Marc Meredith is assistant professor of political science at the University of Pennsylvania. He received his PhD from the Stanford Graduate School of Business in 2008. Marc’s research examines the political economy of American elections, with a particular focus on the application of causal inference methods. His substantive research interests include election administration, local political institutions, political campaigns, and voter decision-making, particularly as it relates to economic conditions.
While at CSDP, Marc’s research agenda focuses on the causes and consequences of local political representation, with a particular emphasis on school board elections. How do the characteristics of local political representatives compare with their constituents? To what extent does the identity of local political representatives affect policy outcomes? What are the causes and consequences of local political competition? Marc plans to collect additional data, looking at: candidate’s aggregate vote totals; demographics of both winning and losing candidates; survey data of school board members to assess information that is not available from public records; and GIS data to link candidates to local education policies and outcomes.