Endogeneity and correlated alternatives are major concerns to be addressed in travel behavior analysis. However, these issues have been rarely dealt with simultaneously in advanced discrete choice models. This study proposed a multinomial probit model that incorporates the instrumental variable...

We propose to combine smoothing, simulations and sieve approximations to solve for either the integrated or expected value function in a general class of dynamic discrete choice (DDC) models. We use importance sampling to approximate the Bellman operators defining the two functions. The random...

Estimated labor supply functions are important tools when designing an optimal income tax or calculating the effect of tax reforms. It is therefore of large importance to use estimation methods that give reliable results and to know their properties. In this paper Monte Carlo simulations are...