Foundation of competitive equilibrium with non-transferable utility

被引:1
作者
Cho, In-Koo [1 ,2 ,3 ]
Matsui, Akihiko [4 ]
机构
[1] Univ Illinois, Dept Econ, 1407 West Gregory, Urbana, IL 61801 USA
[2] Hanyang Univ, Dept Econ, Seoul, South Korea
[3] Fed Reserve Bank St Louis, St Louis, MO 63102 USA
[4] Univ Tokyo, Fac Econ, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1130033, Japan
基金
日本学术振兴会; 美国国家科学基金会;
关键词
Non-transferable utility; Matching; Search; Undominated equilibrium; Competitive equilibrium; Random proposal model; 2-SIDED INCOMPLETE INFORMATION; PERFECT COMPETITION; DIVISIBLE MONEY; LARGE NUMBERS; CONVERGENCE; EXISTENCE; MARKET; MODEL;
D O I
10.1016/j.jet.2017.05.008
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper investigates the dynamic foundation of a competitive equilibrium, studying a sequence of random matching models between ex ante heterogeneous buyers and sellers under two-sided incomplete information with no entry, where each agent is endowed with non-transferable utility. The economy is populated with two sets of infinitesimal agents, buyers and sellers, who have private information about their own valuations of the object. In each period, buyers and sellers in the pool are matched to draw randomly a pair of expected payoffs, which will realize if the long term relationship is formed. Each player decides whether or not to agree to form a long term relationship, conditioned on his private information. If both parties agree, then they leave the pool, receiving the expected payoff in each period while the long term relationship continues. The existing long term relationship is terminated either by will or by a random shock, upon which both parties return to the respective pools of agents. We quantify the amount of friction by the time span of each period. We demonstrate that as the friction vanishes, any sequence of stationary equilibrium outcomes, in which trade occurs with a positive probability, converges to the competitive equilibrium, under a general two sided incomplete information about the private valuation of each agent. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:227 / 265
页数:39
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