Equilibrium price dispersion with sequential search
Guido Menzio and
Nicholas Trachter
Journal of Economic Theory, 2015, vol. 160, issue C, 188-215
Abstract:
The paper studies equilibrium pricing in a product market for an indivisible good where buyers search for sellers. Buyers search sequentially for sellers but do not meet every seller with the same probability. Specifically, a fraction of the buyers' meetings lead to one particular large seller, while the remaining meetings lead to one of a continuum of small sellers. In this environment, the small sellers would like to set a price that makes the buyers indifferent between purchasing the good and searching for another seller. The large seller would like to price the small sellers out of the market by posting a price that is low enough to induce buyers not to purchase from the small sellers. These incentives give rise to a game of cat-and-mouse, whose only equilibrium involves mixed strategies for both the large and the small sellers. The fact that the small sellers play mixed strategies implies that there is price dispersion. The fact that the large seller plays mixed strategies implies that prices and allocations vary over time. We show that the fraction of the gains from trade accruing to the buyers is positive and nonmonotonic in the degree of market power of the large seller. As long as the large seller has some positive but incomplete market power, the fraction of the gains from trade accruing to the buyers depends in a natural way on the extent of search frictions.
Keywords: Imperfect competition; Search frictions; Price dispersion (search for similar items in EconPapers)
JEL-codes: D21 D43 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)
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Working Paper: Equilibrium Price Dispersion with Sequential Search (2014) 
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jetheo:v:160:y:2015:i:c:p:188-215
DOI: 10.1016/j.jet.2015.09.004
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