Quality Uncertainty with Imperfect Information Acquisition
AbstractI analyze a monopolistic model of quality uncertainty but with the possibility of information acquisition on the consumer side. Information is costly and its amount is chosen by the consumer. The analysis of Bayesian equilibria shows the possibility of three equilibrium classes, only one of which leaves positive utility to the consumer. The classic adverse selection results of these markets are weakened in this situation. I show that cheaper information does not necessarily benefit the consumer but can instead rule out the buyer-friendly and welfare maximizing equilibria. Moreover, making quality search arbitrarily efficient does not lead to sure selling of the high quality product. A sustainable adverse selection effect, though weaker than in the classical model, remains even in the limit.
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Bibliographic InfoPaper provided by Bielefeld University, Center for Mathematical Economics in its series Working Papers with number 487.
Length: 45 pages
Date of creation: Sep 2013
Date of revision:
Quality uncertainty; Price signaling; Adverse selection; Information acquisition; Two-sided incomplete information;
Find related papers by JEL classification:
- C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
- D42 - Microeconomics - - Market Structure and Pricing - - - Monopoly
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-10-25 (All new papers)
- NEP-COM-2013-10-25 (Industrial Competition)
- NEP-CTA-2013-10-25 (Contract Theory & Applications)
- NEP-GTH-2013-10-25 (Game Theory)
- NEP-MIC-2013-10-25 (Microeconomics)
- NEP-UPT-2013-10-25 (Utility Models & Prospect Theory)
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.:
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