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Since little is known about the degree of bias in estimated fixed effects in panel data models, we run Monte Carlo simulations on a range of different estimators. We find that Anderson-Hsiao IV, Kiviet's bias-corrected LSDV and GMM estimators all perform well in both short and long panels....
Persistent link: https://www.econbiz.de/10003716527
Since little is known about the degree of bias in estimated fixed effects in panel data models, we run Monte Carlo simulations on a range of different estimators. We find that Anderson-Hsiao IV, Kiviet's bias-corrected LSDV and GMM estimators all perform well in both short and long panels....
Persistent link: https://www.econbiz.de/10013325234
Persistent link: https://www.econbiz.de/10002257115
Persistent link: https://www.econbiz.de/10003219086
Persistent link: https://www.econbiz.de/10003072241
This paper traces the innovation pathways of new creations from R & D activity through to intellectual property (IP) applications using enterprise panel data from 1989 to 2002. Our estimation method explicitly addresses the selection issues associated with missing R&D data which is a common...
Persistent link: https://www.econbiz.de/10014068657