Learning and Strategic Pricing
The authors consider a single consumer buying a stream of goods from different sellers over time. The true value of each seller's product is initially unknown. Additional information is obtained by experimentation. For exogenous prices, this is a multiarmed bandit problem. The innovation here is to endogenize the cost of experimentation by allowing for price competition between the sellers. Prices determine the intertemporal costs and benefits of learning for buyer and sellers. All Markov perfect equilibria are efficient. Prices below marginal cost sustain experimentation. Intertemporal exchange of the gains of learning is necessary to support efficient experimentation. Copyright 1996 by The Econometric Society.
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Volume (Year): 64 (1996)
Issue (Month): 5 (September)
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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Aghion, P. & Bolton, P. & Harris, C. & Jullien, B., 1990.
"Optimal Learning By Experimentation,"
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277, University of Rochester - Center for Economic Research (RCER).
- Rothschild, Michael, 1974. "A two-armed bandit theory of market pricing," Journal of Economic Theory, Elsevier, vol. 9(2), pages 185-202, October.
- Dirk Bergemann & Juuso Valimaki, 1996.
"Learning and Strategic Pricing,"
Cowles Foundation Discussion Papers
1113, Cowles Foundation for Research in Economics, Yale University.
- 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.
- Bertola, Giuseppe & Felli, Leonardo, 1993. "Job matching and the distribution of producer surplus," Ricerche Economiche, Elsevier, vol. 47(1), pages 65-92, March.
- Aghion, Philippe, et al, 1991. "Optimal Learning by Experimentation," Review of Economic Studies, Wiley Blackwell, vol. 58(4), pages 621-54, July.
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