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-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. This finding suggests that the comparison between the one-step bias correction and the method of correcting the moment equations or the fully-iterated bias correction should be based ...
In an effort to improve the small sample properties of generalized method of moments (GMM) estimator...
We consider many kernel-based density estimators, all theoretically improving bias from O(h2), as th...
Kinal (1980) showed that k-class estimators for which k < 1 possess all necessary higher moments. A ...
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...
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...
In this paper, the biased estimator that is derived in Ng, Low, and Quah (2007) is further studied. ...
It is now widely recognized that the most commonly used efficient two-step GMM estimator may have la...
We provide analytical formulae for the asymptotic bias (ABIAS) and mean squared error (AMSE) of the ...
The first and second moment approximations for the k-class of estimators were originally obtained in...
It is now widely recognized that the most commonly used efficient two-step GMM estimator may have la...
It is well-known that k-step M-estimators can yield a high efficiency without losing the breakdown p...
Many problems in biomedical and other sciences are subject to biased estimates (maximum likelihood o...
We propose a new finite sample corrected variance estimator for the linear generalized method of mom...
In an effort to improve the small sample properties of generalized method of moments (GMM) estimator...
We consider many kernel-based density estimators, all theoretically improving bias from O(h2), as th...
Kinal (1980) showed that k-class estimators for which k < 1 possess all necessary higher moments. A ...
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...
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...
In this paper, the biased estimator that is derived in Ng, Low, and Quah (2007) is further studied. ...
It is now widely recognized that the most commonly used efficient two-step GMM estimator may have la...
We provide analytical formulae for the asymptotic bias (ABIAS) and mean squared error (AMSE) of the ...
The first and second moment approximations for the k-class of estimators were originally obtained in...
It is now widely recognized that the most commonly used efficient two-step GMM estimator may have la...
It is well-known that k-step M-estimators can yield a high efficiency without losing the breakdown p...
Many problems in biomedical and other sciences are subject to biased estimates (maximum likelihood o...
We propose a new finite sample corrected variance estimator for the linear generalized method of mom...
In an effort to improve the small sample properties of generalized method of moments (GMM) estimator...
We consider many kernel-based density estimators, all theoretically improving bias from O(h2), as th...
Kinal (1980) showed that k-class estimators for which k < 1 possess all necessary higher moments. A ...