convergence rate of the QML estimators has not been formally studied, and methods for correcting finite sample bias of the QML … estimators have not been given. This paper fills in these gaps. Of the two, bias correction is particularly important to the … those for the SLD model in terms of the rate of convergence and the magnitude of bias. Monte Carlo results show that the …

This paper studies an alternative bias correction for the M-estimator, which is obtained by correcting the moment … equations in the spirit of Firth (1993). In particular, this paper compares the stochastic expansions of the analytically-bias …-step bias correction by using the bias correction of moment equations. This finding suggests that the comparison between the one …

local and marginal treatment effects. First, we characterize the bias, due to the omitted variables U, of (nonparametric …) regression and instrumental variables estimands, thereby generalizing the classic linear regression omitted variable bias formula …