Standardized LM Tests for Spatial Error Dependence in Linear or Panel Regressions

Badi Baltagi and Zhenlin Yang

No 142, Center for Policy Research Working Papers from Center for Policy Research, Maxwell School, Syracuse University

Abstract: The robustness of the LM tests for spatial error dependence of Burridge (1980) and Born and Breitung (2011) for the linear regression model, and Anselin (1988) and Debarsy and Ertur (2010) for the panel regression model with random or fixed effects are examined. While all tests are asymptotically robust against distributional misspecification, their finite sample behavior may be sensitive to the spatial layout. To overcome this shortcoming, standardized LM tests are suggested. Monte Carlo results show that the new tests possess good finite sample properties. An important observation made throughout this study is that the LM tests for spatial dependence need to be both mean- and variance-adjusted for good finite sample performance to be achieved. The former is, however, often neglected in the literature. Key Words: Bootstrap; Distributional misspecification; Group interaction; LM test; Moran’s I Test; Robustness; Spatial layout; Spatial panel models JEL No. C21, C23, C5

Pages: 32 pages
Date: 2012-08
New Economics Papers: this item is included in nep-ure
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Citations: View citations in EconPapers (3)

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https://surface.syr.edu/cpr/188/ (application/pdf)

Related works:
Journal Article: Standardized LM tests for spatial error dependence in linear or panel regressions (2013)
Working Paper: Standardized LM Tests for Spatial Error Dependence in Linear or Panel Regressions (2010)
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