I am currently a PhD Candidate in Public Policy and Administration (All-But-Dissertation) at Bocconi University, where I am completing my dissertation under the supervision of F.C. Billari, G. Esping-Andersen, and R. Macmillan (Chair). My research interests are at the intersection of Political Sociology and Social Stratification. I am particularly interested in the relationship between the socio-economic inequalities and political participation with a focus on cohorts, which I explore in my dissertation: “Cohorts and Political Inequality”.
While the classic works on this relationship focus on SES and education level as the main predictors, I focus on young cohorts as key social groups, as they are at the heart of the dynamics that are changing the socio-economic landscape, such as the rise in income inequality, the emergence of precariat, and the expansion of education. My central argument is that these recent transformations in the social landscape are shaping the political behaviour of birth cohorts in different ways. This can be problematic, as the rise of political inequalities between cohorts could result in inequalities in policy responsiveness, generating socio-political tensions over welfare policies, e.g., pension vs. education spending. To investigate the relationship between macro-social phenomena, micro-social characteristics, and political participation, I develop in a first chapter a macro-micro approach rooted in the analytical sociology framework of Coleman (1986) and Hedström and Swedberg (1998). SubsequentIy, I apply it in three empirical chapters to study the political impact of different characteristics of cohorts: cohort size, generation membership and precariatness, and the intersections between cohort, education, and social class.
Throughout these chapters, I rely on quantitative methods as multilevel models with RE/FE and logistic regressions fit to large scale cross-national datasets such as the European Social Survey, and to longer datasets such as the National Election Studies for specific countries. I typically draw on datasets provided by the World Bank, the International Labour Organization, the Eurostat, and the OECD for the macro-level variables.