember thinking about
25
since my first day in econometrics as an undergrad, and
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probably I should have been thinking about them a lot
2
more than I have, but I think it helps ground the
3
discussion and reveals my approach to some basic points
4
here.
5
First, there are facts, and some facts are
6
really facts, like how much and how long it takes to
7
build a factory.
8
mental constructs of mathematical models, oligopoly
9
models, what have you.
10
model for merger law.
11
There are models which are basically
I have here sort of the classical
If an industry is more concentrated, the output
12
will be lower and price higher than if it's less
13
concentrated, ceteris paribus.
14
statistical tests which are propositions that grow out of
15
the application of a specific econometric method used to
16
estimate the parameters of a specific model, and I have
17
no idea what I'm saying here.
18
based widget market doesn't exist except in my head, but
19
this is the kind of assertion you would find at the end
20
of the articles back in the 1960s and 1970s as to what
21
you actually needed to apply econometric methods to a
22
model in a particular industry.
Then there are
Obviously, the silicon-
23
I want to echo something I heard Joe say
24
earlier. Maybe I won't put the words in your mouth.
25
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makers and we are not all judges, we are essentially
2
lawyers.
3
have enough economics or econometrics to understand
4
really what is contained in an assertion like that, and
5
that's one of the problems I'm going to get to a little
6
later in the presentation.
7
There is a certain assumption that they don't
The value of a statistical test, the values of
8
the parameters and all those squares and all that neat
9
stuff that the economists roll around and try to persuade
10
you that what they have done is great or is viable at
11
least, let me give you a very concrete example based on
12
something we have heard today.
13
We had a description of a statistical outcome
14
for a model estimated in the context of the Booksellers
15
merger.
16
but I will tell you right now, if the combined market
17
shares of those two firms in the defined book market are
18
say in the 5, 10, or 15 percent range, I can guarantee
19
you I will find some problem with the econometric model
20
that was presented.
21
shares and you talk about entry and market conditions and
22
other sort of stylized facts about the way book
23
publishing works, I would be entirely prepared to accept
24
that those statistical results are valid, but the key
25
point is that the econometric exercise is useless if you
I happen not to know a thing about that merger,
If you get up to much higher market
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have a significant reason to doubt the validity of the
2
underlying model.
3
There is sort of the red letter error type
4
thing.
5
and you tell him what your model was and he comes back
6
half an hour later and says, oh, you screwed up, you
7
forgot to adjust for elasticity or you have too many
8
multiple linear variables or whatever it is.
9
That's where you give your data to Greg Werden
Even assuming that the econometrics is done
10
perfectly, it doesn't mean anything if you have a
11
significant doubt about the truth of the model.
12
I think this has had a fairly profound impact
13
in my professional lifetime in the area of merger
14
analysis, which is when I entered grad school, people I
15
think we're beginning to have doubts about this long
16
series of econometric studies showing a correlation
17
between concentration and prices or concentration and
18
profits, and looking back, I'm not sure which was the
19
more popular, based on your original structure conduct
20
performance paradigm.
21
Why is it that it was thought to apply
22
econometrics to these models 30 or 40 years ago, and now,
23
I think it would be fair to say that those types of
24
models have been fairly thoroughly discredited.
25
process that not only involves "better econometrics."
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I'm thinking particularly of Porter's 1972 Review of
2
Economic Statistics Paper, where he said, you can take
3
these regressions that are being used as evidence that
4
concentration and profits are positively correlated, and
5
notice that even though there is a claim for the validity
6
of that relationship, the statistical tests show that the
7
coefficients are small and the statistical confidence
8
intervals are rotten.
9
I've discovered one reason why that might be.
10
We divided the samples in two groups, one is sort of
11
convenience goods group, where it was sold in drug stores
12
and grocery stores, a small amount purchased at any given
13
time, very little consumer search behavior for the
14
characteristics of the product, often very subjective
15
characteristics of the product.
16
side.
You put that off to one
17
The particular model that had been applied
18
worked pretty well in that set of industries, but it
19
didn't work at all in a different set of industries,
20
which was things like cars or consumer durables, where
21
you do have significant consumer search behavior and a
22
lot of the other underlying variables represented by the
23
method of retailing which were thought to be important.
24
25
Time marches on.
It's not like you put it in
at one end of the lab and get it out at the other and
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have a high degree of confidence that it's right.
