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.

Language
Englisch

Bibliographic citation
Series: CeDEx Discussion Paper Series ; No. 2020-05

Classification
Wirtschaft
Subject
Cooperation
peer punishment
decision-making experiment
sanctioning
online experiment
conditional strategies

Event
Geistige Schöpfung
(who)
Li, Xueheng
Molleman, Lucas
Van Dolder, Dennie
Event
Veröffentlichung
(who)
The University of Nottingham, Centre for Decision Research and Experimental Economics (CeDEx)
(where)
Nottingham
(when)
2020

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

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

Time of origin

  • 2020

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