On the Estimation of Panel Regression Models with Fixed Effects

Hugo Kruiniger

No 450, Working Papers from Queen Mary University of London, School of Economics and Finance

Abstract: This paper considers estimation of panel data models with fixed effects. First, we will show that a consistent "unrestricted fixed effects" estimator does not exist for autoregressive panel data models with initial conditions. We will derive necessary and sufficient conditions for the consistency of estimators for these models. In particular, we will show that various widely used GMM estimators for the conditional AR(1) panel model are inconsistent under trending fixed effects sequences. Next, we will derive, justify, and compare restricted Fixed Effects GMM and (Q)ML estimators for this model. We find that the FEML estimator is asymptotically efficient, whereas the Modified ML estimator is not. We will also compare the fixed effects approach for estimating the conditional AR(1) panel model and covariance parameters in static panel data models with the correlated random effects approach.

Keywords: Fixed effects; Correlated effects; (Essentially) random effects; Conditional likelihood; Modified likelihood; GMM; Quasi likelihood; Unit root test; Cross-sectional dependence (search for similar items in EconPapers)
JEL-codes: C11 C14 C23 (search for similar items in EconPapers)
Date: 2002-01-01
References: Add references at CitEc
Citations: View citations in EconPapers (4)

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Working Paper: On the estimation of panel regression models with fixed effects (2002)
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