F. Daniel Hidalgo

F. Daniel Hidalgo

Cecil and Ida Green Associate Professor of Political Science

CV (pdf)

Latin America; political institutions; representation; accountability; clientelism; causal inference; elections.


F. Daniel Hidalgo is the Cecil and Ida Green Associate Professor of Political Science at the Massachusetts Institute of Technology. He received his doctorate in Political Science at the University of California at Berkeley and received a BA at Princeton University. Hidalgo is a past recipient of grants from the National Science Foundation, the Fulbright program, and the Experiments in Governance and Politics Network. His research focuses on the political economy of elections, campaigns, and representation in developing democracies, especially in Latin America, as well as quantitative methods in the social sciences. His work has appeared in journals such as the Journal of Politics, Review of Economic and Statistics and the American Journal of Political Science. His working paper “Voter Buying: Shaping the Electorate Through Clientelism” (with Simeon Nichter) received the Kellogg-Notre Dame Award for best paper in comparative politics.


Hidalgo's research focuses on political representation and electoral behavior in poor and middle-income democracies, as well as applied quantitative methods in the social sciences. His current substantive research interests include the political consequences of fraud-reducing electoral reforms, the politics of natural disasters, and the role of money in politics. Hidalgo's methodological interests focus on the statistics of causal inference and the application of machine learning techniques to new forms of political data, such as images and text.

Recent Publications

"Controlling the Airwaves: Incumbency Advantage and Community Radio in Brazil" (with Taylor Boas), American Journal of Political Science. Forthcoming.

"Economic Determinants of Land Invasions" (with Suresh Naidu, Simeon Nichter, and Neal Richardson), Review of Economics and Statistics 92:3. August 2010.


17.806 Quantitative Research Methods IV: Advanced Topics