This paper investigates the relationship between intergenerational inequality and differences in pay policies among firms. We examine whether the effects of parental background in firm selection contribute to the persistence of income inequality across generations, and particularly how this can...

In this paper, we test the hypothesis that the causal effect of immigrant presence on anti-immigrant votes is a short-run effect. For this purpose, we consider a distributed lag model and adapt the standard instrumental variable approach proposed by Altonji and Card (1991) to a dynamic...

We present an exploratory machine learning analysis of populist votes at municipality level in the 2018 Italian general elections, in which populist parties gained almost 50% of the votes. Starting from a comprehensive set of local characteristics, we use an algorithm based on BIC to obtain a...

Feedback control-based mitigation strategies for COVID-19 are threatened by the time span occurring before an infection is detected in official data. Such a delay also depends on behavioral, technological and procedural issues other than the incubation period. We provide a machine learning...

Identifying structural breaks in the dynamics of COVID-19 contagion is crucial to promptly assess policies and evaluate the effectiveness of lockdown measures. However, official data record infections after a critical and unpredictable delay. Moreover, people react to the health risks of the...

Despite hiring credits being a long-standing labor market policy, evidence of their impact at the firm level is limited. This paper contributes to the existing literature by providing an empirical analysis of an untargeted hiring credits policy introduced in Italy in 2015. We implement the...