This paper estimates local fiscal multipliers for green and non-green public works in Italian provinces, and disentangles the geographic and institutional heterogeneities behind them. I construct a fiscal shock by taking the variation of the difference between actual and budgeted spending, and I...

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...

We use quarterly panel data from the COME-HERE survey covering five European countries to analyse three facets of the experience of loneliness during the COVID-19 pandemic. First, in terms of prevalence, loneliness peaked in April 2020, followed by a U-shape pattern in the rest of 2020, and then...