1. Department of Economics , University of California at Los Angeles , Los Angeles, California, USA guggenbe@econ.ucla.edu;3. Department of Economics , University of California at Los Angeles , Los Angeles, California, USA
Abstract:
ABSTRACT We investigate the finite sample properties of two-step empirical likelihood (EL) estimators. These estimators are shown to have the same third-order bias properties as EL itself. The Monte Carlo study provides evidence that (i) higher order asymptotics fails to provide a good approximation in the sense that the bias of the two-step EL estimators can be substantial and sensitive to the number of moment restrictions and (ii) the two-step EL estimators may have heavy tails.