In the presence of heteroskedasticity, conventional test statistics based on the ordinary least square estimator lead … to incorrect inference results for the linear regression model. Given that heteroskedasticity is common in cross …-sectional data, the test statistics based on various forms of heteroskedasticity consistent covariance matrices (HCCMs) have been …

presence of an unknown form of heteroskedasticity in the disturbance term. The estimators formulated from the generalized … heteroskedasticity. In this study, the finite sample properties of the robust GMM estimator are compared with the estimators based on the … Bayesian MCMC approach for the spatial autoregressive models with heteroskedasticity of an unknown form. A Monte Carlo …

exploit the feature of the transmission mechanism responsible for its endogeneity. More explicitly, we assume the … intergenerational transfer of unobserved ability is invariant to the economic environment. This, combined with the heteroskedasticity …

endogenous covariates. We also provide a test for exogeneity which indicates whether endogeneity is in fact a matter or not. In … contrast to other methods proposed in the literature which deal with sample selection and endogeneity, our approach is … study and an empirical example are presented which indicate that not accounting for endogeneity in sample selection models …

Fuller) and HLIM (Heteroskedasticity robust limited information maximum likelihood (LIML)) were introduced by Hausman et al …

linear model with endogeneity. This estimator is consistent and asymptotically normally distributed in the many instruments …

Control variables provide an important means of controlling for endogeneity in econometric models with nonseparable and …