2
much more an art, as I think somebody else said.
3
It's
Economic model is critical to the entire
4
process of antitrust decision making because you have to
5
decide a specific case, and every litigant, as I put here
6
in the middle, every litigant tells a story, and every
7
story has a model.
8
which is very bad, and I agree with the earlier remarks
9
that the focus on the unilateral effects of the merger
10
simulation approaches sometimes gets you a long ways by
11
making the assumptions that the underlying model is
12
explicit, always a good thing to do.
13
Sometimes the model is unstated,
Then the way the economic model really comes to
14
the floor in indicia decision making -- it's one of the
15
interesting phenomena, I think, in recent antitrust
16
jurisprudence.
17
In Matsushita, for example, the narrow issue
18
decided by the Supreme Court was whether an expert report
19
about the possible existence of a predatory pricing
20
conspiracy could be admitted, with the majority saying
21
no, because it's crazy, essentially, and the minority led
22
by Justice White saying wait a minute, what is the
23
seventh amendment for?
24
What is this?
25
A jury trial?
Expert testimony?
Justice White wanted to pretend, for purposes
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of his very powerful decision and opinion in Matsushita,
2
that the validity of the expert's testimony was a fact.
3
I don't think that testimony was a fact.
4
something different.
5
about a model.
6
be applied to particular facts, but the fact that the
7
Matsushita majority said we are essentially entitled to
8
disregard what this expert says.
9
something of a turning point in anti-trust jurisprudence.
It was a model.
It was a story
It was a story about why a model should
State Oil vs. Khan.
10
It was
I think it was
There is a very explicit
11
example of saying reasoning about maximum vertical price
12
agreements was wrong and, therefore, the per se rule was
13
wrong.
14
Brooke Group is kind of interesting because the
15
oligopolistic disciplinary pricing model in Brooke Group,
16
the plaintiff's story was this is a big nasty oligopoly,
17
six firms.
18
like crazy, and the third largest firm decided to lower
19
the boom on the smallest firm, confident that the leaders
20
of the market, R.J. Reynolds with 38 percent of the
21
market, respectively, would stand by that Williamson
22
discipline licit, later owned by Brooke Group, and the
23
court, maybe because they were represented by Phil
24
Areeda, but the court said that could fly, it could be an
25
oligopolistic disciplinary pricing theory under the
The smallest firm really started to discount
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Robinson-Patman Act, and sometimes I wonder and at the
2
same time feel thankful for the fact that there aren't a
3
lot more cases.
4
an oligopolistic disciplinary pricing theory that is
5
being tried out in this Tyson's case, but it's amazing
6
that nobody else has tried such a theory.
7
Maybe the Packers and Stockyard Act has
The Supreme Court says you must be covered
8
under the Robinson-Patman Act.
9
case was that doesn't apply here.
10
on my list and use it for this point, Brooke Group was
11
essentially the rejection of an expert report.
12
who said, I observed the factual pre-conditions for and
13
the theoretical apparatus for appreciating this
14
oligopolistic disciplinary pricing theory in this case,
15
and the court said no, that's crazy.
16
with the facts, not a crazy theory, inconsistent with the
17
facts.
18
What they said in that
This is why I put it
An expert
It's inconsistent
A particular fact that the court was dealing
19
with was that the main underpinning for the oligopolistic
20
disciplinary pricing theory was that the cigarette
21
industry was an oligopoly, with high prices, high
22
profits, sticky prices, sticky shares, all those things
23
we associate with oligopoly.
24
25
Well, it just so happens that I was senior
executive for the plaintiff that testified it wasn't an
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oligopoly, prices weren't sticky, that profits weren't
2
abnormal, and I think the court had a hard time
3
swallowing the expert relying on a theory which was
4
essentially contradicted by the leaders of the plaintiff.
5
We have this weird situation where the judges
6
are deciding economic issues.
7
They are rejecting expert testimony.
8
Quartet, the four cases that really form the Daubert
9
line, are in a sense an extension and may have even been
10
suggested by Matsushita and Brooke Group, chronologically
11
it works out, I suppose we will never know.
12
30 years from now when the papers are disclosed we will
13
find out, but judges are getting more and more
14
uncomfortable with economic theorizing.
15
They are rejecting models.
