Hate Trumps Love: The Impact of Political Polarization on Social Preferences
Exhibiting altruism toward and cooperativeness with others is a key ingredient for successful work relationships and managerial decision making. Rising political polarization creates a hazard because it ruptures this fabric and impedes the interaction of employees, especially across political isles....
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Veröffentlicht in: | Management science 2024-01, Vol.70 (1), p.1-31 |
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Sprache: | eng |
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Zusammenfassung: | Exhibiting altruism toward and cooperativeness with others is a key ingredient for successful work relationships and managerial decision making. Rising political polarization creates a hazard because it ruptures this fabric and impedes the interaction of employees, especially across political isles. This paper’s focus is to examine various behavioral-, belief-, and norm-based layers of (non)strategic decision making that are plausibly affected by polarization. I quantify this phenomenon via five preregistered studies in the context of Donald J. Trump, comprising 15 well-powered behavioral experiments and a diverse set of over 8,600 participants. To capture the pervasiveness of polarization, I contrast the findings with various political and nonpolitical identities. Overall, I consistently document strong heterogeneous effects: ingroup-love occurs in the
perceptional
domain (how close one feels toward others), whereas outgroup-hate occurs in the
behavioral
domain (how one helps/harms/cooperates with others). The rich setting also enables me to examine the mechanisms of observed intergroup conflict, which can be attributed to one’s grim expectations regarding cooperativeness of the opposing faction, rather than one’s
actual
unwillingness to cooperate. For the first time, the paper also tests whether popular behavioral interventions (defaults and norm-nudges) can reduce the detrimental impact of polarization in the contexts studied here. The tested interventions improve prosociality but are ineffective in closing the polarization gap.
This paper was accepted by Yan Chen, behavioral economics and decision analysis.
Funding:
This work was supported by Deutsche Forschungsgemeinschaft [Grant EXC 2126/1– 390838866].
Supplemental Material:
Data and the online appendix are available at
https://doi.org/10.1287/mnsc.2023.4701
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ISSN: | 0025-1909 1526-5501 |
DOI: | 10.1287/mnsc.2023.4701 |