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A Generalized Spatial Panel Data Model with Random Effects

Badi Baltagi (), Peter Egger () and Michael Pfafermayr

No 113, Center for Policy Research Working Papers from Center for Policy Research, Maxwell School, Syracuse University

Abstract: This paper prooses 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 out 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.

Keywords: Panel data; spatially autocorrelated residuals; maximum-likelihood estimation; Lagrange multiplier; likelihood ratio (search for similar items in EconPapers)
JEL-codes: C12 C23 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm, nep-geo and nep-ure
Date: 2009-02
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Journal Article: A Generalized Spatial Panel Data Model with Random Effects (2013) Downloads
Working Paper: A Generalized Spatial Panel Data Model with Random Effects (2012) Downloads
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