I think the Daubert
Maybe 25 or
The problem that we have is, as has been
16
previously said in the panel, the lawyers control this
17
process.
18
the ones who are appointed by the politicians to hold the
19
positions at the agencies.
20
over the place.
21
The lawyers present the case.
The lawyers are
There are just lawyers all
Whatever economic content has been suffused
22
into anti-trust, I think there is a great deal of it, it
23
has to come through the lawyers and judges.
24
existing institution that filters out the quality of
25
economic testimony and compares the relative
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persuasiveness of different economic views of these
2
particular cases that is really designed in a way you
3
would want an institution designed, to get to the truth
4
of the matter.
5
We have an advocacy process run by lawyers.
6
don't have time to sit around for the process to work.
7
You have some guy who is bringing cases based on the
8
notion that concentrations and profits are strongly
9
correlated, we don't have time to sit around and discover
10
that is wrong.
11
You have a failure in the antitrust realm.
12
It's not like the Challenger disaster, where the market
13
blows up and everybody says whoa, something really went
14
wrong.
15
There are antitrust disasters.
I think the United Machinery case is an
16
antitrust disaster.
17
case founded, I think, are illegitimate theories of
18
violation, suing remedy.
19
but it took about 10 to 20 years to happen.
20
debate as to whether the machinery industry was really
21
one that was destined to remain in American business
22
anyway, given all the things happening in the world.
23
We
That company driven out of business,
United Machinery was destroyed,
You can
I have summarized Matsushita and Brooke Group.
24
I mentioned the Daubert Quartet.
I also want to focus
25
you on the sources -- judges articulate their
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dissatisfaction with the process by which economic
2
expertise is applied during antitrust cases.
3
in other cases, too.
4
They do it
Justice Breyer I don't think has ever mentioned
5
antitrust in his talking about this issue.
6
he gave a talk at AEI recently on this same thing, and
7
might have mentioned antitrust.
8
toxic torts and that kind of scientific evidence.
9
I understand
His focus is more on
He has basically proposed in a speech to the
10
AEA a few years ago, we really need to weed out the
11
cranks.
12
professional body weed out the people who know what they
13
are talking about and the people who don't.
We need to have the AEA or some responsible
14
I'm not so sure that's a great solution for
15
antitrust.
16
Association having a qualifications panel for antitrust
17
economists.
18
I can't imagine the American Economics
Judge Posner, in HFCS, a very intricate
19
exploration of the economic elements of that case that
20
were relevant to the judgment of whether there is
21
adequate evidence of conspiracy.
22
the district judge and said, look, when this goes back
23
down to explore this issue.
24
summary judgment in favor of the defendants, it would be
25
a really good idea to use Rule 706 of the Federal Rules
He pretty much beat on
Now that I have reversed the
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of Evidence and appoint some experts so you can figure
2
this out at least as well and maybe better than I did.
3
If you haven't read Posner's decisions in Asahi
4
Glass vs. Pentech, and there is sort of a cluster of
5
cases that are related, you really need to read these
6
decisions.
7
Richard Posner, sitting as a district judge,
8
can you imagine, and going through unbelievably complex
9
cases involving a patent settlement and is that illegal,
10
there's some infringement issues along with other stuff,
11
you can learn about disappearing polymorphs and other
12
chemical curiosities.
It's just wonderful.
13
The reason it is inserted in my remarks here is
14
that Posner makes some rather pointed remarks about some
15
theories that are now popular in the analysis of pioneer
16
generic patent litigation settlements.
17
itching to see lower courts be more rigorous and more
18
explicit about how they confront economic modeling.
19
He is obviously
Just to treat unilateral effects as essentially
20
a case study of what I've been talking about, the
21
fundamental inside unilateral effects is really a
22
no-brainer. Sure, A's customers could go to B.
23
merger, they won't be able to go to B.
24
do they have to climb to get out of a hole.
25
going to impose any kind of long run pricing and
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How high a crater
Is that
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imposition on consumers?
2
performance?
Is that going to decrease
3
We have already heard a lot this morning and
4
I'm not going into the fact that the analyses by which
5
you can get at these phenomena quantitatively require a
6
whole bunch of assumptions.
7
I conclude with the issue of kind of baseline
8
credibility.
9
world in which the decision makers do not have the
10
expertise to decide whether a model or econometric study
11
offered is worth a darn, what is the point at which we
12
are going to allow econometric testimony to influence the
13
decisions in antitrust cases?
