Abstract We provide the first systematic assessment of data leakage issues in the use of machine learning on panel data. Our organising framework clarifies why …
On the (Mis)Use of Machine Learning With Panel Data

Università la Sapienza – Roma

Abstract We provide the first systematic assessment of data leakage issues in the use of machine learning on panel data. Our organising framework clarifies why …

(joint with Augusto Cerqua, Costanza Giannantoni and Marco Letta) Abstract We study the behavior of politicians when they have vast discretion over the allocation of …

(joint with Augusto Cerqua, Costanza Giannantoni and Marco Letta) Abstract This paper conducts a comprehensive study on the geographic and socioeconomic patterns associated with femicides …

Abstract Even though we live in the golden age of the Internet and social networks, the “idiot box” remains the primary and undisputed source of …

(joint with Mirko Crulli) Abstract The impact of local contexts on populist voting patterns is receiving more attention, after being initially underestimated in the research …

Abstract We evaluate the impact of a recent reform that sharply increased the salaries of Italian local politicians on electoral competition and the valence attributes …

Abstract Obtaining geocoded electoral results at precinct level can be challenging in many countries. In this study, we present two validated methodologies developed to overcome …

Abstract Through a survey experiment during the 2021 municipal elections of Rome, Italy, we evaluate the effects of a policy on political transparency that requires …

ABSTRACT International football matches are among the highest manifestations of national pride and unity that a country can have in peaceful times. However, some anecdotal …

Abstract We exploit the recent introduction of a law for political transparency to create a new dataset of all the 1076 candidacies for the European …