The purpose of this paper is to explore and evaluate smooth approximation methods for value functions. These approximation methods are increasingly important in numerical dynamic programming since they allow researchers to solve models with a multitude of continuous state variables. In this...

Games with asymmetric information play a prominent role in the theoretical literature of malpractice disputes. The common modeling framework in many papers is a game in extensive form which consists of two stages. In the first stage, one agent makes a settlement demand, and the other agent...

The purpose of the paper is to study the incentive and distributional consequences of income taxation in a dynamic model. The framework is estimated under a set of different identifying assumptions using parametric, non-parametric, and semi-parametric techniques. Based on the estimation results,...

This study investigates whether models of forward-looking behavior explain the observed patterns of heavy drinking and smoking of men in late middle age in the Health and Retirement Study better than myopic models. We develop and estimate a sequence of nested models which differ by their degree...

We develop a new dynamic general equilibrium model of firm location choice that can explain the observed sorting of firms by productivity and is consistent with the observed entry, exit, and relocation decisions of firms within an urban economy. We discuss existence of equilibrium of and...

We develop a general equilibrium model of the market for undergraduate higher education that captures the coexistence of public and private colleges, the large degree of quality differentiation among them, and the tuition and admission policies that emerge from their competition for students....

We study the effectiveness of magnet programs in an urban district that ration excess demand by admission lotteries. Differential attrition arises since students who lose the lottery are more likely to pursue options outside the school district than students who win the lottery. When students...