14
If we are going to continue to live in a
I think it's a problem.
Let me suggest, and
15
here I want to run straight at an issue that Joe raised,
16
which is it's the lawyers who decide, to me, the lawyers
17
shouldn't decide.
18
review everything that goes into an antitrust case, sort
19
of certify for the judge, not that the expert is a good
20
expert, but that he thinks the analysis is pretty
21
plausible, hasn't found any particular issue with it.
22
It's not easy to imagine institutions that
Maybe independent economists should
23
would effectively accomplish what I'm trying to drive at,
24
but think about that issue.
25
actually decide?
Should the economist
Should the judges, should the lawyers
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be bound by what the economists say?
2
David Scheffman, who has written and I think as
3
others have mentioned this morning, the judgment on these
4
economic issues is done simultaneously, you can't
5
separate them out.
6
Nabisco Brands case that was decided, where New York
7
challenged a merger that both Federal agencies had passed
8
on and found that Hippocrates was not fringed.
Read Fred Kahn's testimony in the
9
This is from the first sentence of the
10
Aphorisms, his little sayings about good medical
11
practice.
12
Do no harm.
13
Aphorisms.
14
Bill Baxter was a great fan of Hippocrates.
That wasn't the first sentence of the
The first sentence is "Life is short, and Art
15
long, the crisis fleeting, experience perilous, and
16
decision difficult."
17
That applies here, too.
These are some criticisms I have of typical
18
enforcement agency modeling.
Market definitions tend to
19
be narrow.
20
There tends to be, I think, heavy discounting of dynamic
21
effects, and it's wrong for obvious reasons.
22
necessarily does it consciously, but it tends to
23
encourage the bringing of enforcement actions where
24
otherwise somebody a little more relaxed on those
25
assumptions would not have any concern.
They tend to focus on isolated time periods.
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Also, there is a tendency to go to extremes.
2
We will often hear arguments in the front office that
3
make it sound as if the parties have been unable to agree
4
on anything in terms of the assumptions that are going
5
into their arguments, their story.
6
I've mentioned some of these alternatives,
7
reliance on neutral experts, Rule 706.
Do we need to
8
have a category of economists who work for the agencies
9
but don't really have a role in cases, or maybe they
10
should be outside consultants, people who theoretically
11
won't have any percentage in the outcome because they are
12
not going to be involved in either the prosecution or
13
defense of the case.
14
idea.
15
I think we should think about.
I don't think that's such a great
I just raise it because this is the kind of thing
16
Can we get more peer review, maybe can we get
17
more industrial organization professors to look at these
18
things?
19
I think a lot of them do.
Finally, my last desperate gambit, maybe a
20
Federal judicial center should be given a pot of money to
21
study all this stuff.
22
Just to remind you of why they liked the per se
23
theory, United States vs. Topco. I loved that footnote
24
that says if we were to consider the economic
25
justifications for this joint venture, it would send us
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into the wilds of economic theory, so welcome to the
2
wilds.
3
MR. FROEB:
Thank you, Tad.
Greg?
While we
4
are waiting for Greg, I want to ask Greg Werden a
5
question.
6
simulation, it's a seldom useful exercise, too costly,
7
too time consuming, and it's persuasive only when we are
8
using it to justify something we already know, like from
9
the totality of the facts, we know that the merger is not
10
going to raise price, here's an economic model that says
11
that.
Both Tad and Joe raised questions about merger
12
Do you have any reaction to that?
13
frequently it is used, how frequently it influences
14
decision making at the DOJ?
15
MR. WERDEN:
How
In the first place, I don't think
16
either of them were as negative on merger simulations as
17
you suggested they were, particularly not Tad.
18
MR. LIPSKY:
It's helpful to clarify.
I would
19
agree the outcome is seldom very persuasive.
20
determine the outcome and often is really not
21
sufficiently persuasive to have a major influence on the
22
judgment.
23
MR. WERDEN:
It doesn't
I think there are two kinds of
24
major influences.
One, at a very early stage, there
25
certainly have been cases where merger simulation helped
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decide not to proceed with an investigation.
2
and dirty merger simulation, confirming what some people
3
already suspect, it's pretty easy for this merger to not
4
raise price much, to lower price, next case.
