Michael Peress

Research

Michael Peress’ research interests include voting behavior, legislative institutions, electoral systems, methodology, and formal theory. He is currently working on a major project."Accuracy and Bias in Media Coverage of the Economy and Analysis of 16 Developed Democracies," this looks at media coverage of the economy and coverage of growth unemployment and inflation across 16 countries. Along with that he is currently researching the effects that television advertisements have on candidates in presidential primary elections and currently studying representation, campaign finance, political advertising, clientelism, economic voting, and media coverage of the economy

RECENT Publications - Articles

Measuring the Research Productivity of Political Science Departments using Google Scholar (PS: Political Science and Politics, 2019)

Dynamic Estimation of Ideal Points for the U.S. Congress (with Brandon Marshall) (Public Choice, 2018) (data)

Request Fulfilling: When Citizens Ask for Clientelist Benefits (with Simeon Nichter) (Comparative Political Studies, 2017) (online appendix) (data and replication code)

Targeting Political Advertising on Television (with Mitchell Lovett) (Quarterly Journal of Political Science, 2015) (online appendix) (data and replication code)

RECENT Publications - Forthcoming

Do Voters Know Enough to Punish Out-of-Step Congressional Candidates? (with Brandon Marshall) (Legislative Studies Quarterly, forthcoming ) (online appendix) (data and replication code)

Large Scale Ideal Point Estimation (Political Analysis, forthcoming) (data and replication code)

Accuracy and Bias in Media Coverage of the Economy: An Analysis of Sixteen Developed Democracies (with Mark Kayser) (Quarterly Journal of Political Science, forthcoming)

How Many Seats in Congress is Control of Restricting Worth? (with Yangzi Zhao) (Legislative Studies Quarterly, forthcoming) (online appendix) (data and replication code)

Benchmarking Across Border: An Update and Response (with Mark Kayser) (British Journal of Political Science, forthcoming) (data and replication code)

Teaching

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