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来源类型Working Paper
规范类型报告
DOI10.3386/w15147
来源IDWorking Paper 15147
Identifying Heterogeneity in Economic Choice Models
Jeremy T. Fox; Amit Gandhi
发表日期2009-07-09
出版年2009
语种英语
摘要We show how to nonparametrically identify the distribution that characterizes heterogeneity among agents in a general class of structural choice models. We introduce an axiom that we term separability and prove that separability of a structural model ensures identification. The main strength of separability is that it makes verifying the identification of nonadditive models a tractable task because it is a condition that is stated directly in terms of the choice behavior of agents in the model. We use separability to prove several new results. We prove the identification of the distribution of random functions and marginal effects in a nonadditive regression model. We also identify the distribution of utility functions in the multinomial choice model. Finally, we extend 2SLS to have random functions in both the first and second stages. This instrumental variables strategy applies equally to multinomial choice models with endogeneity.
主题Econometrics ; Estimation Methods ; Industrial Organization
URLhttps://www.nber.org/papers/w15147
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/572822
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GB/T 7714
Jeremy T. Fox,Amit Gandhi. Identifying Heterogeneity in Economic Choice Models. 2009.
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