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The system GMM estimator for dynamic panel data models combines moment conditions for the model in first differences with moment conditions for the model in levels. It has been shown to improve on the GMM estimator in the first differenced model in terms of bias and root mean squared error....
Persistent link: https://www.econbiz.de/10011256005
The system GMM estimator for dynamic panel data models combines moment conditions for the model in first differences with moment conditions for the model in levels. It has been shown to improve on the GMM estimator in the first differenced model in terms of bias and root mean squared error....
Persistent link: https://www.econbiz.de/10008531426
The finite sample behaviour is analysed of particular least squares (LS) and method of moments (MM) estimators in panel data models with individual effects and both a lagged dependent variabIe regressor and another explanatory variabIe which may be affected by lagged feedbacks from the dependent...
Persistent link: https://www.econbiz.de/10005136967
The relative magnitudes are compared of successive terms in a higher-order asymptotic expansion of the bias of the LSDV estimator in dynamic panels. We find that the leading term accounts for the major part of the actual bias in small samples. This implies that bias correction procedures can be...
Persistent link: https://www.econbiz.de/10005136972
This discussion paper led to a publication in the <A href="http://www.sciencedirect.com/science/article/pii/S0304407605000618">'Journal of Econometrics'</A> 132(2), 409-44.<P>The finite sample behaviour is analysed of particular least squares (LS) andmethod of moments (MM) estimators in panel data models with individual effectsand both a lagged dependent variabIe regressor and...</p></a>
Persistent link: https://www.econbiz.de/10011256572
This discussion paper resulted in a publication in <I>Economics Letters</I>. Vol. 79(2), pages 145-152.<P> The relative magnitudes are compared of successive terms in a higher-order asymptotic expansion of the bias of the LSDV estimator in dynamic panels. We find that the leading term accounts for the...</p></i>
Persistent link: https://www.econbiz.de/10011256793