This paper proposes a methodology to incorporate bivariate models in numerical computations of counterfactual distributions. The proposal is to extend the works of Machado and Mata (2005) and Melly (2005) using the grid method to generate pairs of random variables. This contribution allows...

Counterfactual distributions are important ingredients for policy analysis and decomposition analysis in empirical economics. In this article we develop modeling and inference tools for counterfactual distributions based on regression methods. The counterfactual scenarios that we consider...

We propose an Aitken estimator for Gini regression. The suggested A -Gini estimator is proven to be a U-statistics. Monte Carlo simulations are provided to deal with heteroskedasticity and to make some comparisons between the generalized least squares and the Gini regression. A Gini-White test...

In economics, rank-size regressions provide popular estimators of tail exponents of heavy-tailed distributions. We discuss the properties of this approach when the tail of the distribution is regularly varying rather than strictly Pareto. The estimator then over-estimates the true value in the...

This paper analyses the changes in inequality occurred during the period 1998 - 2005. A set of results are presented in order to contribute to a better understanding of the changes in inequality. The obtained results show that important distributive effects were hidden by the apparent observed...

Over the last three decades, wage inequality and the importance of the minimum wage presented an interesting negative correlation in Portugal. Using a semiparametric approach, counterfactual decomposition methods, and an extremely rich matched employer-employee dataset of all employees in the...

The Routine-Biased Technological Change (RBTC) has been called as a relatively novel technologybased explanation of social changes like job and wage polarization. In this paper we investigate the wage inequality between routine and non-routine workers along the wage distribution in Italy. Thanks...

This paper aims to analyze the hourly gender wage gap between men and women in Mexico for the period 2005-2020. To this end, a number of variables is selected to reflect workers' human capital, household circumstances and workplace characteristics; then, a novel non-parametric method decomposes...

While there is a broad consensus in the literature that there is a positive correlation between Internet usage and labor income in the richest countries, this link has not been proven in the developing world. This paper uses propensity score matching techniques and household survey data to...

Using data from the German Structure of Earnings Survey (GSES), this paper studies the role of changes in working hours for the increase in male and female earnings inequality between 2001 and 2010. We provide both classic decompositions of the variance of log earnings into the variances of...