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`IN THE UNITED STATES DISTRICT COURT
`FOR THE DISTRICT OF COLORADO
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`Civil Action No. 21-cr-00229-RBJ
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`UNITED STATES OF AMERICA,
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` Plaintiff,
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`vs.
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`1. DAVITA INC., and
`2. KENT THIRY,
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` Defendants.
`_______________________________________________________________
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`
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`REPORTER'S TRANSCRIPT
`TRIAL TO JURY - DAY SIX
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`_______________________________________________________________
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`Proceedings before the HONORABLE R. BROOKE JACKSON,
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`Senior Judge, United States District Court for the District of
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`Colorado, continuing at 8:32 a.m., on the 11th day of April,
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`2022, in Courtroom A902, United States Courthouse, Denver,
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`Colorado.
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`THERESE LINDBLOM, Official Reporter
`901 19th Street, Denver, Colorado 80294
`Proceedings Reported by Mechanical Stenography
`Transcription Produced via Computer
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`Case 1:21-cr-00229-RBJ Document 291 Filed 06/16/22 USDC Colorado Page 2 of 288
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`A P P E A R A N C E S
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`MEGAN S. LEWIS, WILLIAM JEFFERSON VIGEN, SARA MICHELLE
`CLINGAN and ANTHONY WILLIAM MARIANO, Attorneys at Law, U.S.
`Department of Justice, Antitrust Division, Washington Criminal
`II Section, 450 5th Street N.W., Washington, DC, 20530,
`appearing for the Government.
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`JOHN C. DODDS, Attorney at Law, Morgan Lewis & Bockius
`LLP, 1701 Market Street, Philadelphia, Pennsylvania, 19103,
`appearing for Defendant DaVita.
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`JOHN CLAYTON EVERETT, JR., Attorney at Law, Morgan
`Lewis & Bockius LLP, 1111 Pennsylvania Avenue NW, Washington,
`DC, 20004, appearing for Defendant DaVita.
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`JOHN F. WALSH, III, Attorney at Law, WilmerHale LLP,
`1225 17th Street, Suite 2600, Denver, Colorado, 80220,
`appearing for Defendant DaVita.
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`THOMAS MELSHEIMER, Attorney at Law, Winston & Strawn
`LLP, 2121 North Pearl Street, 9th Floor, Dallas, Texas, 75201,
`appearing for Defendant Thiry.
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`JUANITA ROSE BROOKS, Attorney at Law, Fish &
`Richardson, 12860 El Camino Real, Suite 400, San Diego,
`California, 92130, appearing for Defendant Thiry.
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`* * * * *
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`P R O C E E D I N G S
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`(In open court at 8:32 a.m.)
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`THE COURT: Good morning. How do you wish to proceed?
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`MR. VIGEN: Your Honor, we talked to defense counsel,
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`and we believe it makes sense to go right to cross-examination
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`of the expert as part of the Daubert hearing.
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`THE COURT: All right.
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`Good morning.
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`MR. VIGEN: Before I begin, I just for the record,
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`want to give a thanks to Terri Lindblom for her great work last
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`week and working over the weekend to get us some transcripts.
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`We appreciate that, Terri.
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`(PIERRE CREMIEUX, DEFENDANTS' WITNESS, SWORN)
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`CROSS-EXAMINATION
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`BY MR. VIGEN:
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`Q. Good morning, Dr. Cremieux.
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`A. Good morning.
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`Q. My name is William Vigen. I'd like to discuss today your
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`opinions that you filed in your expert report in this matter in
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`Sections 5 and 6. And just briefly, that's where you compared
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`DaVita turnover and compensation data against turnover and
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`compensation data from industry benchmarks that you selected.
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`Is that generally accurate?
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`A. Yes. I compared the movement in the turnover and
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`compensation for DaVita with the movement in compensation -- in
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`turnover and compensation for a benchmark, which was the
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`healthcare industry.
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`Q. Okay. And that type of analysis -- sorry. That type of
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`analysis is called a difference-in-difference approach by
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`economists; correct?
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`A. That's right.
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`Q. Okay. For a valid difference-in-difference analysis, it's
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`important that you're comparing apples to apples; would you
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`agree with me on that?
