We test the relationship between happiness and self-rated health in Italy. The analysis relies on a unique dataset collected through the administration of a questionnaire to a representative sample (n = 817) of the population of the Italian Province of Trento in March 2011. Based on probit...

This paper contributes to the literature by carrying out the first econometric investigation into the role of television in the formation of political consensus in Italy. Based on probit and instrumental variables estimates, we find trust in television to be the most significant predictor of...

This paper presents the first empirical assessment of the causal relationship between social capital and health in Italy. The analysis draws on the 2000 wave of the Multipurpose Survey on Household conducted by the Italian Institute of Statistics on a representative sample of the population (n =...

This paper presents the first empirical assessment of the causal relationship between social capital and health in Italy. The analysis draws on the 2000 wave of the Multipurpose Survey on Household conducted by the Italian Institute of Statistics on a representative sample of the population (n =...

This paper contributes to the literature by carrying out the first econometric investigation into the role of television in the formation of political consensus in Italy. Based on probit and instrumental variables estimates, we find trust in television to be the most significant predictor of...

This paper contributes to the literature by carrying out the first econometric investigation into the role of television in the formation of political consensus in Italy. Based on probit and instrumental variables estimates, we find trust in television to be the most significant predictor of...

This paper contributes to the literature by carrying out the first econometric investigation into the role of television in the formation of political consensus in Italy. Based on probit and instrumental variables estimates, we find trust in television to be the most significant predictor of...