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Learning about Variable Demand in the Long Run

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  • Aldo Rustichini
  • Asher Wolinsky

Abstract

This paper studies the problem of a monopoly who is uncertain about the demand it faces and learns about it over time through its pricing experience. The demand curve facing the monopoly is not constant--it changes over time in how it differs from an informed monopoly's policy. It turns out that, even when the rate at which the demand varies is negligible, the stationary probability with which the monopoly's policy deviates from its informed counterpart is non-negligible, as long as the discount factor is below 1.

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Bibliographic Info

Paper provided by Northwestern University, Center for Mathematical Studies in Economics and Management Science in its series Discussion Papers with number 1015.

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Date of creation: Sep 1992
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Handle: RePEc:nwu:cmsems:1015

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Postal: Center for Mathematical Studies in Economics and Management Science, Northwestern University, 580 Jacobs Center, 2001 Sheridan Road, Evanston, IL 60208-2014
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Web page: http://www.kellogg.northwestern.edu/research/math/
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  1. Aghion, Philippe, et al, 1991. "Optimal Learning by Experimentation," Review of Economic Studies, Wiley Blackwell, vol. 58(4), pages 621-54, July.
  2. Balvers, Ronald J. & Cosimano, Thomas F., 1993. "Periodic learning about a hidden state variable," Journal of Economic Dynamics and Control, Elsevier, vol. 17(5-6), pages 805-827.
  3. Balvers, Ronald J & Cosimano, Thomas F, 1990. "Actively Learning about Demand and the Dynamics of Price Adjustment," Economic Journal, Royal Economic Society, vol. 100(402), pages 882-98, September.
  4. McLennan, Andrew, 1984. "Price dispersion and incomplete learning in the long run," Journal of Economic Dynamics and Control, Elsevier, vol. 7(3), pages 331-347, September.
  5. Easley, David & Kiefer, Nicholas M, 1988. "Controlling a Stochastic Process with Unknown Parameters," Econometrica, Econometric Society, vol. 56(5), pages 1045-64, September.
  6. Aghion Philippe & Bolton, Patrick & Harris Christopher & Jullien Bruno, 1991. "Optimal learning by experimentation," CEPREMAP Working Papers (Couverture Orange) 9104, CEPREMAP.
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Citations

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Cited by:
  1. Battaglini, Marco, 2005. "Optimality and Renegotiation in Dynamic Contracting," CEPR Discussion Papers 5014, C.E.P.R. Discussion Papers.
  2. Marco Battaglini, 2005. "Long-Term Contracting with Markovian Consumers," American Economic Review, American Economic Association, vol. 95(3), pages 637-658, June.
  3. Smith, L, 1996. "Social Learning in a Changing World," Working papers 96-34, Massachusetts Institute of Technology (MIT), Department of Economics.
  4. Francesco Squintani & Juuso Valimaki, 1999. "Imitation and Experimentation in a Changing Environment," Discussion Papers 1275, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  5. Squintani, Francesco & Valimaki, Juuso, 2002. "Imitation and Experimentation in Changing Contests," Journal of Economic Theory, Elsevier, vol. 104(2), pages 376-404, June.
  6. Tracy R. Lewis & Huseyin Yildirim, 2002. "Managing Dynamic Competition," American Economic Review, American Economic Association, vol. 92(4), pages 779-797, September.
  7. Volker Wieland, 1996. "Learning by doing and the value of optimal experimentation," Finance and Economics Discussion Series 96-5, Board of Governors of the Federal Reserve System (U.S.).
  8. Oksana Loginova & Curtis R. Taylor, 2005. "Price Experimentation with Strategic Buyers," Working Papers 0509, Department of Economics, University of Missouri.
  9. Klumpp, Tilman, 2006. "Linear learning in changing environments," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2577-2611, December.
  10. Mason, Robin & Välimäki, Juuso, 2011. "Learning about the arrival of sales," Journal of Economic Theory, Elsevier, vol. 146(4), pages 1699-1711, July.

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