We investigate the OLS-based estimator s(2) of the disturbance variance in an error component linear panel regression model when the disturbances are homoskedastic, but spatially correlated. Although consistent (Song and Lee, Econ. Lett. 2008), s(2) can be arbitrarily biased towards zero in finite samples. (C) 2010 Elsevier B.V. All rights reserved.</p
We consider inference about a scalar coefficient in a linear regression with spatially correlated er...
This paper examines the properties of Moran\u27s I test for spatial error autocorrelation when endog...
This article provides a survey of the specification and estimation of spatial panel data models. The...
We investigate the OLS-based estimator s(2) of the disturbance variance in an error component linear...
We investigate the OLS-based estimator s(2) of the disturbance variance in an error component linear...
We investigate the OLS-based estimator s2 of the disturbance variance in an error component linear p...
The ordinary least squares based estimator of the disturbance variance in a panel regression model w...
We derive bounds for the relative bias of the 0LS-based estimate s2 of the disturbance variance in t...
We investigate the asymptotic bias of the ordinary least squares estimator for spatial autoregressiv...
ABSTRACT: Conditions for the consistency of the estimator S 2 of the variance of the disturbance 1 u...
Regressions using data with known locations are increasingly used in empirical economics, and severa...
This paper surveys panel data models extended to spatial error autocorrelation or a spatially lagged...
The paper considers tests against for autocorrelation among the disturbances in linear regression mo...
Measurement error in an independent variable is one reason why OLS estimates may not be consistent. ...
This paper examines the properties of Moran\u27s I test for spatial error autocorrelation when endog...
We consider inference about a scalar coefficient in a linear regression with spatially correlated er...
This paper examines the properties of Moran\u27s I test for spatial error autocorrelation when endog...
This article provides a survey of the specification and estimation of spatial panel data models. The...
We investigate the OLS-based estimator s(2) of the disturbance variance in an error component linear...
We investigate the OLS-based estimator s(2) of the disturbance variance in an error component linear...
We investigate the OLS-based estimator s2 of the disturbance variance in an error component linear p...
The ordinary least squares based estimator of the disturbance variance in a panel regression model w...
We derive bounds for the relative bias of the 0LS-based estimate s2 of the disturbance variance in t...
We investigate the asymptotic bias of the ordinary least squares estimator for spatial autoregressiv...
ABSTRACT: Conditions for the consistency of the estimator S 2 of the variance of the disturbance 1 u...
Regressions using data with known locations are increasingly used in empirical economics, and severa...
This paper surveys panel data models extended to spatial error autocorrelation or a spatially lagged...
The paper considers tests against for autocorrelation among the disturbances in linear regression mo...
Measurement error in an independent variable is one reason why OLS estimates may not be consistent. ...
This paper examines the properties of Moran\u27s I test for spatial error autocorrelation when endog...
We consider inference about a scalar coefficient in a linear regression with spatially correlated er...
This paper examines the properties of Moran\u27s I test for spatial error autocorrelation when endog...
This article provides a survey of the specification and estimation of spatial panel data models. The...