This paper employs United States Census data to study the occupational allocation ofimmigrants. The data reveal that the occupational shares of various ethnic groups havegrown drastically in regional labor markets over the period 1980 to 2000. We examine theextent to which this growth can be...

We use panel data from the US Health and Retirement Study 1992-2002 to estimate theeffect of self-assessed health limitations on active labor market participation of men aroundretirement age. Self-assessments of health and functioning typically introduce anendogeneity bias when studying the...

This paper analyzes the impact of changes in macroeconomic conditions on the income distribution in Spain. Using household data from the Encuesta Continuada de Presupuestos Familiares (ECPF) from 1985 to 1996, we disentangle the effect of aggregate variables on the income distribution by...

We analyze the role of selection bias in generating the changes in the observed distribution of female hourly wages in the United States using CPS data for the years 1975 to 2020. We account for the selection bias from the employment decision by modeling the distribution of the number of working...

This paper examines the phenomenon of occupational hierarchies among immigrant labor groups in the United States. Using census data for 1940-2011 we document the persistent ranking of immigrant labor groups in major metropolitan areas reflected by their position in the empirical distribution of...

This paper estimates the difference in academic performance of the oldest and youngest students in a given grade. We employ Queensland Department of Education school administration panel data for the population of state school students for the years 2008-2016. Academic performance is measured by...

We address the estimation of sample selection and endogenous treatment models with social interactions. To model the interaction between individuals in an internally consistent matter we employ a game theoretic approach based on the use of a discrete Bayesian game. We overcome the substantial...

We consider estimation of a dynamic distribution regression panel data model with heterogeneous coefficients across units. The objects of interest are functionals of these coefficients including linear projections on unit level covariates. We also consider predicted actual and stationary...

An innovation which bypasses the need for instruments when estimating endogenous treatment effects is identification via conditional second moments. The most general of these approaches is Klein and Vella (2010) which models the conditional variances semiparametrically. While this is attractive,...

This paper addresses the estimation of a semiparametric sample selection index model where both the selection rule and the outcome variable are binary. Since the marginal effects are often of primary interest and are difficult to recover in a semiparametric setting, we develop estimators for...