You can also change the view style at any point from the main header when using the pages with your mobile device.
Article A Subset-Continuous-Updating Transformation on GMM Estimators for Dynamic Panel Data Models Richard A.
View Full-Text This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining.
Academic Editor: name Version May 25, 2016 submitted to Econometrics; Typeset by LATEX using class file Abstract: The two-step GMM estimators of Arellano and Bond 1] and Blundell and Bond 2] for dynamic panel data models have been widely used in empirical work; however, neither of them performs well in small samples with weak instruments.We show that our subset-continuous-updating transformation does not alter the asymptotic distribution of the two-step GMM estimators and it therefore retains consistency.Our simulation results indicate that the transformed GMM estimators significantly outperform their standard two-step counterparts in small samples.Please select whether you prefer to view the MDPI pages with a view tailored for mobile displays or to view the MDPI pages in the normal scrollable desktop version.This selection will be stored into your cookies and used automatically in next visits.