This paper studies an alternative bias correction for the M-estimator, which is obtained by correcting the moment equation in the spirit of Firth (1993). In particular, this paper compares the stochastic expansions of the analytically bias-corrected estimator and the alternative estimator and finds that the third-order stochastic expansions of these two estimators are identical. This implies that at least in terms of the third order stochastic expansion, we cannot improve on the simple one-step bias correction by using the bias correction of moment equations. Though the result in this paper is for a .xed number of parameters, our intuition may extend to the analytical bias correction of the panel data models with individual speci.c e¤ects. ...
The first and second moment approximations for the k-class of estimators were originally obtained in...
In this paper, the biased estimator that is derived in Ng, Low, and Quah (2007) is further studied. ...
We develop the analytical results on the second-order bias and mean squared error (MSE) of estimator...
This paper studies an alternative bias correction for the M-estimator, which is obtained by correcti...
This paper studies an alternative bias correction for the M-estimator, which is obtained by correcti...
We derive the approximate results for the bias and mean squared error of a large class of estimators...
We provide analytical formulae for the asymptotic bias (ABIAS) and mean squared error (AMSE) of the ...
It is now widely recognized that the most commonly used efficient two-step GMM estimator may have la...
It is now widely recognized that the most commonly used efficient two-step GMM estimator may have la...
A computationally simple bias correction for linear dynamic panel data models is proposed and its as...
In an effort to improve the small sample properties of generalized method of moments (GMM) estimator...
In an effort to improve the small sample properties of generalized method of mo-ments (GMM) estimato...
It is well-known that k-step M-estimators can yield a high efficiency without losing the breakdown p...
This paper introduces a new class of M-estimators based on generalised em-pirical likelihood (GEL) e...
Many problems in biomedical and other sciences are subject to biased estimates (maximum likelihood o...
The first and second moment approximations for the k-class of estimators were originally obtained in...
In this paper, the biased estimator that is derived in Ng, Low, and Quah (2007) is further studied. ...
We develop the analytical results on the second-order bias and mean squared error (MSE) of estimator...
This paper studies an alternative bias correction for the M-estimator, which is obtained by correcti...
This paper studies an alternative bias correction for the M-estimator, which is obtained by correcti...
We derive the approximate results for the bias and mean squared error of a large class of estimators...
We provide analytical formulae for the asymptotic bias (ABIAS) and mean squared error (AMSE) of the ...
It is now widely recognized that the most commonly used efficient two-step GMM estimator may have la...
It is now widely recognized that the most commonly used efficient two-step GMM estimator may have la...
A computationally simple bias correction for linear dynamic panel data models is proposed and its as...
In an effort to improve the small sample properties of generalized method of moments (GMM) estimator...
In an effort to improve the small sample properties of generalized method of mo-ments (GMM) estimato...
It is well-known that k-step M-estimators can yield a high efficiency without losing the breakdown p...
This paper introduces a new class of M-estimators based on generalised em-pirical likelihood (GEL) e...
Many problems in biomedical and other sciences are subject to biased estimates (maximum likelihood o...
The first and second moment approximations for the k-class of estimators were originally obtained in...
In this paper, the biased estimator that is derived in Ng, Low, and Quah (2007) is further studied. ...
We develop the analytical results on the second-order bias and mean squared error (MSE) of estimator...