Modeling players with random data access

成果类型:
Article
署名作者:
Spiegler, Ran
署名单位:
Tel Aviv University; University of London; University College London
刊物名称:
JOURNAL OF ECONOMIC THEORY
ISSN/ISSBN:
0022-0531
DOI:
10.1016/j.jet.2021.105374
发表日期:
2021
关键词:
Non-rational expectations Non-standard type space Archival information Maximum entropy Limited data access
摘要:
I present an approach to static equilibrium modeling with non-rational expectations, which is based on enriching players' typology. A player is characterized by his data access, consisting of: (i) news access, which corresponds to a conventional signal in the Harsanyi model, and (ii) archival access, a novel component representing the player's piecemeal knowledge of steady-state correlations. Drawing on prior literature on correlation neglect and coarse reasoning, I assume the player extrapolates a well-specified probabilistic belief from his archival data according to the maximum-entropy criterion. I show with a series of examples how this formalism extends our ability to represent and analyze strategic interactions without rational expectations. (c) 2021 Elsevier Inc. All rights reserved.