G2TT
来源类型Discussion paper
规范类型论文
来源IDDP14521
DP14521 Search, Information and Prices
Stephen Morris; Dirk Bergemann; Benjamin A Brooks
发表日期2020-03-21
出版年2020
语种英语
摘要Consider a market with many identical firms offering a homogeneous good. A consumer obtains price quotes from a subset of firms and buys from the firm offering the lowest price. The \price count" is the number of firms from which the consumer obtains a quote. For any given ex ante distribution of the price count, we obtain a tight upper bound (under first-order stochastic dominance) on the equilibrium distribution of sale prices. The bound holds across all models of firms' common-prior higher-order beliefs about the price count, including the extreme cases of complete information (firms know the price count exactly) and no information (firms only know the ex ante distribution of the price count). A qualitative implication of our results is that even a small ex ante probability that the price count is one can lead to dramatic increases in the expected price. The bound also applies in a wide class of models where the price count distribution is endogenized, including models of simultaneous and sequential consumer search.
主题Industrial Organization
关键词Search Price competition Bertrand competition “law of one price” Price count Price quote Information structure Bayes correlated equilibrium
URLhttps://cepr.org/publications/dp14521
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/543424
推荐引用方式
GB/T 7714
Stephen Morris,Dirk Bergemann,Benjamin A Brooks. DP14521 Search, Information and Prices. 2020.
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