具有私有信息和公共知识未观测异质性的离散博弈均衡唯一性的尖锐检验

IF 1 4区 经济学 Q3 ECONOMICS Econometric Theory Pub Date : 2023-03-16 DOI:10.1017/s0266466623000063
Mathieu Marcoux
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引用次数: 1

摘要

本文提出了在估计不完全信息的静态离散对策时通常保持的数据假设中的单一均衡的检验。通过考虑离散的公共知识回报相关的未观察到的异质性,该测试推广了将参与者决策之间的所有相关性归因于多重均衡的现有方法。它不需要估计收益,因此在利用多重平衡来识别模型基元的实证应用中很有用。该过程可以归结为测试一组数据生成过程的空性,这些过程可以通过单一平衡和有限混合在未观察到的异质性上使样本合理化。在可检验的条件下,这个可检验的蕴涵对于退化平衡选择是一般充分的。主要的识别假设是存在一个可观察变量,该变量扮演着不可观察异质性的代理角色。基于现有文献的经验应用,提供了此类代理的示例。
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SHARP TEST FOR EQUILIBRIUM UNIQUENESS IN DISCRETE GAMES WITH PRIVATE INFORMATION AND COMMON KNOWLEDGE UNOBSERVED HETEROGENEITY
This paper proposes a test of the single equilibrium in the data assumption commonly maintained when estimating static discrete games of incomplete information. By allowing for discrete common knowledge payoff-relevant unobserved heterogeneity, the test generalizes existing methods attributing all correlation between players’ decisions to multiple equilibria. It does not require the estimation of payoffs and is therefore useful in empirical applications leveraging multiple equilibria to identify the model’s primitives. The procedure boils down to testing the emptiness of the set of data generating processes that can rationalize the sample through a single equilibrium and a finite mixture over unobserved heterogeneity. Under verifiable conditions, this testable implication is generically sufficient for degenerate equilibrium selection. The main identifying assumption is the existence of an observable variable that plays the role of a proxy for the unobservable heterogeneity. Examples of such proxies are provided based on empirical applications from the existing literature.
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来源期刊
Econometric Theory
Econometric Theory MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-STATISTICS & PROBABILITY
CiteScore
1.90
自引率
0.00%
发文量
52
审稿时长
>12 weeks
期刊介绍: Since its inception, Econometric Theory has aimed to endow econometrics with an innovative journal dedicated to advance theoretical research in econometrics. It provides a centralized professional outlet for original theoretical contributions in all of the major areas of econometrics, and all fields of research in econometric theory fall within the scope of ET. In addition, ET fosters the multidisciplinary features of econometrics that extend beyond economics. Particularly welcome are articles that promote original econometric research in relation to mathematical finance, stochastic processes, statistics, and probability theory, as well as computationally intensive areas of economics such as modern industrial organization and dynamic macroeconomics.
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