Instrumental values

被引:13
作者
Chesher, Andrew [1 ]
机构
[1] Inst Fiscal Studies, Ctr Microdata Methods & Practice, London, England
[2] UCL, London WC1E 6BT, England
基金
英国经济与社会研究理事会;
关键词
identification; nonseparable models; nonparametric identification; endogeneity; instrumental variables;
D O I
10.1016/j.jeconom.2006.06.003
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper studies identification of partial differences of nonseparable structural functions. A model is defined which admits structural functions exhibiting a degree of monotonicity with respect to a latent variate. The model identifies partial differences when there are instrumental values of covariates over which the latent variate exhibits a local quantile invariance, and a local order condition holds. The result is useful when covariates exhibit discrete variation, as arises often in practice, and when restricting latent variates and covariates to be statistically independent is unpalatable. The results are illustrated with data from the returns-to-schooling study of Angrist and Krueger [1991. Does compulsory schooling attendance affect schooling and earnings? Quarterly Journal of Economics 106, 979-1014]. (C) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:15 / 34
页数:20
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