We propose a new methodology for structural estimation of dynamic discrete choice models. We combine the Dynamic Programming (DP) solution algorithm with the Bayesian Markov Chain Monte Carlo algorithm into a single algorithm that solves the DP problem and estimates the parameters...

This paper explores the natural resource consumption behavior of a competitively determined economy relative to a socially planned benchmark when agents are characterized as having finite lifespans which overlap. A general equilibrium model of a production economy which uses inputs from a finite...

This paper develops a framework for analyzing the outcome of experiments carried out on forward-looking subjects. Natural experiments, unexpected policy changes, and true experiments are all included in the framework as special cases. These concepts are defined in conjunction with explicit...