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`A. It's not a technical term; but generally speaking, I
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`understand the spirit.
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`Q. Yeah. So the one apple is the DaVita data, and the other
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`apple is supposed to be your benchmark data. Is that right?
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`A. Not quite. One apple, if you will, is the change in DaVita
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`compensation; and the other one is the change in the benchmark.
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`Q. And if you're not comparing apples to apples, essentially,
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`you haven't done a valid analysis; would you agree with that?
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`A. Again, it's very vague. Apples to apples, I don't know
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`what that means. But generally speaking, if you didn't do it
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`right, then it's wrong.
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`Q. Okay. So let's talk about how you're supposed to do it
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`right. The assumption is, if you're comparing or using an
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`appropriate benchmark -- what I'm referring to is apples to
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`apples, but an appropriate benchmark -- that the various
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`economic factors and variables that could affect the turnover
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`and compensation data are essentially impacting the DaVita data
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`and the benchmark data you selected in relatively similar ways
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`overall. Is that the idea?
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`A. That's fair. Yeah.
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`Q. Okay. So one variable that could impact turnover or
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`compensation is how fast the economy was growing; right?
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`A. Yes. That's a good example.
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`Q. Another variable could be overall inflation; would you
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`agree?
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`A. Yes. That's right, too.
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`Q. One other could be wage growth?
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`A. Could be, sorry?
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`Q. Wage growth.
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`A. I don't think that's quite right. It depends on which wage
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`growth you're looking at. Right? If you're looking at
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`compensation, for example, which I am, then since what I'm
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`looking at is whether there is a difference between the two in
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`the rate at which they grow, that's actually the variable I'll
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`be interested in, as opposed to one that I would control for,
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`for example.
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`Q. Okay. So another variable could be job satisfaction?
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`A. Okay. So now we have to -- you mean specifically in this
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`application; right?
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`Q. Yes, sir.
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`A. No. I don't think that's right either, because I'm not
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`trying to make a statement about the general economy on one
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`hand and DaVita on the other. The statement I'm making is
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`different from that, and it's important for that point. The
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`statement I'm making is that, as I look at the change in the
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`rate of growth or shrinkage of compensation or turnover, I want
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`to make sure that I anchor it to something so that what I'm
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`looking at is real, if you will. And what I'm anchoring it is
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`the change at the benchmark. And so if turnover is higher,
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`say, at -- or if -- sorry -- if job satisfaction is higher at,
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`say, DaVita relative to the benchmark, that's okay. Because
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`since what I'm interested in is the change, unless there is
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`something which would lead somehow the economy to have a change
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`in job satisfaction, which is not reflected at DaVita because
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`somehow it's insulated from the economy -- which I don't
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`believe it is -- then my comparison is going to be valid.
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`In other words, if you have my charts in mind, the
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`point I'm making is that I think it was -- you know, there was
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`a chart with 13 percent versus 9 percent. That difference is
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`not one that I'm particularly interested in, but it's the one
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`you're referring to. What I'm interested is how the change
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`compares between the two groups.
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`Q. Okay. So I'd like to draw out a little bit of what you
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`just said. So you said if the change in job satisfaction is
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`different over time, then your analysis is not valid.
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`If the change in job satisfaction at DaVita changes
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`over time relative to the national benchmark, your analysis is
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`not valid?
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`A. What I'm saying that if there was a significant -- if there
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`was a reason --
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`Q. Sir --
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`A. Sorry.
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`Q. My question is --
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`THE COURT: Are you under the impression you're
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`communicating with the Court, or are you just having a nice
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`discussion with one economist to another? Because I don't know
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`what you're talking about.
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`MR. VIGEN: Okay. Let me back up.
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`BY MR. VIGEN:
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`Q. You agree, Dr. Cremieux, that, essentially, various
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`variables can impact and cause turnover and compensation data
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`to change; correct?
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`A. Yes.
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`Q. Okay. And we talked about some variables that you
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`acknowledged could impact that change. You at least
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`acknowledged overall inflation or the economy growing; right?
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`A. In the case of compensation, inflation would matter. I
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`think in the case of job turnover, you took the example of job
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`satisfaction, so that may matter.
