In this paper, we derive a semiparametric estimation procedure for the sample selection model when some covariates are endogenous. Our approach is to augment the main equation of interest with a control function which accounts for sample selectivity as well as endogeneity of covariates. In...

Given a scalar random variable Y and a random vector X defined on the same probability space, the conditional distribution of Y given X can be represented by either the conditional distribution function or the conditional quantile function. To these equivalent representations correspond two...

This paper presents a counterfactual decomposition of the public–private gap on test scores obtained by 8th graders in Brazil. Quantile regression methods are used to obtain a characterization of the conditional distribution of scores, which is then used to build counterfactuals. The results...

This paper studies panel quantile regression models with individual fixed effects. We formally establish sufficient conditions for consistency and asymptotic normality of the quantile regression estimator when the number of individuals, n, and the number of time periods, T, jointly go to...

In this paper, we investigate the impact of informality on earnings inequality in Russia using the RLMS–HSE data for 2000–2010. We apply decompositions based on the recentered influence functions of unconditional quantiles. Our results confirm that informality increases the earnings...

Two alternative hypotheses – referred to as opportunity- and stigma-based behavior – suggest that the relationship between unemployment and crime also depends on preexisting local crime levels. In order to analyze conjectured nonlinearities between both variables, we are using quantile...

We compare the income and wage trajectories of women in rela- tion to their male partners before and after parenthood. Focusing on the within-couple gap allows us to control for both observed and unobserved attributes of the spouse and to estimate both short- and long-term eects of entering...

This paper proposes new ℓ1-penalized quantile regression estimators for panel data, which explicitly allows for individual heterogeneity associated with covariates. We conduct Monte Carlo simulations to assess the small sample performance of the new estimators and provide comparisons of new...

This paper investigates the relationship between emotion and European energy forward prices of oil, gas, coal and electricity during normal times and periods of extreme price movements relying on the biorhythm approach. To this end, we use the Seasonal Affective Disorder (SAD) variable to study...

Studies investigating the link between public employment and earnings inequality based on micro data typically make use of conditional quantile regressions. Such analysis reveals why earnings may be more or less dispersed among public-sector than private-sector workers, but does not allow...