ABSTRACT: Conditions for the consistency of the estimator S 2 of the variance of the disturbance 1 under first?order spatial error processes are given. SINET: Ethiopian Journal of Science Vol. 23, No. 2 (December 2000), pp. 181-196 Key words/ phrases: Consistency, ordinary least squares estimator, spatial correlation, spatial error proces
Central limit theorems are developed for instrumental variables estimates of linear and semiparametr...
Central limit theorems are developed for instrumental variables estimates of linear and semiparametr...
Regressions using data with known locations are increasingly used in empirical economics, and severa...
Bounds for the efficiency of ordinary least squares estimator relative to generalized least squares ...
The ordinary least squares based estimator of the disturbance variance in a panel regression model w...
We investigate the asymptotic bias of the ordinary least squares estimator for spatial autoregressiv...
Bounds for the fficiency of ordinary least squares relative to generalized least squares estimator i...
We investigate the OLS-based estimator s2 of the disturbance variance in an error component linear p...
Measurement error in an independent variable is one reason why OLS estimates may not be consistent. ...
When a linear model is used to analyze spatially correlated data, but the form of the spatial correl...
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 s(2) of the disturbance variance in an error component linear...
Least squares estimation has casually been dismissed as an inconsistent estimation method for mixed ...
Least squares estimation has casually been dismissed as an inconsistent estimation method for mixed ...
Central limit theorems are developed for instrumental variables estimates of linear and semiparametr...
Central limit theorems are developed for instrumental variables estimates of linear and semiparametr...
Regressions using data with known locations are increasingly used in empirical economics, and severa...
Bounds for the efficiency of ordinary least squares estimator relative to generalized least squares ...
The ordinary least squares based estimator of the disturbance variance in a panel regression model w...
We investigate the asymptotic bias of the ordinary least squares estimator for spatial autoregressiv...
Bounds for the fficiency of ordinary least squares relative to generalized least squares estimator i...
We investigate the OLS-based estimator s2 of the disturbance variance in an error component linear p...
Measurement error in an independent variable is one reason why OLS estimates may not be consistent. ...
When a linear model is used to analyze spatially correlated data, but the form of the spatial correl...
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 s(2) of the disturbance variance in an error component linear...
Least squares estimation has casually been dismissed as an inconsistent estimation method for mixed ...
Least squares estimation has casually been dismissed as an inconsistent estimation method for mixed ...
Central limit theorems are developed for instrumental variables estimates of linear and semiparametr...
Central limit theorems are developed for instrumental variables estimates of linear and semiparametr...
Regressions using data with known locations are increasingly used in empirical economics, and severa...
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