5
Very quick
Also, there are a number of cases in which I
6
think sophisticated analysis was given a lot of weight in
7
the agency decision about challenging or not challenging
8
a merger.
9
MR. FROEB:
10
MR. LEONARD:
Greg, go ahead.
Thanks.
Luke, Greg and I were
11
part of a group of economists who got the ball rolling
12
with merger simulation 10 or 12 or 14 years ago, whatever
13
it was.
It quickly became pretty popular and it happened
14
quickly.
I think what happens when you have something
15
that gains popularity very quickly is that a backlash
16
occurs subsequently, and I think that has happened a
17
little bit.
18
problems.
19
We have been talking about some of the
I thought what I would do today is try to
20
address some of the questions that have been raised about
21
merger simulation.
22
Let me just start by saying, and this has been
23
mentioned so I'm going to go fast, basically, you have
24
the fact based inquiry, which are reviewing the
25
documents, reviewing the depositions, interviewing
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customers, so forth and so on.
2
simulation.
3
Then you have merger
They shouldn't be substitutes for each other.
4
They really should be complements.
5
something to the party.
6
They both add
Merger simulation has two pieces to it.
The
7
first is what I'd call guesstimating consumer demand
8
functions.
9
do that possibly by looking at documents, if the correct
10
ones are out there.
11
You can do that with econometrics.
You can
The second case is the model of firm behavior
12
you are going to use.
13
oligopoly models.
14
People have been talking about
That's what I mean there.
The two pieces together are what constitute
15
merger simulation.
16
mean to include both pieces.
17
When I talk about it, I'm going to
Let me first say what does merger simulation
18
add where you have the documents.
19
like it.
20
What does merger simulation add?
21
argue is it helps move merger analysis closer to what I
22
would call science.
23
Attorneys certainly
With economists, I would say they have value.
I guess what I would
What do I mean by "science?"
The most important thing is that the analysis
24
is based on a set of theories or a theory that is
25
testable.
That's really the essence of what science is
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about.
We come up with theories.
2
pass the test, we accept them.
3
them.
4
with a better theory.
5
is all about.
We test them.
If they
We keep trying to test
Eventually, they may be rejected, and we come up
That's what the scientific method
6
Second, and what has been mentioned earlier
7
today, the underlying assumptions of the analysis are
8
very clearly delineated.
9
of the analysis can be replicated by somebody else.
The third thing is the results
10
Finally, scientific analysis typically will
11
allow you to calculate the precision of your results.
12
think Tad mentioned that it is conditional on the
13
assumptions, and that is certainly true.
14
I
Why should merger simulation aspire to be a
15
science?
I guess the first thing I think as probably the
16
most important is it gets closer to objectivity and
17
further from subjectivity.
18
really about.
That is again what science is
19
Secondly, it provides some certainty.
20
know what the rules of the game are, and that's the whole
21
purpose for the merger guidelines, I think, to lay out
22
some rules and to say here is how the game is going to be
23
played, and then gives people an idea about how the
24
analysis will go and allows them just to know how things
25
are going to fly.
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Next is the sources of disagreement between the
2
parties, I think, are a lot more easily identified when
3
you have some scientific approaches on each side, a
4
larger definition, arguments that are based on documents.
5
There is a lot of subjectivity.
There is a lot of hidden
6
assumptions, a lot of judgment.
If you can instead
7
replace that with an analysis of elasticities, then you
8
are talking about hard numbers.
9
about how you get those elasticities.
10
elasticities, I think, is better than arguing about some
11
vague ideas that come out of documents.
12
There may be issues
Arguing about the
This is what I said before.
What we are going
13
to get is bad methods are going to be replaced by good
14
methods, and good methods are going to be replaced by
15
better methods.
16
process.
17
That is the essence of the scientific
Obviously, if you come out with a result that
18
is very uncertain, you are going to put a lot less weight
19
on it.
20
In large, merger simulation is in fact a
21
science or a scientific analysis.
It's based certainly
22
on well established economic theory.
23
of consumer demand that drives the demand equations.
24
have the econometric theory that is behind the estimation
25
procedures used to get at the demand elasticities.
We have the theory
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have the oligopoly theory, which as someone was pointing
2
out, is based on infringement from many, many years ago.
3
It has been around for a long time.
4
We tend to lay out the assumptions, the
5
underlying assumptions, very clearly, and this is a very
6
important point.
