Heterogeneity and the non-parametric analysis of consumer choice: Conditions for invertibility

• 成果类型: Article
• 署名作者: Beckert, Walter; Blundell, Richard
• 署名单位: University of London; University College London
• 刊物名称: REVIEW OF ECONOMIC STUDIES
• ISSN/ISSBN: 0034-6527
• DOI: 10.1111/j.1467-937X.2008.00500.x
• 发表日期: 2008
• 页码: 1069-1080
• 关键词: demand; identification; systems

摘要

This paper considers structural non-parametric random utility models for continuous choice variables with unobserved heterogeneity. We provide sufficient conditions on random preferences to yield reduced-form systems of non-parametric stochastic demand functions that allow global invertibility between demands and non-separable unobserved heterogeneity. Invertibility is essential for global identification of structural consumer demand models, for the existence of well-specified probability models of choice and for the non-parametric analysis of revealed stochastic preference. We distinguish between new classes of models in which heterogeneity is separable and non-separable in the marginal rates of substitution, respectively.