GradIOsyllabusSpring08

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    Syllabus for Economics 384K Seminar in Industrial OrganizationSpring 2008 (Unique number 34025)

    (Current at 9/1/08.)

    Instructor: Randal Watson (http://www.eco.utexas.edu/~watson/)

    Contact: [email protected], BRB 2.142Office hours: Mon 3:00pm-4:30pm, Thur 11:00am-12:00pm, or by appointment.

    Class times and location: Mon/Wed, 12:30-2:00pm, BRB 1.120

    Assessment criteria: See separate handout.

    Course Content

    This is the second course in a two-semester graduate-level field sequence in IndustrialOrganization. The course will take as given most of the content of the Fall-semester

    course in IO run by Professor Hendricks. Familiarity with that content is thus a desirable

    pre-requisite. However some material that may have been covered earlier (e.g., BLP)

    will be revisited as necessary, so a previous field course in IO may not be essential forstudents who are willing to do some extra background reading.

    The course readings are not designed as a comprehensive survey of all areas of activeresearch in IO, rather we will focus in detail on a group of more-or-less related papers

    collected into six or seven topics. The emphasis is on active areas of empirical research,

    although some theoretical issues will be covered.Criteria for assessment will be determined at the time of the first lecture: these may

    include combinations of homework assignments, student research proposals, and a final

    examination.

    There is no prescribed text. (However the text by Tirole (see below) is a more-or-lessessential reference for anyone working in IO, and the book by Bolton & Dewatripont

    would also be very useful for anyone working on theoretical topics.) In the lectures wewill concentrate on a set of required readings, indicated with asterisks in the followingreading list. These prescribed readings will be available in a photocopied packet from the

    UT Copy Center in the McCombs Building. The list of readings is by no means

    comprehensive: finite time will prevent us from doing complete justice to any giventopic. Additional topics may be covered in the (unlikely) event that we have time to

    spare after covering all the areas listed below, e.g., durable goods, advertising, etc.

    Reading List

    Journals cited:

    AER = American Economic Review. Bell = Bell J. of Economics (now RAND). CJE = Canadian J. ofEconomics. EconLetts = Economics Letters. EcmtricTh = Econometric Theory. EER = European

    Economic Review.Emet= Econometrica. IER = International Economic Review.IJIO = Intl J. of

    Industrial Organization.JAppEmet = J. of Applied Econometrics. JEmet= J. of Econometrics. JEMS= J.

    of Economics and Management Strategy. JEP= J. of Economic Perspectives. JET= J. of Economic

    Theory. JIndEcon = J. of Industrial Economics. JLEc = J. of Law and Economics. JLEO = J. of Law,

    Economics, and Organization. JOB = J. of Business. JPE= J. of Political Economy. RAND = RAND J. of

    Economics. REStud= Review of Economic Studies. SEJ= Southern Economic J.

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    http://www.eco.utexas.edu/~watson/mailto:[email protected]:[email protected]://www.eco.utexas.edu/~watson/mailto:[email protected]
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    Books and surveys of general interest:

    Ackerberg, D., C.L. Benkard, S. Berry & A. Pakes, Econometric tools for analyzing

    market outcomes, chapter forthcoming in theHandbook of Econometrics, vol. 6.

    Anderson, S., A. de Palma, and J.-F. Thisse (1992),Discrete choice theory of product

    differentiation, MIT Press.Bolton, P., & M. Dewatripont (2005), Contract Theory, MIT Press.

    Tirole, J. (1988), The Theory of Industrial Organization, MIT Press.

    Vives, X. (1999), Oligopoly pricing: Old ideas and new tools, MIT Press.

    1) Some preliminaries.

    Empirical preliminaries, Part A: Datasets for empirical IO: Whats out there?

    (Lecture notes.)

    Empirical preliminaries, Part B: Basic notions of identification in cross-section models

    (Lecture notes.)

    Theoretical preliminaries: Existence of equilibrium in oligopoly log-concave

    preferences and supermodular games.

    Caplin, A, & B. Nalebuff (1991), Aggregation and imperfect competition: On the

    existence of equilibrium,Emet, 59, 1, 25-59.

    Anderson, de Palma & Thisse, op. cit., Ch. 6.3.1.

    Amir, R. (2005), Supermodularity and complementarity in economics: An elementarysurvey, SEJ, 71, 3, 636-660.

