Buddelmeyer, Hielke () (Melbourne Institute of Applied Economic and Social Research) Jensen, Paul H. () (University of Melbourne) Oguzoglu, Umut () (University of Manitoba) Webster, Elizabeth () (University of Melbourne)
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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. However, OLS outperforms the other estimators when the following holds: the cross-section is small (N = 20), the time dimension is short (T = 5) and the coefficient on the lagged dependent variable is large (γ = 0.8).
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Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number
3487.
Find related papers by JEL classification: C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data O11 - Economic Development, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development E00 - Macroeconomics and Monetary Economics - - General - - - General
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