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Joseph Bafumi

Joe BafumiAssistant Professor of Government
Silsby 225
Joseph.Bafumi@dartmouth.edu

B.A., University of Connecticut
M.A., University of Connecticut
M.Phil., Ph.D., Columbia University

Click here to view my C.V.

Recent Publications

  • “Preference Aggregation, Representation and Elected American Political Institutions.” coauthored with Michael Herron, (Under Review) American Political Science Review.

  • “International Polarity and Domestic Polarization: Explaining American Disunity.” coauthored with Joseph Parent  (Under Review) Perspectives on Politics.

  • “Ideological Balancing, Generic Polls and Midterm Congressional Elections.” coauthored with Robert S. Erikson and Christopher Wlezien (Under Review) Journal of Politics.

  • “Animal Spirits: The Effect of Economic Sentiment on Economic Output and Politics.” (Under Review) Applied Economics.

  • “A New Partisan Voter.” coauthored with Robert Y. Shapiro, Forthcoming, Journal of Politics

  • “Forecasting House Seats from Generic Congressional Polls.” Robert Erikson and Christopher Wlezien.  In F.J. Scheuren and Wendy Alvey (eds.), Elections and Exit Polling. New York: Wiley. 2008.

  • "Correspondence:  Of Polarity and Polarization." coauthored with Joseph Parent, International Security. 33: 170-173.

  • Red State, Blue State, Rich State, Poor State. Andrew Gelman with  David K. Park, Boris Shor, Joseph Bafumi and Jeronimo Cortina.  Princeton University Press. 2008.

  • "Rich State, Poor State, Red State, Blue State.  what's the Matter with Connecticut?" coauthored with Andrew Gelman, boris Shor and David K. Park. Quarterly Journal of Political Science 2:345-367. 2007.

  • “A Bayesian Multilevel Approach to Time Series Cross-Sectional Data.” coauthored with Boris Shor, Luke Keele and David K. Park, Political Analysis 15: 165-181. 2007.

 

Research Interests

  • American Government: Electoral Behavior, Ideology, Public Opinion; Supreme Court, Public Policy, Representation
  • Political Methodology: Research Design; Bayesian Inference; Multilevel Modeling; Time Series; Ideal Point Estimation; Factor Analysis

Teaches

 

Last Updated: 1/15/09