We consider a new copula method for mixed marginals of discrete and continuous random variables. Unlike the Bayesian methods in the literature , we use maximum likelihood estimation based on closed-form copula functions. We show with a simulation that our methodology performs similar to the...

This paper makes two contributions. First, we outline a simple simulation based framework for constructing conditional distributions for multi-factor and multi-dimensional diffusion processes, for the case where the functional form of the conditional density is unknown. The distributions can be...

In a treatment effect model with unconfoundedness, treatment assignments are not only independent of potential outcomes given the covariates, but also given the propensity score alone. Despite this powerful dimension reduction property, adjusting for the propensity score is known to lead to an...