How beautiful people see the world: Cooperativeness judgments of and by beautiful people

Adam Zylbersztejn (), Zaharia Babutsidze, Nobuyuki Hanaki and Astrid Hopfensitz
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Adam Zylbersztejn: UL2 - Université Lumière - Lyon 2, GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - UL2 - Université Lumière - Lyon 2 - UJM - Université Jean Monnet - Saint-Étienne - EM - EMLyon Business School - CNRS - Centre National de la Recherche Scientifique, UW - Uniwersytet Warszawski [Polska] = University of Warsaw [Poland] = Université de Varsovie [Pologne]
Zaharia Babutsidze: SKEMA Business School - SKEMA Business School

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Abstract: Perceived beauty is one of the strongest predictors of perceived cooperativeness, causing the "beauty bias". Through a large three-stage incentivized behavioral and rating experiment (N=357), we study (1) the beauty bias in incentivized predictions of cooperativeness and (2) the ex-post relevance of beauty ratings for predicting cooperativeness in an incentivized game. We additionally (3) investigate if one's beauty influences the beauty bias in predictions of cooperativeness of others. Our findings demonstrate the robustness of the beauty bias and its irrelevance for making accurate predictions. We further observe that individuals are affected by the beauty bias irrespective of their beauty. Overall, the results highlight the importance of strong institutions that protect individuals from falling prey to the beauty bias.

Keywords: Cooperation; Beauty; Perception; Experiment (search for similar items in EconPapers)
Date: 2024-02-01
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Published in Journal of Economic Behavior and Organization, 2024, 218, 296-308 p. ⟨10.1016/j.jebo.2023.12.020⟩

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Journal Article: How beautiful people see the world: Cooperativeness judgments of and by beautiful people (2024)
Working Paper: How beautiful people see the world: Cooperativeness judgments of and by beautiful people (2023)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04357266

DOI: 10.1016/j.jebo.2023.12.020

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