asymptotic bias properties of EL and possess a well-defined limit distribution under misspecification. …

asymptotic bias due to correlation of the moment functions with their Jacobian, eliminating an important source of bias for GMM … in models with endogeneity. We also find that EL has no asymptotic bias from estimating the optimal weight matrix …, eliminating a further important source of bias for GMM in panel data models. We give bias corrected GMM and GEL estimators. We …

This papers studies and compares the asymptotic bias of GMM and generalized empirical likelihood (GEL) estimators in … offers much reduced mean and median bias, root mean squared error and mean absolute error, as compared with two-step GMM and … other GEL methods. Both analytical and bootstrap bias-adjusted two-step GMM estimators are compared. Analytical bias …

characterise the bias introduced by misclassification on the average treatment effect on the treated under the assumption of … selection on observables. Although the bias of matching-type estimators computed from misclassified data cannot in general be … signed, we show that the bias is most likely to be downward if misclassification does not depend on variables entering the …