Identification With Additively Separable Heterogeneity

• 成果类型: Article
• 署名作者: Allen, Roy; Rehbeck, John
• 署名单位: Western University (University of Western Ontario); University System of Ohio; Ohio State University
• 刊物名称: ECONOMETRICA
• ISSN/ISSBN: 0012-9682
• DOI: 10.3982/ECTA15867
• 发表日期: 2019
• 页码: 1021-1054
• 关键词: simultaneous-equations models; discrete-choice models; stochastic choice; nonparametric-estimation; rational inattention; random-coefficients; welfare analysis; preferences; Duality; MARKET

摘要

This paper provides nonparametric identification results for a class of latent utility models with additively separable unobservable heterogeneity. These results apply to existing models of discrete choice, bundles, decisions under uncertainty, and matching. Under an independence assumption, such models admit a representative agent. As a result, we can identify how regressors alter the desirability of goods using only average demands. Moreover, average indirect utility (welfare) is identified without needing to specify or identify the distribution of unobservable heterogeneity.