Price experimentation with strategic buyers
AbstractA two-period model in which a monopolist endeavors to learn about the permanent demand parameter of a specific repeat buyer is presented. The buyer may strategically reject the seller's first-period offer for one of two reasons. First, in order to conceal information (i.e., to pool), a high-valuation buyer may reject high prices that would never be accepted by a low-valuation buyer. Second, in order to reveal information (i.e., to signal), a low-valuation buyer may reject low prices that would always be accepted by a high-valuation buyer. Given this, the seller often finds it optimal to post prices that reveal no useful information. Indeed, in the equilibrium where there is no signaling, the seller never charges an informative first-period price. Learning may occur in the equilibrium where there is maximal signaling, but the scope for learning appears to be quite limited even in this case. Indeed, in order to preempt information transmission through signaling, the seller may set a first-period price strictly below the buyer's lowest possible valuation.
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Bibliographic InfoArticle provided by Springer in its journal Review of Economic Design.
Volume (Year): 12 (2008)
Issue (Month): 3 (September)
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Web page: http://link.springer.de/link/service/journals/10058/index.htm
Other versions of this item:
- Oksana Loginova & Curtis R. Taylor, 2005. "Price Experimentation with Strategic Buyers," Working Papers 0509, Department of Economics, University of Missouri.
- Loginova, Oksana & Taylor, Curtis, 2003. "Price Experimentation with Strategic Buyers," Working Papers 03-02, Duke University, Department of Economics.
- C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
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