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`Q. Okay. So one of the variables that might matter is job
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`satisfaction at DaVita?
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`A. We're now back on the job turnover; right?
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`Q. I'm just asking if job satisfaction as an economic variable
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`could impact turnover and compensation numbers at DaVita.
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`A. It's possible.
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`Q. Okay. The assumption is, using a difference-in-difference
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`approach, that job satisfaction at DaVita relative to the
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`benchmarks you chose is roughly the same, that they're
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`impacting those numbers in relatively the same way?
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`A. No, it's not.
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`Q. Okay. Can you explain why not?
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`A. Because in that analysis, what I'm doing is I'm looking at
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`the trend, the growth, if you will, or reduction in
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`compensation for DaVita. And all I'm doing with the benchmark
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`is I want to make sure that if I observe a growth in
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`compensation at DaVita, I know how to interpret it, given
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`that -- if, for example, in the benchmark, the growth was twice
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`as fast, it means that, really, DaVita is lagging. If the
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`growth is half as fast, it means DaVita is going faster. So
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`what I'm doing here is really just using the benchmark to help
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`interpret the DaVita data. Not making any statements about
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`whether the fact that I observed a 13 percent growth in
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`compensation at DaVita and a 9 percent growth in compensation
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`for the benchmark means anything. Doesn't make any difference.
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`Q. Okay. What I would like to focus on is how to do a proper
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`difference-in-difference analysis, not what you did.
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`A. Okay.
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`Q. Okay. So let's just back up to the first principles.
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`A. Okay.
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`THE COURT: So what you're saying is you don't want to
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`focus on what he did; you want to focus on some analysis of
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`yours?
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`MR. VIGEN: No. I'm focusing on the method that he
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`chose to use, which is the difference-in-difference method.
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`THE COURT: Let's see if I can even understand what
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`we're talking about.
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`Sir, in section 5, as I read it -- and probably
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`putting it more simply than you do -- you're looking at
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`DaVita's turnover rate for, during, and after the conspiracy
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`periods, and you're looking at a national -- you call it a
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`benchmark -- average turnover rate for senior executives; yes?
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`THE WITNESS: That's exactly right. Yes.
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`THE COURT: And you're comparing DaVita's turnover
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`rate to the benchmark during this period of time; yes?
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`THE WITNESS: I'm comparing the two changes. So they
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`go up, both at different rates, and I'm just looking at the
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`changes of the two.
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`THE COURT: You say that during the period starting
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`before our conspiracy periods and continuing all the way
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`through and even after the conspiracy periods, the national
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`turnover rate for executives was 8 to 9 percent.
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`THE WITNESS: That's right.
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`THE COURT: And you said that during that same period,
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`DaVita's rate of turnover started at 4 percent and grew up to 7
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`to 8 percent.
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`THE WITNESS: I don't remember the numbers off the top
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`of my head; but, yes, I make statements about --
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`THE COURT: I think those are the numbers, because I
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`just read them over the weekend.
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`And then you say, thus, DaVita's rate of turnover
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`increased relative to the benchmark. And you say that wouldn't
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`happen, in your opinion, if there was a labor market allocation
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`agreement in place.
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`THE WITNESS: That's exactly right. Yes.
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`THE COURT: That's section 5.
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`Section 6, you're, in theory, comparing DaVita's
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`salaries during, before, and after the conspiracy period to the
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`national average; yes?
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`THE WITNESS: Yes.
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`THE COURT: And you say DaVita's median annualized
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`salaries for senior-level executives exceeded the national
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`benchmark by 50 percent before the conspiracy period. In other
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`words, you worked at DaVita, you got paid better than the
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`national average.
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`THE WITNESS: That's right.
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`THE COURT: During the conspiracy period, it wasn't
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`50 percent anymore; it was 52 percent higher.
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`THE WITNESS: That's right.
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`THE COURT: After the conspiracy period, you say it
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`was now only 45 percent higher. So you say the highest DaVita
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`average salary compared to the benchmark occurred during the
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`conspiracy period. And then from that, you concluded if there
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`was an allocation agreement in effect, that shouldn't have
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`happened.
