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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/10010324812
Through Monte Carlo experiments the small sample behavior is examinedof various inference techniques for dynamic panel data models whenboth the time-series and cross-section dimensions of the data set aresmall. The LSDV technique and corrected versions of it are comparedwith IV and GMM...
Persistent link: https://www.econbiz.de/10010325043
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 another explanatory variabIewhich may be affected by lagged feedbacks from the dependent...
Persistent link: https://www.econbiz.de/10010325057
Persistent link: https://www.econbiz.de/10005345819
Persistent link: https://www.econbiz.de/10006763356
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
Persistent link: https://www.econbiz.de/10005192731
Through Monte Carlo experiments the small sample behavior is examined of various inference techniques for dynamic panel data models when both the time-series and cross-section dimensions of the data set are small. The LSDV technique and corrected versions of it are compared with IV and GMM...
Persistent link: https://www.econbiz.de/10005504900
Through Monte Carlo experiments the small sample behavior is examinedof various inference techniques for dynamic panel data models whenboth the time-series and cross-section dimensions of the data set aresmall. The LSDV technique and corrected versions of it are comparedwith IV and GMM...
Persistent link: https://www.econbiz.de/10011256520