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Common Sense and Simplicity in Empirical Industrial Organization

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  • Ariel Pakes

Abstract

This paper is a revised version of a keynote address delivered at the inaugural International Industrial Organization Conference in Boston, April 2003. I argue that new econometric tools have facilitated the estimation of models with realistic theoretical underpinnings, and because of this, have made empirical I. O. much more useful. The tools solve computational problems thereby allowing us to make the relationship between the economic model and the estimating equations transparent. This, in turn, enables us to utilize the available data more e ectively. It also facilitates robustness analysis and clarifies the assumptions needed to analyze the causes of past events and/or make predictions of the likely impacts of future policy or environmental changes. The paper provides examples illustrating the value of simulation for the estimation of demand systems and of semiparametrics for the estimation of entry models.

Suggested Citation

  • Ariel Pakes, 2003. "Common Sense and Simplicity in Empirical Industrial Organization," Harvard Institute of Economic Research Working Papers 2022, Harvard - Institute of Economic Research.
    • Handle: RePEc:fth:harver:2022
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    File URL: http://www.economics.harvard.edu/pub/hier/2003/HIER2022.pdf
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    References listed on IDEAS

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    1. Ariel Pakes & Paul McGuire, 1994. "Computing Markov-Perfect Nash Equilibria: Numerical Implications of a Dynamic Differentiated Product Model," RAND Journal of Economics, The RAND Corporation, vol. 25(4), pages 555-589, Winter.
    2. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444606, September.
    3. V. Joseph Hotz & Robert A. Miller, 1993. "Conditional Choice Probabilities and the Estimation of Dynamic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 497-529.
    4. H. S. Houthakker, 1955. "The Pareto Distribution and the Cobb-Douglas Production Function in Activity Analysis," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 23(1), pages 27-31.
    5. Berry, Steven T, 1992. "Estimation of a Model of Entry in the Airline Industry," Econometrica, Econometric Society, vol. 60(4), pages 889-917, July.
    6. Richard Ericson & Ariel Pakes, 1995. "Markov-Perfect Industry Dynamics: A Framework for Empirical Work," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 62(1), pages 53-82.
    7. Timothy F. Bresnahan & Peter C. Reiss, 1990. "Entry in Monopoly Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(4), pages 531-553.
    8. Pakes, Ariel S, 1986. "Patents as Options: Some Estimates of the Value of Holding European Patent Stocks," Econometrica, Econometric Society, vol. 54(4), pages 755-784, July.
    9. Ariel Pakes & Michael Ostrovsky & Steven Berry, 2007. "Simple estimators for the parameters of discrete dynamic games (with entry/exit examples)," RAND Journal of Economics, RAND Corporation, vol. 38(2), pages 373-399, June.
    10. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444590, September.
    11. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    12. Elie Tamer, 2003. "Incomplete Simultaneous Discrete Response Model with Multiple Equilibria," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(1), pages 147-165.
    13. Michael J. Mazzeo, 2002. "Product Choice and Oligopoly Market Structure," RAND Journal of Economics, The RAND Corporation, vol. 33(2), pages 221-242, Summer.
    14. Timothy F. Bresnahan & Peter C. Reiss, 1987. "Do Entry Conditions Vary across Markets?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 18(3, Specia), pages 833-882.
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    Cited by:

    1. Tat Y. Chan, 2006. "—Commentary on Structural Modeling in Marketing: Review and Assessment," Marketing Science, INFORMS, vol. 25(6), pages 633-634, 11-12.
    2. Christopher Snyder, 2003. "Introduction to the 2003 International Industrial Organization Conference Special Issue," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 23(3), pages 175-177, December.
    3. Haizhen Lin, 2015. "Quality Choice And Market Structure: A Dynamic Analysis Of Nursing Home Oligopolies," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1261-1290, November.
    4. Patrick Bajari & Stephanie Houghton & Steve Tadelis, 2006. "Bidding for Incomplete Contracts: An Empirical Analysis," NBER Working Papers 12051, National Bureau of Economic Research, Inc.
    5. Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2017. "Measuring the Sensitivity of Parameter Estimates to Estimation Moments," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1553-1592.
    6. Leheyda, Nina, 2008. "Geographical and Multi-product Linkages of Markets: Impact on Firm Equilibrium Interactions (Some Evidence from the European Car Market)," ZEW Discussion Papers 08-119, ZEW - Leibniz Centre for European Economic Research.
    7. Filistrucchi, L. & Gerardin, D. & van Damme, E.E.C. & Keunen, S. & Klein, T.J. & Michielsen, T.O. & Wileur, J., 2010. "Mergers in Two-Sided Markets - A Report to the NMa," Other publications TiSEM f901d1fe-8878-444e-a685-8, Tilburg University, School of Economics and Management.
    8. Patrick Bajari & Stephanie Houghton & Steven Tadelis, 2004. "Bidding for Incompete Contracts," Working Papers 2004.141, Fondazione Eni Enrico Mattei.

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    More about this item

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • L0 - Industrial Organization - - General

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