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http://hdl.handle.net/10419/264469

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How Trump triumphed: Multi-candidate primaries with buffoons

[working paper]

Castanheira, Micael
Huck, Steffen
Leutgeb, Johannes
Schotter, Andrew

Corporate Editor
Wissenschaftszentrum Berlin für Sozialforschung gGmbH

Abstract

While people on all sides of the political spectrum were amazed that Donald Trump won the Republican nomination this paper demonstrates that Trump's victory was not a crazy event but rather the equilibrium outcome of a multi-candidate race where one candidate, the buffoon, is viewed as likely to sel... view more

While people on all sides of the political spectrum were amazed that Donald Trump won the Republican nomination this paper demonstrates that Trump's victory was not a crazy event but rather the equilibrium outcome of a multi-candidate race where one candidate, the buffoon, is viewed as likely to self-destruct and hence unworthy of attack. We model such primaries as a truel (a three-way duel), solve for its equilibrium, and test its implications in a laboratory experiment. We find that people recognize a buffoon when they see one and aim their attacks elsewhere with the unfortunate consequence that the buffoon has an enhanced probability of winning. This result is strongest amongst those subjects who demonstrate an ability to best respond suggesting that our results would only be stronger when the game is played by experts and for higher stakes.... view less

Keywords
United States of America; presidential election; candidacy; The Republicans (Germany); election campaign

Classification
Political Process, Elections, Political Sociology, Political Culture

Free Keywords
Trump, Donald; political primaries; truel

Document language
English

Publication Year
2022

City
Berlin

Page/Pages
56 p.

Series
Discussion Papers / Wissenschaftszentrum Berlin für Sozialforschung, Forschungsschwerpunkt Markt und Entscheidung, Abteilung Ökonomik des Wandels, SP II 2020-307r

Handle
http://hdl.handle.net/10419/264469

Status
Published Version; reviewed

Licence
Deposit Licence - No Redistribution, No Modifications


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.