We construct twelve marginal--copula combinations using three marginal distributions (normal, <italic>t</italic> and <italic>S_U </italic>-normal) and four types of copulas (normal, skewed normal, <italic>t</italic> and skewed <italic>t</italic>). Bivariate empirical evidence shows that the choice of marginal distribution plays a more important role in the Value...

This study provides a nonparametric test for the parametric conditional distribution in the sample selection model. The nonparametric test statistic proposed by Fan et al. (2006) is applied to the Korean housing demand model. Test results indicate that the conditional normality in the housing...

This study compares parametric and nonparametric quantile regression methods using Monte Carlo simulations. Simulation results indicate that the nonparametric quantile regression approach is more appropriate, particularly when the underlying model is nonlinear or the error term follows a...