A Bayesian analysis is given of a random effects probit model that allows for heteroscedasticity. Real and simulated … examples illustrate the approach and show that ignoring heteroscedasticity when it exists may lead to biased estimates and poor …

application settings are clearly affected by heteroscedasticity, as well as the exogenous and endogenous variables under … relations, simultaneously estimating and accounting for heteroscedasticity. Dynamic quantile linkages for the international …