    Milgrom, P., & J. Roberts (1990), Rationalizability, learning, and equilibrium in games

    with strategic complementarities,Emet, 58, 6, 1255-77.

    **Vives, op. cit., Ch. 2.2 thru 2.5.

    2) Recent developments in modeling differentiated-products industries

    Berry, S., J. Levinsohn & A. Pakes (1995), Automobile prices in market equilibrium,

    Emet, 63, 4, 841-90.

    Berry, S., J. Levinsohn & A. Pakes (2004), Differentiated products demand systems

    from a combination of micro and macro data: The new car market, JPE, 112, 1, 68-105.

    Davis, Peter (2005), Spatial competition in retail markets: movie theaters,RAND, 37,964-82.

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    Dube, Jean-Pierre (2005), Product differentiation and mergers in the carbonated soft

    drink industry,JEMS, 14, 4, 879-904.

    Goolsbee, Austan & Amil Petrin (2004), "The Consumer Gains from Direct Broadcast

    Satellites and the Competition with Cable TV,"Emet, 72, 2, 351-81.

    Hendel, I. (1999), Estimating multiple-discrete choice models: An application tocomputerization returns,REStud, 66, 2, 423-46.

    Hortacsu, Ali, & Chad Syverson (2004), Product differentiation, search costs, and

    competition in the mutual fund industry: A case study of S&P 500 index, QJE, 119, 2,403-56.

    Nevo, A. (1998), A research assistants guide to random coefficients discrete choice

    models of demand, NBER wp #0221.

    **Nevo, A. (2001), Measuring market power in the ready-to-eat cereal industry, Emet,

    69, 2, 307-42.

    **Petrin, A. (2002), "Quantifying the Benefits of New Products: The Case of the

    Minivan,"JPE, 110, 705-729.

    Thomadsen, Raphael (2002), The effect of ownership structure on prices in

    geographically differentiated industries,RAND, 36, 4, 908-29.

    3) Empirical models of entry and product selection static cases

    Andrews, D., S. Berry & P. Jia (2004), Confidence regions for parameters in discretegames with multiple equilibria ... , mimeo., Yale Economics.

    Aradillas-Lopez, A. (2007), Semiparametric estimation of a simultaneous game withincomplete information, mimeo., Princeton Economics.

    Aradillas-Lopez, A. (2007), Pairwise-difference estimation of incomplete-informationgames, mimeo., Princeton Economics.

    Bajari, P., H. Hong, J. Krainer & D. Nekipelov (2005), Estimating static models of

    strategic interactions, mimeo., Minnesota Economics.

    Bajari, P., H. Hong and S. Ryan (2006), Identification and estimation of a discrete game

    of complete information, mimeo., Minnesota Economics.

    **Berry, S. T. (1992), Estimation of a model of entry in the airline industry,Emet, 60,4, 889-917.

    Berry, S. T. & J. Waldfogel (1999), Free entry and social inefficiency in radio

    broadcasting,RAND, 30, 3, 397-420.

    Bresnahan, T. F. & P. C. Reiss (1990), Entry in monopoly markets,REStud, 57, 4, 531-53.

    Bresnahan, T. F. & P. C. Reiss (1991), Entry and competition in concentrated markets,

    JPE, 99, 977-1009.

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    Bresnahan, T. F. & P. C. Reiss (1991), Empirical models of discrete games,JEmet, 48,

    57-81.

    **Ciliberto, Federico, & Elie Tamer (2003), Market Structure and Multiple Equilibria in

    Airline Markets, unpublished mimeo., Northwestern Economics.

    Cohen, Andrew, & Mark Manuszak (2005), Endogenous market structure with discreteproduct differentiation and multiple equilibria: An empirical analysis of competition

    between banks and thrifts, mimeo., Federal Reserve Board of Governors.

    Danis, M. (2003), A discrete-choice approach to measuring competition in equity optionmarkets, OFHEO w.p. 03-5, Office of Federal Housing Enterprise Oversight.

    Einav, L. (2003), Not all rivals look alike: Estimating an equilibrium model of the

    release date timing game, mimeo., Stanford Economics.

    **Ho, Katherine (2007), Insurer-provider networks in the medical care market,

    mimeo., Columbia Economics.

    **Jia, Panle (2006), What happens when Walmart comes to town: An empirical

    analysis of the discount retailing industry, mimeo., MIT Economics.

    **Mazzeo, M. J. (2002), Product choice and oligopoly market structure, RAND, 33,

    221-42.

