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Consumer Demand with Unobserved Stockpiling and Intertemporal Price Discrimination

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Listed:
  • Thierry Magnac

    (Toulouse School of Economics)

  • Pierre Dubois

    (Toulouse School of Economics)

Abstract

We construct a tractable structural dynamic model of consumption, purchase and stocks by consumers for whom stockpiling is unobserved and for whom preferences are isolastic and affected by independent and identically distributed shocks. Consumers purchase in stores which they meet randomly and which are supposed to maximize short run profits. We show that a two-price mixed strategy by stores satisfies conditions for an equilibrium in which consumers and stores coordinate their expectations on this stationary solution. We derive a simple and tractable estimation method using log linearized demand equations and equilibrium conditions. We estimate parameters using scanner data registering soda purchases by French consumers during 2005-2007.

Suggested Citation

  • Thierry Magnac & Pierre Dubois, 2016. "Consumer Demand with Unobserved Stockpiling and Intertemporal Price Discrimination," 2016 Meeting Papers 451, Society for Economic Dynamics.
  • Handle: RePEc:red:sed016:451
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    References listed on IDEAS

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    1. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    2. Christine Boizot & Jean-Marc Robin & Michael Visser, 2001. "The demand for food products," Post-Print hal-03416605, HAL.
    3. Victor Aguirregabiria, 1999. "The Dynamics of Markups and Inventories in Retailing Firms," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 66(2), pages 275-308.
    4. Hong, Pilky & McAfee, R. Preston & Nayyar, Ashish, 2002. "Equilibrium Price Dispersion with Consumer Inventories," Journal of Economic Theory, Elsevier, vol. 105(2), pages 503-517, August.
    5. Christine Boizot & Jean-Marc Robin & Michael Visser, 2001. "The demand for food products," Post-Print hal-03416604, HAL.
    6. David Bell & Christian Hilber, 2006. "An empirical test of the Theory of Sales: Do household storage constraints affect consumer and store behavior?," Quantitative Marketing and Economics (QME), Springer, vol. 4(2), pages 87-117, June.
    7. Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-342, March.
    8. Boizot, Christine & Robin, Jean-Marc & Visser, Michael, 2001. "The Demand for Food Products: An Analysis of Interpurchase Times and Purchased Quantities," Economic Journal, Royal Economic Society, vol. 111(470), pages 391-419, April.
    9. Igal Hendel & Aviv Nevo, 2013. "Intertemporal Price Discrimination in Storable Goods Markets," American Economic Review, American Economic Association, vol. 103(7), pages 2722-2751, December.
    10. Hugo Benitez-Silva & John Rust & Gunter Hitsch & Giorgio Pauletto & George Hall, 2000. "A Comparison Of Discrete And Parametric Methods For Continuous-State Dynamic Programming Problems," Computing in Economics and Finance 2000 24, Society for Computational Economics.
    11. Robert C. Feenstra & Matthew D. Shapiro, 2003. "High-Frequency Substitution and the Measurement of Price Indexes," NBER Chapters, in: Scanner Data and Price Indexes, pages 123-146, National Bureau of Economic Research, Inc.
    12. Rust, John, 1996. "Numerical dynamic programming in economics," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 14, pages 619-729, Elsevier.
    13. H. M. Amman & D. A. Kendrick & J. Rust (ed.), 1996. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 1, number 1.
    14. Deaton, Angus & Laroque, Guy, 1996. "Competitive Storage and Commodity Price Dynamics," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 896-923, October.
    15. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    16. Manish Gangwar & Nanda Kumar & Ram C. Rao, 2014. "Consumer Stockpiling and Competitive Promotional Strategies," Marketing Science, INFORMS, vol. 33(1), pages 94-113, January.
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