市场竞争结构模型中企业信念的识别

Victor Aguirregabiria
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引用次数: 7

摘要

企业在不确定的情况下做出决策,收集和处理信息的能力也不同。因此,在不断变化的环境中,企业对其他企业的行为有异质的信念。这种信念的异质性可能对市场结果、效率和福利产生重要影响。本文利用观察到的企业行为来研究企业信念的识别——一种揭示性偏好和信念方法。我考虑了一个市场竞争的一般结构模型,其中企业具有不完全信息,他们的信念和利润是决策和状态变量的非参数函数。信念可能会失去平衡。该框架适用于连续和离散选择博弈,并包括价格或数量竞争的特殊案例模型、拍卖模型、进入博弈和动态投资博弈。我关注的是利用竞争模型中自然排斥限制的识别结果:一个影响企业成本(或收入)但对其他企业利润没有直接影响的可观察变量。我在三种情况下提出识别结果-在经验IO中常见-对研究人员可用的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of Firms' Beliefs in Structural Models of Market Competition
Firms make decisions under uncertainty and differ in their ability to collect and process information. As a result, in changing environments, firms have heterogeneous beliefs on the behavior of other firms. This heterogeneity in beliefs can have important implications on market outcomes, efficiency, and welfare. This paper studies the identification of firms' beliefs using their observed actions -- a revealed preference and beliefs approach. I consider a general structural model of market competition where firms have incomplete information and their beliefs and profits are nonparametric functions of decisions and state variables. Beliefs may be out of equilibrium. The framework applies both to continuous and discrete choice games and includes as particular cases models of competition in prices or quantities, auction models, entry games, and dynamic investment games. I focus on identification results that exploit a natural exclusion restriction in models of competition: an observable variable that affects a firm's cost (or revenue) but does not have a direct effect on other firms' profits. I present identification results under three scenarios --- common in empirical IO --- on the data available to the researcher.
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