Estimation of cross sectional and panel data censored regression models with endogeneity

被引:46
作者
Honoré, BE
Hu, LJ
机构
[1] Princeton Univ, Dept Econ, Princeton, NJ 08544 USA
[2] Northwestern Univ, Dept Econ, Evanston, IL 60208 USA
[3] Northwestern Univ, Inst Policy Res, Evanston, IL 60208 USA
基金
美国国家科学基金会;
关键词
censoring; endogeneity; panel data;
D O I
10.1016/j.jeconom.2003.06.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
It is very difficult to deal with endogeneity in limited dependent variables models. Unless strong assumptions are made on the exact relationship between the endogenous regressors and the instruments, it is generally not possible to apply instrumental variable type techniques. This paper derives moment conditions that are useful in estimating censored regression models with endogenous regressors. These moment conditions are motivated by panel data censored regression models with predetermined (but not strictly exogenous) explanatory variables, but the main insight is also applicable to cross sectional models with endogenous explanatory variables. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:293 / 316
页数:24
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