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`THE WITNESS: Correct. I would expect the opposite.
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`Yes.
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`THE COURT: That's what section 5 and 6 are about.
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`THE WITNESS: That's right.
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`THE COURT: Okay. Now, what's your problem with it,
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`that he's so full of beans that his opinion can't even be
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`heard?
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`BY MR. VIGEN:
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`Q. So, Dr. Cremieux, can you please explain to the Court what
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`the parallel trends assumption or the common trends assumption
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`is with respect to the difference-in-difference approach.
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`A. So the assumption here is that there is validity in looking
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`at how the DaVita compensation increased and comparing it with
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`the change in compensation in a sector which DaVita used as its
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`benchmark for its compensation in its own document, which is
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`the outpatient healthcare sector. So I'm not doing anything
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`here that is unusual, that's methodologically problematic or
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`inconsistent with very much the way in which DaVita itself was
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`thinking about what benchmark it should use when it's thinking
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`about its own employees and how to compensate them.
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`MR. VIGEN: Could we please show the witness
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`Government Exhibit 588. And if we can go to page 3.
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`BY MR. VIGEN:
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`Q. Sir, I was trying to get you to explain in laymen's terms
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`for the Court the parallel trends assumption; but I'd like to
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`read you this explanation of it.
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`"The parallel trend assumption is the most critical of
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`the above four assumptions to ensure internal validity of
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`difference-in-difference models" --
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`THE COURT: What are you reading from?
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`MR. VIGEN: This is an article explaining the
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`difference-in-difference analysis on the Columbia University
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`website. I'm trying to see if the witness agrees with this to
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`try to get this in simpler terms.
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`THE COURT: An article on the Columbia University
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`website?
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`MR. VIGEN: Describing the difference-in-difference
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`approach, and I'd like the witness to see if he agrees with
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`this.
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`THE COURT: How long is the article?
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`MR. VIGEN: Four pages.
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`THE COURT: Do you want to take the time to read it,
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`or are you familiar with it already?
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`THE WITNESS: I'd love to have it in front of me just
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`so I know what the context of it is.
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`done.
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`MR. VIGEN: Okay.
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`THE COURT: Okay. Show it to him.
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`You go ahead and read it, and tell us when you're
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`MR. VIGEN: Your Honor, I wanted to -- I want to show
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`the witness Government Exhibit 590, please.
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`THE COURT: 590?
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`MR. VIGEN: Yes, sir.
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`THE COURT: What's 590?
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`BY MR. VIGEN:
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`Q. Sir, this is a textbook that you cited in your expert
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`opinion; correct?
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`A. Yes.
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`Q. Okay. Could we please go to -- you specifically cited
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`Chapter 5 on differences-in-differences; correct?
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`A. Yes. I believe that's right.
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`MR. VIGEN: Could we go to the opening paragraph,
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`please.
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`BY MR. VIGEN:
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`13
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`Q. Do you see where it says, "This chapter considers a
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`variation on the control theme: Strategies that use data with
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`a time or cohort dimension to control for unobserved but fixed
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`omitted variables. These strategies punt on comparisons and
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`levels while requiring the counterfactual trend behavior of
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`treatment and control groups to be the same."
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`Do you see that?
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`A. I apologize. Can I read it from the beginning, just
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`because I think you started reading and --
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`sorry.
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`THE COURT: Absolutely, you can.
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`THE WITNESS: Okay. Just give me one second. I'm
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`Okay. Thank you.
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`BY MR. VIGEN:
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`Q. Do you agree that the strategies punt on comparisons and
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`levels while requiring the counterfactual trend behavior of
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`treatment and control groups to be the same?
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`A. Yes, I do.
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`Q. Okay. And the treatment group is the DaVita data; is that
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`right?
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`A. That's right.
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`Q. And the control group is your benchmark data; correct?
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`A. That's correct.
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`Q. Okay. And this is saying that the counterfactual trend
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`behavior of both groups needs to be the same; right?
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`A. That's what this says. Yes.
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`Q. And you agree with that?
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`A. Well, it depends what you applied for. But, yes, I agree
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`generally with the statement. There is nothing wrong with the
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`statement.
