This paper studies heterogeneity in the fiscal reaction function for European Union members by resorting to the unconditional quantile regression estimation. Based on annual observations spanning from 2005 to 2018, the results point to significant asymmetries concerning the fiscal response...

We use recent unconditional quantile regression methods (UQR) to study the distributive effects of education in Argentina. Standard methods usually focus on mean effects, or explore distributive effects by either making stringent modeling assumptions, and/or through counterfactual decompositions...

This paper examines the role of female occupational segregation on the gender wage gap across the entire wage distribution. Using the Ethiopian labor force survey, I employ unconditional quantile regression based on the recentered in uence function and correct sample selection issues that arise...

This paper studies heterogeneity in the fiscal reaction function for European Union members by resorting to the unconditional quantile regression estimation. Based on annual observations spanning from 2005 to 2018, the results point to significant asymmetries concerning the fiscal response...

En este trabajo utilizamos los más recientes métodos de regresión no condicionada por cuantiles (RNCQ) para estudiar los efectos distributivos de la educación en Argentina. Los métodos estándar se centran, por lo general, en efectos promedio o estudian los efectos distributivos ya sea...

Unconditional quantile regressions, as introduced by Firpo, Fortin, and Lemieux (2009), are a special case of Recentered Influence Functions (RIF) Regressions that can be used to relate how small changes in the distributions of explanatory variables affect an unconditional statistic of interest....

This paper examines the role of female occupational segregation on the gender wage gap across the entire wage distribution. Using the Ethiopian labor force survey, I employ unconditional quantile regression based on the recentered in uence function and correct sample selection issues that arise...

Proponents of class size reductions draw heavily on the results from Project STAR to support their initiatives. Adding to the political appeal of these initiative are reports that minority and economically disadvantaged students received the largest benefits from smaller classes. We extend this...

We use recent quantile regression methods (UQR) to study the distributive effects of education in Argentina. Standard methods usually focus in mean effects, or explore distributive effects by either making stringent modeling assumptions, and/or through counter-factual decompositions that...

We highlight the importance of randomisation bias, a situation where the process of participation in a social experiment has been affected by randomisation per se. We illustrate how this has happened in the case of the UK Employment Retention and Advancement (ERA) experiment, in which over one...