Michael Ting

Focus areas: Political economy, American politics, organizational design, bureaucracy, elections 

Michael Ting''s primary research interest is in formal models of political institutions, with an emphasis on bureaucracy, elections and legislatures. Currently, he is pursuing projects including the relationship between institutions and distributive politics, election endorsements and the regulation of pharmaceuticals.

Professor Ting received his BS from the Massachusetts Institute of Technology, his MA from Harvard University and his PhD in political economics from the Stanford Graduate School of Business. Prior to joining the Department of Political Science and SIPA, he taught at the University of North Carolina at Chapel Hill.

Recent publications include:

• "Distributive Politics with Primaries," with James Snyder and Shigeo Hirano in the Journal of Politics (2009)
• "Whistleblowing," in the American Political Science Review (2008)
• "Regulatory Errors with Endogenous Agendas," with Daniel Carpenter in the American Journal of Political Science (2007)
• "Roll Calls, Party Labels, and Elections," with James Snyder in Political Analysis (2003)
• "Bargaining in Bicameral Legislatures: When and Why Does Malapportionment Matter?" with Stephen Ansolabehere and James Snyder in American Political Science Review (2003)
• "Recovering Behavioralism: Adaptively Rational Behavior with Endogenous Aspirations," with Jonathan Bendor and Daniel Diermeier in Computational Models in Political Economy (2003).

Education

• PhD in Political Economics, Stanford Graduate School of Business
• MA, Harvard University
• BS, Massachusetts Institute of Technology

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