France has the second largest population of countries in the EU. Since 2000, the French labor market has undergone substantial changes resulting from striking trends, some of which were catalyzed by the Great Recession and the Covid-19 crisis. The most interesting of these changes have been the...

New challenges arise in data visualization when the research involves a sizable database. With many data points, classical scatterplots are non-informative due to the cluttering of points. On the contrary, simple plots, such as the boxplot that are of limited use in small samples, offer great...

We estimate the effect of nonemployment experienced by Italian youth after leaving secondary school on subsequent labor market outcomes. We focus on the impact on earnings and labor market participation both in the short- and in the long-term, up to 25 years since school completion. By...

This paper presents a model where wage differences between men and women arise from taste-based discrimination and monopsonistic mechanisms. We show how preferences against women affect heterogeneity in firms' pay policies in the context of an imperfect labour market, deriving a test for the...

The Covid-19 pandemic has triggered simultaneously a global health crisis and a global economic crisis which have further deepened existing inequalities along several dimensions, including gender. Increasing gender inequalities in paid and unpaid work has been a primary outcome of the pandemic...

In this paper, we evaluate the effects of free pre-kindergarten (pre-K) programs on the labor force participation (LFP) of mothers. We use variation in pre-K rules across all US states, including income eligibility requirements in some states. To estimate the causal effects of access to pre-K on...

Latin America was one of the regions hardest hit by the COVID-19 pandemic. This paper analyses, from a dynamic and comparative perspective, labour transitions triggered by the pandemic in six Latin American countries: Argentina, Brazil, Costa Rica, Mexico, Paraguay, and Peru. Special attention...

This paper discusses pairing double/debiased machine learning (DDML) with stacking, a model averaging method for combining multiple candidate learners, to estimate structural parameters. We introduce two new stacking approaches for DDML: short-stacking exploits the cross-fitting step of DDML to...

This paper provides a critique of Faccini (2014) that allegedly shows that temporary contracts lead to lower unemployment in Europe. Using Faccini's data and his estimation methods, we show that the Fixed Effects estimation results collapse when we make slight alterations in the sample size or...