potential heteroscedasticity or autocorrelation amongst the disturbances, leading to so-called heteroskedasticity and … autocorrelation robust test procedures. These procedures have been developed with the purpose of attenuating size distortions and … finite-sample results concerning the size and power properties of a large class of heteroskedasticity and autocorrelation …

and to discuss the implications for economic theory with respect to market efficiency and option pricing. …

production and non-production have shown negative relationship with output. Heteroscedasticity is checked by White test …

, we demonstrate the model's unique property of accommodating non-monotonic efficiency effect. With this non …-monotonicity, production efficiency no longer increases or decreases monotonically with the exogenous influence; instead, the relationship can … shifts within the sample. Our empirical example shows that variables can indeed have non-monotonic effects on efficiency …

, like a variable mean model is estimated, efficiency rankings are quite sensitive to heteroscedasticity correction schemes. …This paper examines the robustness of efficiency score rankings across four distributional assumptions for trans … the sensitivity of the nested models to a stronger heteroscedasticity correction for the one-sided error component. The …

approach may be useful for various regression analysis applications, especially those with strong heteroscedasticity. It helps …

Supplemental Nutrition Assistance Program. The potential endogeneity of participation in SNAP is considered as a potential problem … heteroscedasticity in the errors, the approach for dealing with heteroscedastic errors in Geweke (1993) is extended to the Bayesian … standard classical IV approach to correcting for heteroscedasticity. Although findings support the contention that the SNAP …