Estimation of spatial autoregressive panel data models with fixed effects

Lung-Fei Lee and Jihai Yu ()

Journal of Econometrics, 2010, vol. 154, issue 2, 165-185

Abstract: This paper establishes asymptotic properties of quasi-maximum likelihood estimators for SAR panel data models with fixed effects and SAR disturbances. A direct approach is to estimate all the parameters including the fixed effects. Because of the incidental parameter problem, some parameter estimators may be inconsistent or their distributions are not properly centered. We propose an alternative estimation method based on transformation which yields consistent estimators with properly centered distributions. For the model with individual effects only, the direct approach does not yield a consistent estimator of the variance parameter unless T is large, but the estimators for other common parameters are the same as those of the transformation approach. We also consider the estimation of the model with both individual and time effects.

Keywords: Spatial; autoregression; Panel; data; Fixed; effects; Quasi-maximum; likelihood; estimation; Conditional; likelihood (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (446)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:econom:v:154:y:2010:i:2:p:165-185

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