7
tested.
8
is very important.
It says assumptions can often be
I think that is another aspect of all this that
9
For instance, the demand model you choose can
10
be tested.
11
an AIDS model perhaps, under the right conditions.
12
We can distinguish between a logit model and
I can give another economist the data and I can
13
say here's what I did, and that person could hopefully
14
get the same results, replication.
15
There are going to be choices along the way and
16
we may disagree about those, but at least we know what
17
those choices are, and they are fully described.
18
Finally, you can get a standard error for a
19
predicted price change.
20
assumed demand models and assumed oligopoly models, but
21
hopefully again those have been subject to some testing
22
along the way.
23
Again, it is conditional on the
The so-called document approach, it is not
24
really a science, at least in the same sense.
25
all, usually not incredibly well linked to economic
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theory.
Lawyers have models in their minds.
2
think that's true, but they are not very well
3
articulated, and so the assumptions themselves aren't
4
laid out very well.
5
A lot of times, they don't even know what the assumptions
6
are.
7
I don't
The assumptions often aren't tested.
I think if you think about what is in these
8
documents, that really is one of the problems.
9
at these documents and we assume that the authors of them
10
are discussing things or analyzing things in the way that
11
is actually meaningful for the merger analysis we are
12
trying to perform.
13
always the case.
14
We look
I don't think that is necessarily
If you look at the Staples case, there was a
15
certain set of analyses done.
16
entirely different purpose.
17
necessary.
18
agreed with that and went forward and did an additional
19
analysis.
20
They were done for an
I think further analysis was
I think even the economists on the FTC side
Similarly, customer reviews are used a lot.
I
21
think there are some serious problems by sampling.
The
22
customers that care are the ones who come forward.
They
23
may also tend to be the marginal ones.
24
of that.
25
What do we make
Another problem with the documents is the
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results can't be replicated, at least in the same way
2
that a merger simulation can be, because you are going to
3
have two different people look at the documents and
4
review them and come up with very different conclusions.
5
Finally, in terms of some questions that have
6
been raised about merger simulation.
7
technique?
8
true of almost any scientific inquiry.
9
complete.
10
Is it a perfected
The answer to that is clearly no.
It's never final.
That is
It's never
Things are always refined.
It doesn't need to be finalized to be useful.
11
Whatever the current state is, it can be useful in
12
certain ways, even though it may be improved upon later.
13
I think it's a theory of evolution.
14
In Darwin's original formulation, he thought
15
that evolution occurred gradually over time.
16
looked at the fossil record, you would find one organism
17
that clearly evolved from an earlier one, but they were
18
very different, and it was talked about as being gaps in
19
the fossil record, we were missing the fossils for the
20
organisms in between.
21
When they
The punctuated equilibrium theory was developed
22
and basically what it said was wait a minute, evolution
23
isn't gradual.
24
no change for long periods of time in between.
25
explains the facts better, and it is perhaps a better
It happens in short bursts and there is
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theory than the original one.
If you go back to the 1930s and 1940s, it
3
doesn't mean Darwin's formulation was useless.
4
it formed a lot of scientific thought.
5
In fact,
The second question that comes up is does
6
merger simulation provide an answer.
No, it doesn't.
7
That's one of the consequences of the fact that in this
8
science, we have to go out and test the assumptions, and
9
we might find the assumptions aren't valid.
10
merger simulation is not going to be -- at least in that
11
format, is not going to work.
Then the
12
It would be impossible to capture all the
13
economic processes in a model that is going to work,
14
given we are not going to be able to do this merger
15
simulation in that case.
16
If you contrast that to the documents approach
17
where you can't always get an answer, you can get any
18
answer you want within the bounds of reason.
19
often get two answers, one for the defendant and one for
20
the plaintiff.
You can
21
I would argue that because it's a science, you
22
are not always going to get an answer, and that's a fact
23
of life, I think.
24
25
Does merger simulation involve choices?
it clearly does.
The good thing is the choices are
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clearly articulated, and you can get down to brass tacks
2
and have the experts on each side argue about what the
3
right choice is.
4
testing.
5
the arguments.
Often, the choices are subject to
Again, very important.
That's a way to resolve
6
If you contrast that to the documents approach
7
where the assumptions are often not expressly stated and
8
often can't be tested or certainly aren't tested, I think
9
there the choices are so hidden.
