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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...
Persistent link: https://www.econbiz.de/10010598813
The robustness of the LM tests for spatial error dependence of Burridge (1980) for the linear regression model and Anselin (1988) for the panel regression model are examined. While both tests are asymptotically robust against distributional misspecification, their finite sample behavior can be...
Persistent link: https://www.econbiz.de/10008725928
The standard LM tests for spatial dependence in linear and panel regressions are derived under the normality and homoskedasticity assumptions of the regression disturbances. Hence, they may not be robust against non-normality or heteroskedasticity of the disturbances. Following Born and Breitung...
Persistent link: https://www.econbiz.de/10010703151
Persistent link: https://www.econbiz.de/10010638642
This paper updates Baltagi's (2003, Econometric Theory 19, 165-224) rankings of academic institutions by publication activity in econometrics from 1989-1999 to 1989-2005. This ranking is based on 16 leading international journals that publish econometrics articles. It is compared with the prior...
Persistent link: https://www.econbiz.de/10005504088
This paper studies the performance of panel unit root tests when spatial effects are present that account for cross-section correlation. Monte Carlo simulations show that there can be considerable size distortions in panel unit root tests when the true specification exhibits spatial error...
Persistent link: https://www.econbiz.de/10005504091
This paper examines the consequences of model misspecification using a panel data model with spatially autocorrelated disturbances. The performance of several maximum likelihood estimators assuming different specifications for this model are compared using Monte Carlo experiments. These include...
Persistent link: https://www.econbiz.de/10005504094
This paper considers the problem of prediction in a panel data regression model with spatial autocorrelation in the context of a simple demand equation for liquor. This is based on a panel of 43 states over the period 1965-1994. The spatial autocorrelation due to neighboring states and the...
Persistent link: https://www.econbiz.de/10005504097
This study investigates the effect of the Temporary Aid to Needy Families (TANF) program on children’s health outcomes using data from the Survey of Income and Program Participation (SIPP) over the period 1994 to 2005. The TANF policies have been credited with increased employment for single...
Persistent link: https://www.econbiz.de/10011103258
Building upon the work of Chen et al. (2010), this paper proposes a test for sphericity of the variance-covariance matrix in a …xed e¤ects panel data regression model without the normality assumption on the disturbances.
Persistent link: https://www.econbiz.de/10011269088