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An Estimable Dynamic Model of Entry, Exit and Growth in Oligopoly Retail Markets

Author

Listed:
  • Victor Aguirregabiria
  • Pedro Mira
  • Hernan Roman

Abstract

This paper presents an estimable dynamic structural model of an oligopoly retail industry. The model can be estimated using panel data of local retail markets with information on new entries, exits and the size and growth of incumbent firms. In our model, retail firms are vertically and horizontally differentiated, compete in prices, make investments to improve the quality of their businesses, and decide to exit or to continue in the market. The model extends in two important ways the entry-exit model estimated in Aguirregabiria and Mira (2007). First, it includes firm size and growth as endogenous variables. And second, the empirical model has two sources of permanent unobserved heterogeneity: local-market heterogeneity and firm heterogeneity. This allows the researcher to control for potentially important sources of bias when using firm panel data with many local markets and several time periods.

Suggested Citation

  • Victor Aguirregabiria & Pedro Mira & Hernan Roman, 2007. "An Estimable Dynamic Model of Entry, Exit and Growth in Oligopoly Retail Markets," Working Papers tecipa-275, University of Toronto, Department of Economics.
    • Handle: RePEc:tor:tecipa:tecipa-275
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    References listed on IDEAS

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    1. Patrick Bajari & C. Lanier Benkard & Jonathan Levin, 2007. "Estimating Dynamic Models of Imperfect Competition," Econometrica, Econometric Society, vol. 75(5), pages 1331-1370, September.
    2. Victor Aguirregabiria & Pedro Mira, 2007. "Sequential Estimation of Dynamic Discrete Games," Econometrica, Econometric Society, vol. 75(1), pages 1-53, January.
    3. 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.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Victor Aguirregabiria & Victor Aguirregabiria & Aviv Nevo & Aviv Nevo, 2010. "Recent Developments in Empirical IO: Dynamic Demand and Dynamic Games," Working Papers tecipa-419, University of Toronto, Department of Economics.
    2. Florin Maican & Matilda Orth, 2017. "Productivity Dynamics and the Role of ‘Big-Box’ Entrants in Retailing," Journal of Industrial Economics, Wiley Blackwell, vol. 65(2), pages 397-438, June.
    3. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    4. Lauren Chenarides & Metin Çakır & Timothy J. Richards, 2024. "Dynamic model of entry: Dollar stores," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(2), pages 852-882, March.
    5. Jonathan Haskel & Raffaella Sadun, 2012. "Regulation and UK Retailing Productivity: Evidence from Microdata," Economica, London School of Economics and Political Science, vol. 79(315), pages 425-448, July.
    6. Joao Macieira, 2010. "Oblivious Equilibrium in Dynamic Discrete Games," 2010 Meeting Papers 680, Society for Economic Dynamics.
    7. Myrto Kalouptsidi & Paul T. Scott & Eduardo Souza-Rodrigues, 2015. "Identification of Counterfactuals in Dynamic Discrete Choice Models," NBER Working Papers 21527, National Bureau of Economic Research, Inc.
    8. Yingyao Hu & Yi Xin, 2019. "Identi?cation and estimation of dynamic structural models with unobserved choices," CeMMAP working papers CWP35/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Myrto Kalouptsidi & Paul T. Scott & Eduardo Souza-Rodrigues, 2015. "Identification of Counterfactuals and Payoffs in Dynamic Discrete Choice with an Application to Land Use," Working Papers tecipa-546, University of Toronto, Department of Economics.
    10. Yu Zheng & Juan Pantano, 2012. "Using Subjective Expectations Data to Allow for Unobserved Heterogeneity in Hotz-Miller Estimation Strategies," 2012 Meeting Papers 940, Society for Economic Dynamics.
    11. Richards, Timothy J. & Chenarides, Lauren & Çakir, Metin, 2022. "Dollar Store Entry," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322100, Agricultural and Applied Economics Association.
    12. Timothy J. Richards & Bradley J. Rickard, 2021. "Dynamic model of beer pricing and buyouts," Agribusiness, John Wiley & Sons, Ltd., vol. 37(4), pages 685-712, October.
    13. Sears, Louis S. & Lin Lawell, C.-Y. Cynthia & Walter, M. Todd, 2020. "Groundwater Under Open Access: A Structural Model of the Dynamic Common Pool Extraction Game," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304276, Agricultural and Applied Economics Association.

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    More about this item

    Keywords

    Industry dynamics; Oligopoly retail markets; Structural estimation;
    All these keywords.

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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