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`Q. Okay. I'd like to show what you have done to show that or
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`what you have not done to show that. If we could go to your
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`expert report, Government Exhibit 510. Specifically,
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`Exhibit 3.
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`So the counterfactual trend behavior being the same,
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`you need to show that it's the same before the conspiracy
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`period; you would agree with that?
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`A. That's not quite right.
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`Q. Okay. What do you disagree about that?
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`A. What I disagree about is that what happens within the
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`pre-conspiracy period is not particularly important. What's
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`important is that as I compare the levels before and during the
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`conspiracy period at DaVita, I have an anchor that I can use to
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`see how that evolution fits within what we see in the more
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`general economy, in the comparators that DaVita uses for its
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`compensation.
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`So that's what I'm doing. I'm literally simply taking
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`a benchmark and -- which is -- which includes DaVita -- the
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`benchmark is the sector of the outpatient healthcare sector --
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`and I'm saying, well, it moved by 12 percent, DaVita moved up
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`by 15 percent, so DaVita moved up faster than the benchmark.
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`That's really beginning and end of the statement I'm making. I
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`made up the numbers; those are not the exact numbers in my
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`report; but, fundamentally, what I'm doing is that.
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`Q. Sir, where did you show that the trend behavior of the
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`DaVita data and the benchmark data was the same prior to the
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`conspiracy?
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`A. I didn't.
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`Q. And that is a necessary requirement -- if we go back to
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`Government Exhibit 590 -- for this to be a valid
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`difference-in-difference approach; correct?
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`24
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`A. No, that's not right. You're not reading -- you're
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`understand -- I think you're not understanding that document
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`correctly.
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`Q. Okay.
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`A. That's not what it says.
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`Q. When this document says that, "These strategies punt on
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`comparisons and levels, while requiring the counterfactual
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`trend behavior of treatment and control groups to be the same,"
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`what is that saying you're supposed to show to show a valid
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`difference-in-difference approach?
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`A. What that says is that since I'm comparing two periods for
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`DaVita and I'm comparing two periods for the benchmark, the
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`movement between the two absent the allegations should
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`expect -- should be expected to be similar. And since the
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`benchmark is in fact the benchmark that DaVita uses to
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`determine its compensation, that seems like quite a reasonable
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`assumption to me.
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`Q. Okay. But you need to actually show that those trends in
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`the before period are moving in similar fashion; that's what
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`you just said.
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`A. No, that's not what I just said. I'm sorry. You're not
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`understanding. You're making the mistake of conflating what
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`happens before -- in the before period with the difference in
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`the trend before and after. So you cannot just look at one
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`period. Because, again, if you look at my report, you'll see
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`that the -- in the before period -- in fact, you put it up on
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`the chart earlier. If you go to the chart with the percentage
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`change, you'll see that I have something like a 3.6, I think.
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` 2
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`Q. 3.9.
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`A. 3.9 percent change difference. That number in and of
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`itself is not particularly interesting. What is interesting is
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`how it compares with the number after.
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`Q. Right. If you go back to 590, you're saying, what is
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`interesting is how it compares?
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`A. You mean 510; right?
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`Q. No. 590.
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`A. Okay.
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`Q. The counterfactual in your analysis is the before period;
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`would you agree with that?
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`13
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`A. No, I don't. That's I think the source of the error. The
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`counterfactual here is not the before period. The
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`counterfactual is the growth rate before and after for the
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`benchmark. I'm not making any statements about the before
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`period being the counterfactual. It's -- methodologically,
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`what I'm doing is different from what I think what you have in
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`your head as my method.
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`Q. The trend behavior between what you're studying, DaVita's
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`data and the benchmark, absent an alleged conspiracy, they need
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`to be moving in a relatively similar trend. That's what the
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`word -- that's what the whole purpose of this trend analogy is;
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`right?
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`A. I agree with that. Yes.
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`Q. Okay. Where in your report did you show that the DaVita
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`data and the benchmark data moved over time in a similar trend?
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` 3
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`A. I don't. That's the whole point. Is I'm showing that if
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`you look at the benchmark -- which, again, is used by DaVita in
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`its own determination of compensation -- and I compare it with
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`the trend for DaVita itself, I observe a difference. I'm not
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`sure what more you'd expect me to do.
