This paper demonstrates two important results related to the estimation of a competing risks model under the proportional hazards assumption with grouped duration data, a model that has become the canonical model for the termination of mortgages with prepayment and default as two competing...

This paper demonstrates two important results related to the estimation of a competing risks model under the proportional hazards assumption with grouped duration data, a model which has become the canonical model for the termination of mortgages with prepayment and default as two competing...

This paper studies aspects of the broad class of log-concave probability distributions that arise in the economics of uncertainty and information. Useful properties of univariate log-concave distributions are proven without imposing differentiability of density functions. We also discuss...

In this paper we study the configuration dynamics and the societal equilibrium selection of repeated lattice games. Each player plays games only with his immediate neighbors hence indirectly interacts with everyone else. A player may or may not have perfect control over his action. Different...

In this paper we propose a mixture model of willingness to pay distributions for contingent valuation studies. By allowing a point mass at zero, this model nests the conventional model as a special case. We discuss both parametric and nonparametric estimations of the mixture model. We consider...

This paper studies the estimation of a semiparametric bivariate proportional hazard model from grouped event time data. As a direct generalization of the bivariate exponential distribution of Marshall and Olkin, the model, on the one hand, controls for the effects of observed covariates, and on...

In the econometric analysis of labor market transitions, the data generating process is often specified as a continuous-time semi-Markovian process with a finite state space. With typically short panel data, analysts have long been concerned with the initial conditions problem: a complication...

This paper specifies an estimable dynamic model of sequential discrete choices in a controlled jump-process framework. We study sufficient conditions under which the agent's optimal policy is stationary. We show that the observable event histories at the micro-level are sample paths of a...

A new class of regression type models termed essentially linear models is proposed. The class is characterized by geometric considerations. Within the class the distribution of the maximum likelihood estimator is easily approximated by a natural extension of the pstar-formula even though the MLE...

The most popular survey method used in contingent valuations asks "open-ended" dichotomous choice questions. This method generates grouped or interval-censored data on respondents' willingness to pay. This paper specifies the willingness to pay distribution using the proportional hazard...