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Learning and Strategic Pricing

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  • Bergemann, Dirk
  • Valimaki, Juuso

Abstract

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.

Suggested Citation

  • Bergemann, Dirk & Valimaki, Juuso, 1996. "Learning and Strategic Pricing," Econometrica, Econometric Society, vol. 64(5), pages 1125-1149, September.
    • Handle: RePEc:ecm:emetrp:v:64:y:1996:i:5:p:1125-49
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    1. Philippe Aghion & Patrick Bolton & Christopher Harris & Bruno Jullien, 1991. "Optimal Learning by Experimentation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(4), pages 621-654.
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    9. Banks, Jeffrey S & Sundaram, Rangarajan K, 1992. "Denumerable-Armed Bandits," Econometrica, Econometric Society, vol. 60(5), pages 1071-1096, September.
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    11. Eric Maskin & Jean Tirole, 1985. "A Theory of Dynamic Oligopoly, II: Price Competition," Working papers 373, Massachusetts Institute of Technology (MIT), Department of Economics.
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