Arbeitspapier

Conditional punishment: Descriptive social norms drive negative reciprocity

Is punishment of free riders driven by descriptive social norms of cooperation and punishment? We conduct experiments in which participants interact in a one-shot social dilemma with punishment. We study how punishment of free riders is influenced by behavior among members of a payoff-irrelevant reference group. Participants can condition punishment on either the level of cooperation or the level of punishment in the reference group, respectively reflecting descriptive norms of cooperation and punishment. We observe considerable heterogeneity in punishment behavior. Among punishers, the most common strategies are to increase punishment with higher levels of cooperation ("norm enforcement"), and to increase punishment with higher levels of punishment in the reference group ("conformist punishment"). By means of a simple dynamic model, we demonstrate that these conditional punishment strategies can substantially promote cooperation: conformist punishment helps cooperation to gain a foothold in a population, and norm enforcement helps to maintain cooperation at high levels. Our study illustrates how punishment is shaped by the social context, and highlights the potential of conditional punishment strategies to promote the emergence and maintenance of cooperation.

Sprache
Englisch

Erschienen in
Series: CeDEx Discussion Paper Series ; No. 2020-05

Klassifikation
Wirtschaft
Thema
Cooperation
peer punishment
decision-making experiment
sanctioning
online experiment
conditional strategies

Ereignis
Geistige Schöpfung
(wer)
Li, Xueheng
Molleman, Lucas
Van Dolder, Dennie
Ereignis
Veröffentlichung
(wer)
The University of Nottingham, Centre for Decision Research and Experimental Economics (CeDEx)
(wo)
Nottingham
(wann)
2020

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Li, Xueheng
  • Molleman, Lucas
  • Van Dolder, Dennie
  • The University of Nottingham, Centre for Decision Research and Experimental Economics (CeDEx)

Entstanden

  • 2020

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