Steven E. Finkel

Daniel Wallace Professor of Political Science

University of Pittsburgh

Steven E. Finkel is the Daniel H. Wallace Professor of Political Science at the University of Pittsburgh. His areas of expertise include comparative political behavior, public opinion, democratization, and quantitative methods. He is the author of Causal Analysis with Panel Data (Sage Publications, 1995) as well as over 40 articles on political participation, voting behavior, and civic education in new and established democracies. He received his PhD in 1984 in political science from the State University of New York at Stony Brook, and taught at the University of Virginia for 21 years before joining the Pittsburgh faculty in 2005. He held a joint appointment as Professor of Applied Quantitative and Qualitative Methods from 2005-2008 at the Hertie School of Governance in Berlin, Germany. From 2001 to 2018 he served as Chair of the University of Pittsburgh’s Department of Political Science.


  • Political behavior
  • Methodology
  • Civic Education


  • PhD in Political Science, 1984

    State University of New York at Stony Brook

Recent Publications

The Supply and Demand Model of Civic Education: Evidence from A Field Experiment in the Democratic Republic of Congo

Can democratic orientations and political participation in fragile democracies be fostered through civic education? Early evaluation …

Community Violence and Support for Violent Extremism: Evidence From the Sahel

This article examines the effects of exposure to communal violence on support for violent religious extremism. We argue that in …

Crime Victimization Increases Turnout: Evidence from Individual-Level Administrative Panel Data

What are the consequences of being the victim of crime for political participation? Previous studies report mixed results with respect …

The grapevine effect in sensitive data collection: examining response patterns in support for violent extremism

This study presents a pattern overlooked in previous research on measuring sensitive political outcomes: over the course of data …