    Reiss, P. C. & P. T. Spiller (1989) Competition and entry in small airline markets,JLEc, 32, 2, S179-202.

    **Seim, K. (2006), An empirical model of firm entry with endogenous product-type

    choices,RAND, 37, 619-40.

    Schmidt-Dengler, P. (2006), The timing of new technology adoption: The case of MRI,

    mimeo., LSE Economics.

    **Sutton, J. (1997), One Smart Agent,RAND, 28, 605-28.

    **Tamer, E. (2003), Incomplete simultaneous discrete-response model with multipleequilibria,REStud, 70, 147-67.

    Toivanen, O., & M. Waterson (2005), Market structure and entry: Wheres the beef?,RAND, 36, 3, 680-99.

    4) Approaches to dynamic oligopoly

    General contributions:**Dunne, T., M. Roberts, & L. Samuelson (1988), Patterns of firm entry and exit in US

    manufacturing,RAND, 19, 4, 495-515.

    Hopenhayn, H. (1992), Entry, exit and firm dynamics in long-run equilibrium,Emet

    60, 1127-1150.

    Jovanovic, B. (1982), Selection and the evolution of industry,Emet50, 649-70

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    Jovanovic , B. & G. M. MacDonald (1994), The life cycle of a competitive industry,JPE, 102, 322-347.

    Klepper S., (2002), Firm survival and the evolution of oligopoly,RAND 33, 37-61.

    Pakes, A. & R. Ericson, (1998), Empirical implications of alternative models of firm

    dynamics,JET, 79, 1-45Rust, J. (1987), Optimal replacement of GMC bus engines: an empirical model of

    Harold Zurcher,Emet, 55, 5, 999-1033.

    Computational issues:

    **Doraszelski, U., & K. Judd (2007), Avoiding the curse of dimensionality in dynamicstochastic games, mimeo., Harvard Economics.

    Doraszelski, U., & M. Satterthwaite (2005), Foundations of Markov-perfect industry

    dynamics: Existence, purification and multiplicity, mimeo., Harvard Economics.

    Ericson, R., & A. Pakes (1995), Markov-perfect industry dynamics: A framework forempirical work,REStud, 62, 1, 53-82.

    Gowrisankaran, G. (1999), A dynamic model of endogenous horizontal mergers,RAND, 30, 1, 56-83.

    Doraszelski, U., and A. Pakes (2000), A framework for applied dynamic analysis in

    I.O., in M. Armstrong and R. Porter (eds.),Handbook of Industrial Organization, vol. 3,

    Elsevier.

    **Pakes, A. & P. McGuire (1994), Computing Markov-Perfect Nash equilibria:Numerical implications of a dynamic differentiated-product model,RAND, 25, 555-89.

    Pakes, A. & P. McGuire (2001), Stochastic algorithms, symmetric Markov-perfectequilibrium, and the Curse of dimensionality,Emet, 69, 5, 1261-81.

    Weintraub, G., L. Benkard & B. Van Roy (2005), Markov perfect industry dynamicswith many firms, NBER w.p. #11900.

    Estimation of dynamic games:

    Aguirregabiria, V. (2002), Another look at the identification of dynamic discrete

    decision processes, mimeo., Boston Univ.

    Aguirregabiria, V. & P. Mira (2007), Sequential estimation of dynamic discrete games,

    Emet, 75, 1-53.**Bajari, P., C. L. Benkard, & J. Levin (2007), Estimating dynamic models of imperfect

    competition,Emet, 75, 1331-70.

    Bajari, P., & H. Hong (2005), Semiparametric estimation of a dynamic game of

    incomplete information, mimeo., Minnesota Economics.

    Benkard, L. (2000), Learning and forgetting: the dynamics of aircraft production,AER,90, 1034-54.

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    Benkard, Lanier (2004), A dynamic analysis of the market for wide-bodied commercial

    aircraft,REStud, 71, 3, 581-611.

    Berry, S., & A. Pakes (2000), Estimation from the optimality conditions for dynamic

    controls, mimeo.

    Collard-Wexler, Allan (2005), Demand fluctuations and plant turnover in the ready-mixconcrete industry, mimeo., NYU.

    **Jofre-Bonet, M. & M. Pesendorfer (2003), Estimation of a dynamic auction game,Emet, 71, 5, 1443-89.

    Pakes, A., M. Ostrovsky, & S. Berry (2007), Simple estimators for the parameters ofdiscrete dynamic games (with entry/exit examples),RAND, 38, 373-99.