10
different.
11
among experts about what choices to make.
It doesn't
12
make merger simulation any less a science.
Scientific
13
disputes have existed forever.
14
them.
15
That makes it very
And the fact that there might be disputes
There are ways to reserve
Is merger simulation the only co-scientific
16
merger analysis, and I would say no to that.
17
there are other kinds of analyses that are co-scientific
18
that are helpful.
19
industry when one firm's plant blows up and isn't able to
20
supply the market any more, and see where customers turn
21
to and what other firms do in terms of prices.
22
Certainly,
We can look at what happens in the
You can also look at what happens when there is
23
a new product introduction.
There are obviously
24
complexities about these types of analyses as well, and
25
choices and everything else.
In certain cases, they are
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going to be more appropriate.
FTC vs. Staples is an example of that, where
3
the analyses were done based on looking at markets where
4
there were a different number of competitors or where the
5
number of competitors changed.
6
Should the merger simulation approach replace
7
the documents approach?
8
absolutely not.
9
documents and it is going to give you very useful
10
qualitative information that allows you to fit the model
11
better and give you institutional details, and perhaps
12
even allow you to do some testing of the model, as I
13
said, is very important.
14
As I said at the outset,
A lot of times, you can look at the
What I am going to turn to is some of the
15
problems that I think merger simulation faces.
The first
16
is it may not appeal to attorneys.
17
little bit about that earlier.
18
really does require a fairly high level of economic
19
expertise, and I think attorneys, it may seem like a
20
black box to them.
We have heard a
The first thing is it
They not feel as comfortable with it.
21
Secondly, I think when you end up in a battle
22
of experts like this for each side, talking about very
23
sophisticated choices, as we were talking about before,
24
you just end up in a situation where no one understands
25
what the heck they are talking about, and the two experts
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basically cancel each other out and the fact finder
2
doesn't pay any attention to it.
3
I think there is some of that.
What Tim was
4
talking about before, perhaps having an outside expert to
5
resolve some of those things would be helpful in that
6
regard.
7
There are some that feel merger simulation is
8
too new to be attempted in a courtroom.
9
true that law tends to move more slowly than science.
10
an example, I was thinking about intellectual property
11
damages cases.
12
I think it is
What happened is you basically had to show
13
there were no acceptable non-infringing substitutes to
14
get any lost profits at all.
15
reasonable royalty side of things.
16
don't get any damages, but you don't get any lost
17
profits.
18
As
Of course, there is this
It doesn't mean you
In terms of the share based approach, it kind
19
of made things better, but again, it is based on
20
assumptions that an economist would question, I think, or
21
would want to test at least.
22
I think simulation would really help in these
23
kinds of cases and hopefully will be used sometime soon.
24
25
Greg already talked about this stuff, so I'm
going to skip that.
I just want to say one thing about
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the usefulness of comparing predictions from merger
2
simulations to actual outcomes.
3
standard scientific practice to do that.
It is absolutely a
4
I have this paper with Jerry Hausman where we
5
try to do that a little bit, I think with mixed results,
6
but fairly positively.
7
Since every industry is really very different,
8
I'm not sure how much it would help to say in these five
9
industries, we have validated the merger simulation
10
approach.
11
us when we were applying it to the sixth one.
It's not clear to me how much that would help
12
Finally, I guess I'll just finish by saying as
13
I said before, this is a development process, as is all
14
science, and there are clearly areas where merger
15
simulation can be improved.
16
list is the old Darwin model.
17
beating today.
18
generally, it would be great to come up with a better
19
oligopoly model.
20
of merger simulation lies.
21
Thanks.
22
23
I think number one on the
Bertrand has taken a
It's absolutely true, just in economics
I think that is really where the future
QUESTION AND ANSWER SESSION
MR. FROEB:
Thank you, Greg.
I know we are
24
heavily weighted towards economists on this panel.
25
want to give the attorneys some time to rebut or say
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whatever you want.
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MR. KATTAN:
I actually find myself in
3
agreement with most of the things that the economists
4
have said.
5
method.
6
are out there.
7
articulated, and we can beat up on them by saying, well,
8
I have a problem with that assumption or this assumption.
9
The models that are explicitly by lawyers are a
Certainly when they critique the legal
I think they have a valid point.
