Arbitrary Bilateral Bargaining in Decentralized Markets for Lemons

Bruno Barsanetti, Braz Camargo
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Abstract

We investigate the efficiency of dynamic random matching and bilateral bargaining markets with adverse selection. We take a detail-free approach to the bargaining game, assuming only that: (a) each agent's actions are optimal given the equilibrium market conditions and the equilibrium strategy of the opposing agents; (b) bargaining reveals information about the quality of the object to the uninformed buyer, who cannot commit to acquire the object at a price that exceeds her expected reservation price conditional on such information. We characterize the equilibrium that maximizes the realized gains from trade among all decentralized equilibria. We show this equilibrium features full information revelation during bargaining. This equilibrium also realizes strictly more gains from trade than any equilibrium of trade under a price system, which we use as a benchmark for trade in centralized markets. However, as trading frictions vanish, the optimal decentralized market allocation converges to the optimal centralized market allocation.
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柠檬分散市场中的任意双边谈判
研究了具有逆向选择的动态随机匹配和双边议价市场的效率问题。我们对议价博弈采取无细节的方法,仅假设:(a)给定均衡市场条件和对立代理的均衡策略,每个代理的行为是最优的;(b)议价向不知情的买方透露了有关物品质量的信息,买方不能承诺以超出其预期保留价的价格获得该物品。我们描述了在所有分散均衡中使贸易实现收益最大化的均衡。我们证明了这种均衡在议价过程中具有充分的信息披露特征。这种均衡从贸易中获得的收益也严格高于价格体系下的任何贸易均衡,我们将价格体系作为集中市场贸易的基准。然而,当交易摩擦消失时,分散市场的最优配置收敛于集中市场的最优配置。
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