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Testing Panel Data Regression Models with Spatial Error Correlation

By Badi H. Baltagi, Seuck Heun Song and Won Koh

Abstract

This paper derives several Lagrange Multiplier tests for the panel data regression model with spatial error correlation. These tests draw upon two strands of earlier work. The first is the LM tests for the spatial error correlation model discussed in Anselin (1988, 1999) and Anselin, Bera, Florax and Yoon (1996), and the second is the LM tests for the error component panel data model discussed in Breusch and Pagan (1980) and Baltagi, Chang and Li (1992). The idea is to allow for both spatial error correlation as well as random region effects in the panel data regression model and to test for their joint significance. Additionally, this paper derives conditional LMtests, which test for random regional effects given the presence of spatial error correlation. Also, spatial error correlation given the presence of random regional effects. These conditional LM tests are an alternative to the one directional LM tests that test for random regional effects ignoring the presence of spatial error correlation or the one directional LM tests for spatial error correlation ignoring the presence of random regional effects. We argue that these joint and conditional LM tests guard against possible misspecification. Extensive Monte Carlo experiments are conducted to study the performance of these LM tests as well as the corresponding Likelihood Ratio tests.Panel data; Spatial error correlation, Lagrange Multiplier tests, Likelihood Ratio tests

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Citations

  1. (1999). A generalized moments estimator for the autoregressive parameter in a spatial model.
  2. (1983). A note on spectral decomposition and maximum likelihood estimation of ANOVA models with balanced data.
  3. (1989). Alternative tests of the error components model.
  4. (2000). Applying the generalized-moments estimation approach to spatial problems involving microlevel data.
  5. (1998). Asymptotic properties of Moran and related tests and a test for spatial correlation in probit models, working paper,
  6. (1993). Budget spillovers and …scal policy independence: Evidence from the states.
  7. (1973). Computing maximum likelihood estimates for the mixed A.O.V. model using the W-transformation.
  8. (1998). Consistent covariance matrix estimation with spatially dependent panel data.
  9. (1985). Critical value approximations for tests of linear regression disturbances.
  10. (2001). Econometrics Analysis of Panel Data
  11. (1991). Equipment investment and economic growth.
  12. (1971). Further evidence on the estimation of dynamic economic relations from a time-series of cross-sections.
  13. (1999). GMM estimation with cross sectional dependence.
  14. (1995). Growth empirics: A panel data approach.
  15. (1982). Likelihood ratio test, Wald test, and KuhnTucker test in linear models with inequality constraints on the regression parameters.
  16. (1977). Maximum likelihood approaches to variance component estimation and to related problems.
  17. (1967). Maximum likelihood estimation for the mixed analysis of variance model.
  18. (1992). Monte Carlo results on several new and existing tests for the error component model.
  19. (1999). Moran-‡avoured tests with nuisance parameters: Examples.
  20. (2001). On the asymptotic distribution of the Moran I test with applications.
  21. (1999). Prediction in the panel data model with spatial correlation.
  22. (1991). Properties of tests for spatial dependence in linear regression models.
  23. (1994). Public-sector capital and the productivity puzzle.
  24. (1999). Rao’s score tests in spatial econometrics.
  25. (1996). Simple diagnostic tests for spatial dependence.
  26. (1995). Small sample properties of tests for spatial dependence in regression models: Some further results.
  27. (1992). Spatial autocorrelation: A new computationally simple test with an application to per capita county police expenditures.
  28. (1998). Spatial dependence in linear regression models with an introduction to spatial econometrics.
  29. (1988). Spatial Econometrics: Methods and Models
  30. (1991). Spatial patterns in household demand.
  31. (1985). Testing the error components model with non-normal disturbances.
  32. (1980). The Lagrange Multiplier test and its application to model speci…cation in econometrics.