Literature DB >> 22289303

Reciprocity: weak or strong? What punishment experiments do (and do not) demonstrate.

Francesco Guala1.   

Abstract

Economists and biologists have proposed a distinction between two mechanisms--"strong" and "weak" reciprocity--that may explain the evolution of human sociality. Weak reciprocity theorists emphasize the benefits of long-term cooperation and the use of low-cost strategies to deter free-riders. Strong reciprocity theorists, in contrast, claim that cooperation in social dilemma games can be sustained by costly punishment mechanisms, even in one-shot and finitely repeated games. To support this claim, they have generated a large body of evidence concerning the willingness of experimental subjects to punish uncooperative free-riders at a cost to themselves. In this article, I distinguish between a "narrow" and a "wide" reading of the experimental evidence. Under the narrow reading, punishment experiments are just useful devices to measure psychological propensities in controlled laboratory conditions. Under the wide reading, they replicate a mechanism that supports cooperation also in "real-world" situations outside the laboratory. I argue that the wide interpretation must be tested using a combination of laboratory data and evidence about cooperation "in the wild." In spite of some often-repeated claims, there is no evidence that cooperation in the small egalitarian societies studied by anthropologists is enforced by means of costly punishment. Moreover, studies by economic and social historians show that social dilemmas in the wild are typically solved by institutions that coordinate punishment, reduce its cost, and extend the horizon of cooperation. The lack of field evidence for costly punishment suggests important constraints about what forms of cooperation can or cannot be sustained by means of decentralised policing.

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Year:  2012        PMID: 22289303     DOI: 10.1017/S0140525X11000069

Source DB:  PubMed          Journal:  Behav Brain Sci        ISSN: 0140-525X            Impact factor:   12.579


  71 in total

1.  Democratic decisions establish stable authorities that overcome the paradox of second-order punishment.

Authors:  Christian Hilbe; Arne Traulsen; Torsten Röhl; Manfred Milinski
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-23       Impact factor: 11.205

2.  Direct and indirect punishment among strangers in the field.

Authors:  Loukas Balafoutas; Nikos Nikiforakis; Bettina Rockenbach
Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-27       Impact factor: 11.205

3.  The evolution of anti-social rewarding and its countermeasures in public goods games.

Authors:  Miguel dos Santos
Journal:  Proc Biol Sci       Date:  2015-01-07       Impact factor: 5.349

4.  Punishment sustains large-scale cooperation in prestate warfare.

Authors:  Sarah Mathew; Robert Boyd
Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-13       Impact factor: 11.205

5.  Does dishonesty really invite third-party punishment? Results of a more stringent test.

Authors:  Naoki Konishi; Yohsuke Ohtsubo
Journal:  Biol Lett       Date:  2015-05       Impact factor: 3.703

6.  Selective Cooperation in the Supermarket : Field Experimental Evidence for Indirect Reciprocity.

Authors:  Florian Lange; Frank Eggert
Journal:  Hum Nat       Date:  2015-12

7.  Third-party punishment as a costly signal of trustworthiness.

Authors:  Jillian J Jordan; Moshe Hoffman; Paul Bloom; David G Rand
Journal:  Nature       Date:  2016-02-25       Impact factor: 49.962

8.  Monopolizing Sanctioning Power under Noise Eliminates Perverse Punishment But Does Not Increase Cooperation.

Authors:  Sven Fischer; Kristoffel Grechenig; Nicolas Meier
Journal:  Front Behav Neurosci       Date:  2016-09-29       Impact factor: 3.558

9.  Self-Interest and the Design of Rules.

Authors:  Manvir Singh; Richard Wrangham; Luke Glowacki
Journal:  Hum Nat       Date:  2017-12

10.  Individual heterogeneity and costly punishment: a volunteer's dilemma.

Authors:  Wojtek Przepiorka; Andreas Diekmann
Journal:  Proc Biol Sci       Date:  2013-03-27       Impact factor: 5.349

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