A stochastic search variable selection approach is proposed for Bayesian model selection in binary and tobit quantile regression. A simple and efficient Gibbs sampling algorithm was developed for posterior inference using a location-scale mixture representation of the asymmetric Laplace...

Recent market developments raise doubts regarding further spread of household stock market participation. We study, computationally and econometrically, net gains from access to stocks, and estimate the potentially changing role of their determinants across the distribution of such gains for US...

Propensity score matching is becoming increasingly common in clinical medicine, demographic and economic research for the evaluation of the magnitude of treatment effects. Existing studies generally use parametric estimators of binary response models such as the probit and logit to estimate the...