This paper provides a new estimation and solution method for a generalized class of sorting hedonic models based on discrete approximations of the distribution of housing quality. Our approach incorporates heterogeneity in preferences and treats quality as latent. Additionally, a housing market...

A central challenge in estimating models with heterogeneous housing is separating quality from price. We provide a new method for estimating hedonic functions for rental rates and housing values treating housing quality as unobserved by the econo- metrician. Our method also deals with the...

This paper extends the Laplace estimators proposed by Chernozhukov and Hong (2003) to incorporate the statistic that tests the overidentifying restrictions in the GMM. This information was previously ignored during parameter estimation in econometrics with Bayesian methods. The parameters and...

This paper studies implementation in a principal-agent model of adverse selection. We explore ways in which the additional structure of principal agent models (compared to general implementaion models) simplifies the implementation problem. We develop a connection between the single crossing...

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...

The evolution of education spending in California has received plenty of attention by both academics and practitioners after this state's education finance reform of the 1970's. The impact on public education spending of the demographic trends associated with immigration has not been thoroughly...

I propose a centralized clearinghouse for college admissions in which students can signal enthusiasm by commitment, like early-decision programs. Furthermore, students can specify financial aid in their preferences and they can be matched with multiple colleges at the same time. This...