G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/t0285
来源IDTechnical Working Paper 0285
Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity
Guido W. Imbens; Whitney K. Newey
发表日期2002-11-25
出版年2002
语种英语
摘要This paper investigates identification and inference in a nonparametric structural model with instrumental variables and non-additive errors. We allow for non-additive errors because the unobserved heterogeneity in marginal returns that often motivates concerns about endogeneity of choices requires objective functions that are non-additive in observed and unobserved components. We formulate several independence and monotonicity conditions that are sufficient for identification of a number of objects of interest, including the average conditional response, the average structural function, as well as the full structural response function. For inference we propose a two-step series estimator. The first step consists of estimating the conditional distribution of the endogenous regressor given the instrument. In the second step the estimated conditional distribution function is used as a regressor in a nonlinear control function approach. We establish rates of convergence, asymptotic normality, and give a consistent asymptotic variance estimator.
URLhttps://www.nber.org/papers/t0285
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/566961
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GB/T 7714
Guido W. Imbens,Whitney K. Newey. Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity. 2002.
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