GMM with many weak moment conditions: Replication and application of Newey and Windmeijer (2009)

被引:4
|
作者
Farbmacher, Helmut [1 ]
机构
[1] Univ Munich, Dept Econ, D-80539 Munich, Germany
关键词
INSTRUMENTAL VARIABLES ESTIMATION;
D O I
10.1002/jae.1277
中图分类号
F [经济];
学科分类号
02 ;
摘要
In a recent article Newey and Windmeijer (Generalized method of moments with many weak moment conditions. Econometrica 2009; 77(3): 687719) propose a new variance estimator for generalized empirical likelihood. In Monte Carlo examples they show that t-statistics based on the new variance estimator have nearly correct size. I have replicated their Monte Carlo simulations and in addition used the new variance estimator to re-estimate Angrist and Krueger's (Does compulsory school attendance affect schooling and earnings? Quarterly Journal of Economics 1991; 106(4): 9791014) returns to education. Copyright (c) 2011 John Wiley & Sons, Ltd.
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页码:343 / 346
页数:4
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