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`Q. When we were talking about all of these variables before
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`that impact both the benchmark and DaVita --
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`10
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`A. Uh-huh.
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`11
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`Q. -- the whole assumption of a difference-in-difference
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`12
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`approach is that those variables taken together, you don't need
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`to separately analyze, because they are all moving in the same
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`trend absent what you're studying here, the alleged conspiracy;
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`right?
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`16
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`A. Over the entire period?
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`Q. Correct.
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`A. Yes. Not in the pre-period, as you've been saying.
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`Q. Well, but it's important also in the pre-period, would you
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`20
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`agree, to show a parallel trend?
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`21
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`A. Not necessarily. What's important is to show that for the
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`two periods you're looking at, the benchmark is appropriate.
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`23
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`And, again, this benchmark, I'm not making it up. I'm taking
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`it from what DaVita uses as its own benchmark when it tries to
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`figure out how much to compensate its employees.
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`MR. VIGEN: Could we show you Government Exhibit 589,
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` 2
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`please.
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` 3
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`BY MR. VIGEN:
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` 4
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`Q. This is another document you cited in your report, the
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` 5
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`"Proving Antitrust Damages."
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` 6
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`A. Uh-huh.
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`Q. If we can start in the middle paragraph, starting with
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` 8
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`"further."
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`"Further, the benchmark and affected markets should be
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`characterized by sufficiently comparable economic conditions,
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`at least after controlling for observable factors, such that
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`prices in those markets would have been identical had there
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`been no anticompetitive behavior." Do I read that right?
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`14
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`A. I'm sorry. You're going -- at least for me, you're going
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`15
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`too fast. What are you reading from?
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`THE COURT: I can't cure him of that. I tried.
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`BY MR. VIGEN:
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`18
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`Q. Middle way through the first paragraph on the screen there.
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`"Further, the benchmark" --
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`20
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`A. Yes.
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`21
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`Q. Can you read it --
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`A. Give me one second to read from the beginning, and then
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`I'll be happy to focus on what you'd like me to focus on.
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`24
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`25
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`MR. VIGEN: Could we highlight that "A" please.
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`THE WITNESS: Okay. I see this.
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`
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`BY MR. VIGEN:
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` 2
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`Q. And then if we can go down to the next paragraph, where it
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` 3
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`says, "Under the assumption that the differences would have
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` 4
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`been stable, controlling for observable factors but for the
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` 5
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`alleged anticompetitive conduct, the difference-in-differences
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` 6
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`provides an alternative approach to estimating damages."
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`A. Yeah, I see that.
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`Q. Okay. And this is generally saying what we have been
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`discussing before, that the DaVita data and the benchmark data
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`10
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`should be moving in relatively stable, similar trends for this
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`11
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`to be a valid analysis. Would you agree with that?
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`12
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`A. Absent the allegations.
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`13
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`Q. Absent the allegations.
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`A. There we have --
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`Q. So let's go back to your Exhibit 3 in Government
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`16
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`Exhibit 510. So absent the allegations, we see that in your
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`17
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`before period; correct?
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`18
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`A. That's right.
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`19
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`Q. Okay. But you have not shown across those three years that
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`20
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`it is a stable trend, have you?
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`21
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`A. Again, I haven't. But you're not understanding, I think,
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`22
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`the point of the previous article. That's not what the article
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`23
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`is saying. What the article is saying is that over the entire
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`24
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`period -- so in this case, 2009 through 2017 or 2019 -- would
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`25
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`you expect, absent the allegation, for the trends to be roughly
`
`
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`the same for the entire period?
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` 2
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`Q. But, sir, you just acknowledged in the before period, when
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` 3
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`there is no allegation, that in and of itself that before
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` 4
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`period should be stable, as compared to the DaVita data and the
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` 5
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`benchmark data.
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` 6
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`A. I'm sorry. Should be stable, as compared to the DaVita
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` 7
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`data and the benchmark data? I don't know --
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` 8
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`Q. The trend should be stable to have a valid
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` 9
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`difference-in-difference approach?
