Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/64843
Authors: 
Baltagi, Badi H.
Egger, Peter
Pfaffermayr, Michael
Year of Publication: 
2012
Series/Report no.: 
CESifo Working Paper: Empirical and Theoretical Methods 3930
Abstract: 
This paper proposes a generalized panel data model with random effects and first-order spatially autocorrelated residuals that encompasses two previously suggested specifications. The first one is described in Anselin's (1988) book and the second one by Kapoor, Kelejian, and Prucha (2007). Our encompassing specification allows us to test for these models as restricted specifications. In particular, we derive three LM and LR tests that restrict our generalized model to obtain (i) the Anselin model, (ii) the Kapoor, Kelejian, and Prucha model, and (iii) the simple random effects model that ignores the spatial correlation in the residuals. For two of these three tests, we obtain closed form solutions and we derive their large sample distributions. Our Monte Carlo results show that the suggested tests are powerful in testing for these restricted specifications even in small and medium sized samples.
Subjects: 
panel data
spatially autocorrelated residuals
maximum-likelihood estimation
Lagrange multiplier
likelihood ratio
JEL: 
C23
C12
Document Type: 
Working Paper

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