Progressive Random Choice

成果类型:
Article; Early Access
署名作者:
Filiz-Ozbay, Emel; Masatlioglu, Yusufcan
署名单位:
University System of Maryland; University of Maryland College Park
刊物名称:
JOURNAL OF POLITICAL ECONOMY
ISSN/ISSBN:
0022-3808
DOI:
10.1086/721732
发表日期:
2023
关键词:
Stochastic choice preferences temptation inference MODEL less RULE
摘要:
We introduce a flexible framework to study probabilistic choice that accommodates heterogeneous types and bounded rationality. We provide a novel progressive structure for the heterogeneous types to capture heterogeneity due to varying levels of a behavioral trait. Given an order of alternatives, our progressive structure sorts the types by the extent to which they align with this order. Unlike the random-utility model, our model uniquely identifies the heterogeneity, allowing policy makers to perform an improved welfare analysis. As a showcase, we provide characterization of a well-studied type of bounded rationality: less-is-more. In addition, we provide conditions for unique identification of the underlying order for the less-is-more structure.
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