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.
机构:
Ohio State Univ, Dept Econ, Columbus, OH 43215 USA
Ohio State Univ, Dept Translat Data Analyt, Columbus, OH 43215 USAOhio State Univ, Dept Econ, Columbus, OH 43215 USA
Caner, Mehmet
Han, Xu
论文数: 0引用数: 0
h-index: 0
机构:
City Univ Hong Kong, Dept Econ & Finance, Hong Kong, Hong Kong, Peoples R ChinaOhio State Univ, Dept Econ, Columbus, OH 43215 USA
Han, Xu
Lee, Yoonseok
论文数: 0引用数: 0
h-index: 0
机构:
Syracuse Univ, Dept Econ, Syracuse, NY 13244 USA
Syracuse Univ, Ctr Policy Res, Syracuse, NY 13244 USAOhio State Univ, Dept Econ, Columbus, OH 43215 USA