Jeffrey Harden

Expertise

• Survey Research
• Multilevel Data
• Model Selection
• Simulation/Resampling Methods
• R Programming

Education

• Ph.D. Candidate, Political Science, University of North Carolina at Chapel Hill
• M.A., Political Science, 2009, University of North Carolina at Chapel Hill
• B.A., Political Science, 2007, University of Illinois at Urbana-Champaign

Jeffrey Harden is a graduate student in the Department of Political Science at the University of North Carolina at Chapel Hill.  He has published articles on multilevel resampling methods, out-of-sample model selection, and aggregate analysis of survey data.  

Current research includes work on model selection via Bayes Factor approximations and sample-based tests of robust regression methods. His applied research focuses on the supply and demand of political representation in the United States. He has taught introductory courses on data analysis in R and typesetting in LaTeX at UNC's Odum Institute for Research in Social Science since 2010.  

Jeffrey's work at the center focuses on the interaction of wealth, homeownership, and race.