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...

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...

Since vaccination is the decisive factor for controlling the COVID-19 pandemic, it is important to understand the process to vaccination success. We identify a variety of factors playing a crucial role including the availability of vaccines, pandemic pressures, economic strength (GDP),...

We investigate the influence of anti-immigrant parties on foreigners' location choices in Italy. Considering municipal elections from 2000 to 2018, we create a database that includes a scientific-based classification on the anti-/pro-immigration axis of all Italian political parties based on...