Professor Sokbae (Simon) Lee

This article is concerned with estimating the additive components of a nonparametric additive quantile regression model.

This paper is concerned with estimating the additive components of a nonparametric additive quantile regression model.

In this paper we examine the importance of heterogeneity and self-selection into schooling for the study of inequality.

This paper is concerned with identification of a competing risks model with unknown transformations of latent failure times.

The analysis in this paper is motivated by the controversial empirical findings and by recent developments in econometrics for partial identification.

This paper considers a linear triangular simultaneous equations model with conditional quantile restrictions.

This paper is concerned with estimating the additive components of a nonparametric additive quantile regression model.

This paper considers a panel duration model that has a proportional hazards specification with fixed effects.

This paper considers a panel duration model that has a proportional hazards specification with fixed effects.

This paper presents a method for estimating a class of panel data duration models, under which an unknown transformation of the duration variable is linearly related to the observed explanatory variables and the unobserved heterogeneity (or frailty) with completely known error distributions.

This paper is concerned with estimating a conditional quantile function that is assumed to be partially linear.

This paper considers a panel duration model that has a proportional hazards specification with fixed effects.

Much empirical research in economics and other fields is concerned with estimating the mean of a random variable conditional on one or more explanatory variables (conditional mean function).