A finite sample correction for the variance of linear efficient two-step GMM estimators Export

@article{windmeijer:2005, abstract = {Monte Carlo studies have shown that estimated asymptotic standard errors of the efficient two-step generalized method of moments (GMM) estimator can be severely downward biased in small samples. The weight matrix used in the calculation of the efficient two-step GMM estimator is based on initial consistent parameter estimates. In this paper it is shown that the extra variation due to the presence of these estimated parameters in the weight matrix accounts for much of the difference between the finite sample and the usual asymptotic variance of the two-step GMM estimator, when the moment conditions used are linear in the parameters. This difference can be estimated, resulting in a finite sample corrected estimate of the variance. In a Monte Carlo study of a panel data model it is shown that the corrected variance estimate approximates the finite sample variance well, leading to more accurate inference.}, author = {Windmeijer, Frank}, citeulike-article-id = {3051885}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.jeconom.2004.02.005}, citeulike-linkout-1 = {http://www.sciencedirect.com/science/article/B6VC0-4C04WMJ-1/1/700ad3a15fb84a5a393dba0dc62e31ee}, doi = {10.1016/j.jeconom.2004.02.005}, journal = {Journal of Econometrics}, keywords = {2nd\_order\_asymptotics, asymptotics, gmm, variance}, month = {May}, number = {1}, pages = {25--51}, posted-at = {2008-07-28 15:59:04}, priority = {2}, title = {A finite sample correction for the variance of linear efficient two-step GMM estimators}, url = {http://dx.doi.org/10.1016/j.jeconom.2004.02.005}, volume = {126}, year = {2005} }

TY - JOUR ID - windmeijer:2005 L3 - citeulike-article-id:3051885 N2 - Monte Carlo studies have shown that estimated asymptotic standard errors of the efficient two-step generalized method of moments (GMM) estimator can be severely downward biased in small samples. The weight matrix used in the calculation of the efficient two-step GMM estimator is based on initial consistent parameter estimates. In this paper it is shown that the extra variation due to the presence of these estimated parameters in the weight matrix accounts for much of the difference between the finite sample and the usual asymptotic variance of the two-step GMM estimator, when the moment conditions used are linear in the parameters. This difference can be estimated, resulting in a finite sample corrected estimate of the variance. In a Monte Carlo study of a panel data model it is shown that the corrected variance estimate approximates the finite sample variance well, leading to more accurate inference. IS - 1 JF - Journal of Econometrics EP - 51 TI - A finite sample correction for the variance of linear efficient two-step GMM estimators VL - 126 SP - 25 KW - 2nd_order_asymptotics KW - asymptotics KW - gmm KW - variance AU - Windmeijer, Frank PY - 2005/05// UR - http://dx.doi.org/10.1016/j.jeconom.2004.02.005 ER -