In this paper I study the e¤ects of environmental regulation which establishes upper and lower binding targets to pollution emissions. Essentially, I deal with the properties of a stochastic model of pollution control in continuous-time under emission targets and uncertainty, emphasizing...

In this paper we develop several regression algorithms for solving general stochastic optimal control problems via Monte Carlo. This type of algorithms is particularly useful for problems with a highdimensional state space and complex dependence structure of the underlying Markov process with...

We propose a simple and powerful method for determining the transition process in continuous-time DSGE models under Poisson uncertainty numerically. The idea is to transform the system of stochastic differential equations into a system of functional differential equations of the retarded type....