Motivated by the slow diffusion of generic drugs and the increase in prices of brand-name drugs after generic entry, I incorporate consumer learning and consumer heterogeneity into an empirical dynamic oligopoly model. In the model, firms choose prices to maximize their expected total discounted...

In this paper I formulate and estimate an empirical dynamic oligopoly model that incorporates consumer learning, consumer heterogeneity and forward-looking firms. I apply this model to explain the evolution of pharmaceutical markets after patent expiration, and to address its related policy...

The main goal of this paper is to investigate the role of campaign fund in congressional careers. To achieve this goal, we specify a dynamic model of career decisions of a member of Congress. In particular, we model how the amount of campaign funds raised affects the probability of winning...

This paper develops and implements a practical simulation-based method for estimating dynamic discrete choice models. The method, which can accommodate lagged dependent variables, serially correlated errors, unobserved variables, and many alternatives, builds on the ideas of indirect inference....

This paper develops a new simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. The new approach can deal with the commonly encountered and widely discussed ``initial conditions problem,'' as well as the...