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Kunert and Utzig (1993) only give a rough upper bound for the worst-case variance bias. This may lead to overly conservative … tests. In this paper we derive an exact upper limit for the variance bias due to carry-over for an arbitrary number of …
Persistent link: https://www.econbiz.de/10009216911
We investigate the OLS-based estimator s2 of the disturbance variance in the standard linear regression model with cross section data when the disturbances are homoskedastic, but spatially correlated. For the most popular model of spatially autoregressive disturbances, we show that s2 can be...
Persistent link: https://www.econbiz.de/10009216920
As will be shown the current use of Desirability Indices for optimisation purposes in experimental design gives biased results in general. Researchers were satisfied with approximative solutions as unbiased results would have required analytical expressions for the distributions of Desirability...
Persistent link: https://www.econbiz.de/10010955482
We investigate the OLS-based estimator s2 of the disturbance variance in the standard linear regression model with cross section data when the disturbances are homoskedastic, but spatially correlated. For the most popular model of spatially autoregressive disturbances, we show that s2 can be...
Persistent link: https://www.econbiz.de/10005549263