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...

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...

This paper re-examines the relationship between per capita income, inequality, and per capita emissions while accounting for nonhomotheticity in green preferences and nonlinearities in the impact of economic growth on GHG emissions. Theoretically, our research is motivated by the fact that if...

This paper proposes different methods to aggregate heterogeneous policies for renewable energy. We compare time-varying indicators built using principal component analysis with average-based indicators. The main goal of the paper is to account for the evolution of both types of policy indicators...

This paper proposes different methods to aggregate heterogeneous policies for renewable energy. We compare time-varying indicators built using principal component analysis with average-based indicators. The main goal of the paper is to account for the evolution of both types of policy indicators...

We analyse the impact of market liberalisation on renewable energy policies in OECD countries. To this end, we first develop an aggregated indicator of renewable energy policies using principal components analysis and then examine its determinants through panel datatechniques. Our resultsare...

This paper proposes different methods to aggregate heterogeneous policies for renewable energy. We compare time-varying indicators built using principal component analysis with average-based indicators. The main goal of the paper is to account for the evolution of both types of policy indicators...

This paper proposes different methods to aggregate heterogeneous policies for renewable energy. We compare time-varying indicators built using principal component analysis with average-based indicators. The main goal of the paper is to account for the evolution of both types of policy indicators...