Este trabajo realiza un estudio sobre la relación de Kuznets para América Latina con el objetivo de caracterizar el cambio de la tendencia en la evolución reciente de sus indicadores de desigualdad de ingresos. Utilizando encuestas de hogares se construye un panel de regiones latinoamericanas...

In Latin America the inequality of income has declined in the 2000s. This study applies a variant of the noparametric decomposition methodology proposed by Barros et al. (2006, 2007) to assess the relevance of the households’ sources of income, focusing on the importance of public transfers,...

A new Stata command, xtsktest, is proposed to explore non-normalities in linear panel data models. The tests explore skewness and excess kurtosis allowing researchers to identify departures away from gaussianity in both error components of a standard panel regression, sepa- rately or jointly....

Este trabajo estudia la evolución de los indicadores de pobreza intertemporal en Argentina durante los últimos 15 años. Aprovechando el esquema de rotación de la EPH, se construyen paneles sucesivos durante el período 1997-2012 que permiten descomponer la pobreza en sus componentes crónico...

The 'paradox of progress' is an empirical regularity that associates more education with larger income inequality. Two driving and competing factors behind this phenomenon are the convexity of the 'Mincer equation' (that links wages and education) and the heterogeneity in its returns, as...

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...

This working paper explores the effect of joint labor decisions on the study of wage regression models. The estimation of Mincer equations suffers from numerous sources of bias, including the sample selection problem generated by the fact that the agent decision to work is not independent of the...