Their models
Their assumptions are clearly
10
lot more difficult to discern.
There is certainly a
11
difference in the level of opacity, and therefore, in the
12
susceptibility of the model to questioning, and the deck
13
is stacked institutionally in favor of the lawyers,
14
largely because they control the process.
15
To me, the issue is what do I do when I have a
16
set of choices, each of which is going to predict a price
17
increase no matter what, and I'm told basically take your
18
choice, which poison do you want.
19
I would ask Greg Leonard, how do you sell to a
20
client the idea that they really have to do this, you
21
know, however many thousands of dollars it is going to
22
cost them to pay you, to come with a model that will
23
predict the price increase, next to which you will have
24
yes, but if you count for efficiencies, you account for
25
this, you account for that, that price increase will be
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obviated or it's such a small price increase, that it
2
really shouldn't matter.
3
MR. LEONARD:
I think you have to go into it
4
realizing that the model is going to predict a price
5
increase, unless those costs and elasticities are zero,
6
which is unlikely in a lot of these cases.
7
one percent or two percent, it is just not enough to
8
worry about, especially because there are probably
9
offsetting effects.
10
that is going to wipe it out.
11
MR. KATTAN:
If you get
If they are even small efficiencies,
There is this language in the
12
merger guidelines, which I can't recite as well as I
13
should be able to, due to the fact that the five percent
14
test is not a tolerance level for price increases, and we
15
have certainly seen cases where the predicted price
16
increase was very, very small, and a challenge in fact
17
took place.
18
I don't take comfort in the prediction of an
19
one percent price increase and the argument that well,
20
you wouldn't need a lot of efficiencies to obviate.
21
worry about my ability in most cases to show any kind of
22
efficiency that is going to bring prices down.
23
show significant efficiencies that are driving the deal,
24
but as I said before, they are usually going to be more
25
in the overhead category.
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MR. LEONARD:
If you go back to the guidelines
2
and say well, that's sort of how we should do things.
If
3
you follow the guidelines strictly, next best substitute
4
or second, if it turns out it's the third one, you can
5
still have a price increase there, too.
6
economics of it and I don't know how you get around that.
7
I don't think following the guidelines versus merger
8
simulation saves you from that.
9
assumption in there, that we don't care about it if it's
10
the third on the list.
This is just the
Again, you are making an
I don't know if that's right.
11
MR. FROEB:
Tad?
12
MR. LIPSKY:
I think part of the problem -- I
13
think there are some respectable roles for simulation,
14
making explicit the hidden assumptions is a good one.
15
feel that a lot of these analyses, what triggered the
16
thought was the mention of the five percent.
17
the 1982 guidelines were written, one of the principal
18
reservations about using the five percent SSNIP test was
19
that it would suggest an unsustainable degree of
20
precision.
I
Back when
21
You know, this is going to become a standard
22
and the lawyers are going to seize on this, it's a very
23
specific number used in a very specific way, and sure
24
enough, that's exactly what happened, to the point that
25
you may recall that the major feature -- there was
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actually an 1984 set of guidelines issued by Paul
2
McGrath -- one of the major features of the 1984
3
guidelines was this big introductory statement that said,
4
now, wait a minute, you totally have the wrong idea on
5
this five percent test.
6
some markets could be 1.5.
7
the right question and the magnitudes we have no idea
8
about.
9
Some markets could be seven and
This is just meant to suggest
Similarly, I think, in the simulation area, if
10
you can be confident about the sign of the first
11
derivative for any of the major variables, whether it is
12
price, output or whatever, someone is going to triumph
13
from the fact that you can establish it from any modeling
14
device at all, that would be real progress.
15
I really liked the analogy to the dispute over
16
evolution.
17
equilibrium was popularized as a theory, there are some
18
modeling gradulists who describe punctuated equilibrium
19
in a manner intended to be pejorative as evolution by
20
jerks.
21
respond by calling the gradulists evolution by creeps,
22
which suggests something of the flavor of the debate over
23
unilateral effects theory in antitrust law.
24
25
We know that even after punctuated
Of course, there are punctuated equilibrium guys
The question I want to pose is this, and let me
say it very bluntly.
My view is that most of the
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shortcomings in the way that economics is applied to
2
antitrust decision making, it's not economics isn't
3
perfect, everybody knows all the stuff we have been
4
saying about you d
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