This paper uses state-level data on migration flows between Mexico and the U.S. from 1999 to 2011 to investigate the migration response to climate shocks and the mitigating impact of an agricultural cash-transfer program (PROCAMPO) and a disaster fund (Fonden). While lower than average...

A common observation is that individuals strive to neutralize the effect of procedural rules designed to drive choices away from their private optimum. An example of this phenomenon is offered by the reaction of Italian academia to two reforms that modified the procedures of recruitment and...

Using Italian data on standardized test scores, we show that the substantial heterogeneity in how performance changes with the position of questions can alter the rank of individuals and classes as the length of the test increases. We examine whether decomposing test scores into initial...

We use Italian municipality data on education and voter participation in national elections to estimate the effect of schooling on voter turnout. By adopting a fixed effect instrumental variable identification strategy, we find that education reduces voter turnout, more so in municipalities with...

We estimate the effect of the high school curriculum (or track) on the returns to college using data from the Italian PLUS (Participation Labour and Unemployment Survey) survey. We find that college graduates with vocational high school are less likely to be employed than graduates with academic...

While there is a vast literature considering the labour market effects of immigration, less has been done to investigate how immigration affects the educational choices of young natives. Using Italian provincial data and an instrumental variables strategy, we show that the recent increase in the...

In 2017 the Italian government established the Fund to Finance Basic Research Activities - FFABR - with the purpose of assigning a 3,000 euros research grant to the most productive applicants among eligible assistant and associate professors. We show that, rather surprisingly, many...