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Helmut Farbmacher

gmm with many weak moment conditions: replication and application of newey and windmeijer (2009) (replication data)

In a recent article Newey and Windmeijer (Generalized method of moments with many weak moment conditions. Econometrica 2009; 77(3): 687-719) 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): 979-1014) returns to education.

Data and Resources

Suggested Citation

Farbmacher, Helmut (2011): GMM with many weak moment conditions: Replication and application of Newey and Windmeijer (2009) (replication data). Version: 1. Journal of Applied Econometrics. Dataset. https://jda-test.zbw.eu/dataset/gmm-with-many-weak-moment-conditions-replication-and-application-of-newey-and-windmeijer-2009?__no_cache__=True