Econometric Analysis of Games with Multiple Equilibria

被引:46
|
作者
de Paula, Aureo [1 ,2 ,3 ]
机构
[1] UCL, Dept Econ, London WC1E 6BT, England
[2] Ctr Microdata Methods & Practice CeMMAP, London WC1E 7AE, England
[3] Inst Fiscal Studies, London WC1E 7AE, England
来源
基金
美国国家科学基金会;
关键词
identification; multiplicity; social interactions; IDENTIFICATION POWER; EMPIRICAL-ANALYSIS; MODELS; INFERENCE; ESTIMATORS; ENTRY;
D O I
10.1146/annurev-economics-081612-185944
中图分类号
F [经济];
学科分类号
02 ;
摘要
This article reviews the recent literature on the econometric analysis of games in which multiple solutions are possible. Multiplicity does not necessarily preclude the estimation of a particular model (and, in certain cases, even improves its identification), but ignoring it can lead to misspecifications. The review starts with a general characterization of structural models that highlights how multiplicity affects the classical paradigm. Because the information structure is an important guide to identification and estimation strategies, I discuss games of complete and incomplete information separately. Although many of the techniques discussed here can be transported across different information environments, some are specific to particular models. Models of social interactions are also surveyed. I close with a brief discussion of post-estimation issues and research prospects.
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页码:107 / 131
页数:25
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