Aggregate cost uncertainty, arising from real shocks or unanticipated inflation, reduces the informativeness of prices by scrambling relative and aggregate variations. But when agents can acquire additional information, such increased noise may in fact lea d them to become better informed and price competition will intensify. The authors examine these issues in a model of search with learning where consumers search optimally from an unknown price distribution while firms price optimally given consumers' search rules. They show that the decisive factor in whether inflation variability increases or reduces the incentive to search, and thereby market efficiency, is t he size of informational costs. Copyright 1993 by The Review of Economic Studies Limited.
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Volume (Year): 60 (1993) Issue (Month): 1 (January) Pages: 69-94 Download reference. The following formats are available: HTML
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Michael R. Baye & John Morgan & Patrick Scholten, 2006.
"Information, Search, and Price Dispersion,"
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2006-11, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
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