STOCHASTIC CHOICE AND REVEALED PERTURBED UTILITY
成果类型:
Article
署名作者:
Fudenberg, Drew; Iijima, Ryota; Strzalecki, Tomasz
署名单位:
Harvard University
刊物名称:
ECONOMETRICA
ISSN/ISSBN:
0012-9682
DOI:
10.3982/ECTA12660
发表日期:
2015
页码:
2371-2409
关键词:
expected utility
Representation theorem
probabilistic choice
revealed preference
CONVERGENCE
equilibria
games
摘要:
Perturbed utility functions-the sum of expected utility and a nonlinear perturbation function-provide a simple and tractable way to model various sorts of stochastic choice. We provide two easily understood conditions each of which characterizes this representation: One condition generalizes the acyclicity condition used in revealed preference theory, and the other generalizes Luce's IIA condition. We relate the discrimination or selectivity of choice rules to properties of their associated perturbations, both across different agents and across decision problems. We also show that these representations correspond to a form of ambiguity-averse preferences for an agent who is uncertain about her true utility.