Reducing Bias of MLE in a Dynamic Panel Model
AbstractThis paper investigates a simple dynamic linear panel regression model with both fixed effects and time effects. Using "large n and large T " asymptotics, we approximate the distribution of the fixed effect estimator of the autoregressive parameter in the dynamic linear panel model and derive its asymptotic bias. We find that the same higher order bias correction approach proposed by Hahn and Kuersteiner (2002) can be applied to the dynamic linear panel model even when time specifc effects are present.
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Bibliographic InfoPaper provided by Institute of Economic Policy Research (IEPR) in its series IEPR Working Papers with number 04.5.
Length: 13 pages
Date of creation: Dec 2004
Date of revision:
Other versions of this item:
- Jinyong Hahn & Hyungsik Roger Moon, 2005. "Reducing Bias of MLE in a Dynamic Panel Model," IEPR Working Papers, Institute of Economic Policy Research (IEPR) 05.36, Institute of Economic Policy Research (IEPR).
- NEP-ALL-2005-04-03 (All new papers)
- NEP-ECM-2005-04-03 (Econometrics)
- NEP-ETS-2005-04-03 (Econometric Time Series)
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- Marcus J Chambers, 2010.
"Jackknife Estimation of Stationary Autoregressive Models,"
Economics Discussion Papers, University of Essex, Department of Economics
684, University of Essex, Department of Economics.
- Chambers, Marcus J., 2013. "Jackknife estimation of stationary autoregressive models," Journal of Econometrics, Elsevier, Elsevier, vol. 172(1), pages 142-157.
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