A finite sample correction for the variance of linear efficient two-step GMM estimators
By F. Windmeijer. 2005
3,109 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/eae3cdb88349809bd34de635f05f2251ef048865
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In Economics and Econometrics
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- G. David Roodman
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- Massimo G. Colombo
Citations in the corpus
- Determinants of Government Efficiency (2008, positive): “We apply the Windmeijer (2005) correction to the reported standard errors.”
- Appointments, Pay and Performance in UK Boardrooms by Gender (2014, positive): “The two step version of the estimator is used, with Windmeijer (2005) corrected standard errors.”
- Determinants of Corporate Debt Maturity in South America: Do Institutional Quality and Financial Development Matter? (2012, positive): “First, we employ two alternative GMM estimation procedures: two-step (Arellano and Bond, 1991; Windmeijer, 2005) and orthogonal deviations (Arellano and Bover, 1995).”
- GMM with many weak moment conditions (2005, positive): “…p-value plots for the Wald tests for the hypothesisH0 : β0 = 1, based on one-step GMM estimates (WGMM1), on two-step GMM estimates (WGMM2), on the Windmeijer (2005) corrected two-step Wald (WGMM2C), on the continuously updated Wald test using the conventional asymptotic variance (WCUE) and on…”
- Efficiency and Risk in European Banking (2011, positive): “17The estimated asymptotic standard errors of the efficient two-step GMM estimator are severely downward biased in small samples and sos we correct for this bias using the method proposed by Windmeijer (2005).”
- Does too much finance harm economic growth (2014, positive): “However, it should be noted that the GMM application to a sample with a small cross-section dimension, as in the present study, may lead to biased standard errors, biased estimated parameters (Windmeijer, 2005), and a weakened over-identification test (Bowsher, 2002).”
- A Monte Carlo study of growth regressions (2009, neutral): “On a related topic, Windmeijer (2005) discusses the small sample efficiency properties of two-step GMM estimators that are efficient asymptotically, and develops a correction. coefficient of 0.832 (the implied speeds of convergence, i.e. λ parameter, are respectively 0.1% and 3.68%).31 In contrast,…”
- ICT, Financial Inclusion, and Growth Evidence from African Countries (2011, positive): “Finally, we adopted the two-step System GMM with Windmeijer (2005) small sample robust correction.”
- Sectoral Agglomeration Economies in a Panel of European Regions (2008, positive): “In order to maximise e¢ciency, we employ the two-step estimator, and we correct the standard errors for the small-sample bias of the two-step estimator applying the correction suggested by Windmeijer (2005).”