`
`10
`
`A. Which trend?
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`11
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`Q. The trend in the difference-in-difference between the
`
`12
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`DaVita compensation data and the benchmark compensation data.
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`13
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`A. I'm sorry. I mean, I'm really not understanding. There is
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`14
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`no such thing as a trend in the before period in the
`
`15
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`difference-in-difference. The difference-in-difference
`
`16
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`analysis is all about using both the before period and the
`
`17
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`after period -- that's the first difference -- and using the
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`18
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`benchmark versus DaVita. That's the second difference in
`
`19
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`difference-in-difference. So you can't have a
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`20
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`difference-in-difference in one of the two periods. It doesn't
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`21
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`make sense. You can have a difference, which is 3.9 percent.
`
`22
`
`Q. Sir, before I got to the ultimate question that would show
`
`23
`
`why this is problematic, what you've done, you acknowledge that
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`24
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`in the before period, the trend between the DaVita data and the
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`25
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`benchmark data should be similar. You acknowledged that right
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`
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`before I got into the follow-up questions; right?
`
` 2
`
`A. I have not looked at that. That's correct.
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` 3
`
`Q. You haven't looked at it. Okay. We have.
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` 4
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`A. Doesn't matter, but that's correct.
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` 5
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`Q. We have. I'd like to show you what we did with your data.
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` 6
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`THE COURT: Well, you don't show him anything until
`
` 7
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`you show it to your opposing counsel first.
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` 8
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`10
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`11
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`13
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`Show it to the Court, too, if you wouldn't mind.
`
`MR. VIGEN: Julie, can we have the Elmo?
`
`THE COURT: This is something you created, Mr. Vigen?
`
`MR. VIGEN: From his data.
`
`THE COURT: Right.
`
`MR. VIGEN: Correct.
`
`THE COURT: You don't have an expert; it's you?
`
`MR. VIGEN: Well, this is what I'm representing; and I
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`16
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`want to see if he did this. It's a demonstrative.
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`17
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`MR. MELSHEIMER: Your Honor, I guess -- I appreciate
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`18
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`the lovely burnt orange and the University of Texas homage in
`
`19
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`this, but I don't understand how he's going to cross-examine --
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`20
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`I don't understand how he's going to cross-examine Dr. Cremieux
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`21
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`on something that he did without any basis for how it's done or
`
`22
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`what was done or anything like that.
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`23
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`THE COURT: Well, during this so-called Daubert
`
`24
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`hearing, I'll let him do that. But when it comes to the actual
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`25
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`trial in front of the jury, unfortunately for -- maybe
`
`
`
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`fortunately -- for the government, Mr. Vigen can't take the
`
` 2
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`stand.
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` 3
`
`MR. MELSHEIMER: Thank you.
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` 4
`
`BY MR. VIGEN:
`
` 5
`
`Q. Okay. So on your Exhibit 3, you showed an average of the
`
` 6
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`2009 to 2011 years; is that right?
`
` 7
`
`A. Can you show me Exhibit 3 again?
`
` 8
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`That's -- that seems -- I mean, again, I don't know
`
` 9
`
`how you generated those numbers; I don't know where they come
`
`10
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`from; I don't know if they're right; so I'm just going to take
`
`11
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`your word for it for now. So the 3.9 percentage points is the
`
`12
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`average over that period. It's the average elevation in
`
`13
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`job-to-job turnover for the senior-level employees in that
`
`14
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`period. Yes.
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`15
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`MR. VIGEN: If we go back to the demonstrative on the
`
`16
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`Elmo, please.
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`17
`
`BY MR. VIGEN:
`
`18
`
`Q. This is the type of analysis you did not show; right? You
`
`19
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`did not show the trend in the before period; correct?
`
`20
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`A. That's right. It's not relevant to my analysis.
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`21
`
`Q. Okay.
`
`22
`
`A. That's why I'm doing the difference-in-difference.
`
`23
`
`Q. The difference-in-difference analysis, as we discussed,
`
`24
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`requires that your control group, your benchmark, and the
`
`25
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`DaVita data have a similar trend outside of the effective
`
`
`
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`conspiracy wi



