@TechReport{iza:izadps:dp3487,
            	author={Buddelmeyer, Hielke and Jensen, Paul H. and Oguzoglu, Umut and Webster, Elizabeth},
            	title={Fixed Effects Bias in Panel Data Estimators},
            	year={2008},
	month={May},
            	institution={Institute of Labor Economics (IZA)},
            	address={Bonn},
            	type={IZA Discussion Paper},
            	number={3487},
            	url={https://www.iza.org/index.php/publications/dp3487},
	abstract={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).	},
	keywords={fixed effects;panel data;LSDV;dynamic model},
            }