    Pesendorfer, M., & P. Schmidt-Dengler (2003), Identification and estimation of

    dynamic games, NBER wp #9726.

    Ryan, Stephen (2005), The costs of environmental regulation in a concentrated

    industry, mimeo., MIT.

    5) Tests of contract theory and mechanism design (other than auctions and

    nonlinear pricing)

    Ackerberg, D.A., & M. Botticini (2002), Endogenous matching and the empirical

    determinants of contract form,JPE, 110, 564-91.

    Chiappori, P.-A., & B. Salanie (2003), Testing contract theory: a survey of some recentwork, in Dewatripont, Hansen, & Turnovsky (eds.)Advances in Economics andEconometrics Theory and Applications, Eighth World Congress, Cambridge U.P.

    Cambridge, 115-49.

    **Chiappori, P.-A., & B. Salanie (2000), Testing for asymmetric information ininsurance markets,JPE, 108, 56-78.

    Chiappori, Pierre-Andre, B. Jullien, B. Salanie, & F. Salanie (2002), Asymmetric

    information in insurance: some testable implications, mimeo., Chicago.

    **Corts, K. (2001), The strategic effects of vertical market structure: Common agencyand divisionalization in the US motion picture industry,JEMS, 10, 4, 509-28.

    Hubbard, T. N. (1998), An empirical examination of moral hazard in the vehicle

    inspection market,RAND, 29, 2, 406-26.

    Iizuka, Toshiaki (2003), Experts agency problems: Evidence from the prescription drug

    market in Japan, mimeo., Vanderbilt.

    Joskow, P. L. (1987), Contract duration and relationship-specific investments: empiricalevidence from coal markets,AER, 77, 1, 168-85.

    Joskow, P. L. (1988), Asset specificity and the structure of vertical relationships:

    empirical evidence,JLEO, 4, 1, 95-117.

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    Monteverde, K. & D. J. Teece (1982), Supplier switching costs and vertical integration

    in the automobile industry,Bell, 13, 1, 206-13.

    Muris, T., & P. Spiller (1992), Strategy and transaction costs: The organization of

    distribution in the carbonated soft-drink industry,JEMS, 1, 83-128.

    **Shepard, A. (1993), Contractual form, retail price and asset characteristics in gasolineretailing,RAND, 24, 58-77.

    6)Selected papers on network effects and two-sided markets

    Ackerberg, D.A., & G. Gowrisankaran (2006), Quantifying equilibrium networkexternalities in the ACH banking industry,RAND, 37, 738-61.

    Ambrus, A., & R. Argenziano (2006), Asymmetric networks in two-sided markets,

    mimeo., Harvard.

    Armstrong, M. (2006), Competition in two-sided markets,RAND, 37, 668-91.

    Augereau, A., S. Greenstein & M. Rysman (2006), Coordination versus differentiation

    in a standards war: 56K modems,RAND, 37, 887-909.

    Clements, M., & H. Ohashi (2005), Indirect network effects and the product cycle: videogames in the U.S., 1994-2002,JIndEcon, 53, 515-42.

    Economides, N. (1996), The economics of networks,IJIO, 14, 6, 673-99.

    Gandal, N., M. Kende, & R. Rob (2000), The dynamics of technological adoption in

    hardware/software systems,RAND, 31, 1, 43-61.

    Hagiu, A. (2006), Pricing and commitment by two-sided platforms,RAND, 37, 720-37.

    **Ishii, J. (2005), Compatibility, competition, and investment in network industries:ATM networks in the banking industry, mimeo., Stanford GSB.

    Katz, M.L., & C. Shapiro (1985), Network externalities, competition, and

    compatibility,AER, 75, 424-40.

    Laffont, J.-J., P. Rey & J. Tirole (1998), Network competition I & Networkcompetiton II,RAND, 29, 1-37 & 38-56.

    Ohashi, H. (2003), The role of network effects in the U.S. VCR market, 1978-86,

    JEMS, 12, 447-94.

    Rochet, J.-C. & J. Tirole (2006), Two-sided markets: a progress report,RAND, 37,

    645-67.

    **Ryan, Stephen, & Catherine Tucker, Heterogeneity and the dynamics of technologyadoption, mimeo., MIT.

    **Rysman, M. (2004), Competition between networks: A study of the market for

    Yellow Pages,REStud, 71, 483-512.

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