e-maildferrari@umich.edu | CV

I am a political methodologist and comparativist with expertise in OECD and Latin America countries. My research interests lie on the intersection of political methodology, micro- and macro-foundations political behavior, and the comparative political economy of distributive politics. My work is published or forthcoming at a number of journals, including Political Analysis and Publius. You can find a sample of my published and current working papers here.

My research in political methodology focuses on machine learning, semi-parametric Bayesian statistics, and computational methods. In particular, I have worked with hierarchical semi-parametric models for density estimation and to deal with latent interactive effects in experimental and observational studies in comparative analyses. See more details here.

Theoretically, I combine political sociology and political economy approaches to study the micro- and macro-foundation of political behavior, including (1) polarization of public policy preferences, ideology, and partisanship, (2) normative opinions about economic inequality and social inclusion, and (3)¬†how the informational dimension of politics interacts with ideological positions and people’s socioeconomic conditions to shape political attitudes. I have conducted national surveys and survey experiments to evaluate how information about the state of the economy, causes of inequality, and demand of different groups for redistribution impact attitudes about welfare policies and integration in multilevel polities. See my research page for more details.

(*) That sentence at the top of the page is inspired in Samuel Butler‘s words: “Life is the art of drawing sufficient conclusions from insufficient premises”.

Department of Political Science
University of Michigan
505 South State St
Ann Arbor, Michigan 48109