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Free Riders and Cooperators in Public Goods Experiments: Can Evolutionary Dynamics Explain their Coexistence?

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Author Info
Angelo Antoci ()
Paolo Russu
Luca Zarri ()

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Abstract

An oft-cited and robust result from Public Goods Game experiments is that, when subjects start playing, the aggregate level of contributions is significantly different from zero. At the same time, a sizeable proportion of players free ride from the outset. Behavioural economics has persuasively shown that these laboratory findings are compatible with the presence of motivationally heterogeneous agents, displaying both standard, self-centred preferences and non-standard, interdependent preferences. However, at the theoretical level, economists would prefer to account for motivational heterogeneity endogenously, instead of simply assuming it from the outset. Our work provides such endogenisation, by assuming that social evolution is driven by material payoffs only. By separately focusing on different types of ‘experimentally salient’ pro-social players (such as Reciprocators, Strong Reciprocators and Altruists), we are able to shed light – to our knowledge, for the first time, within the public good framework – on the evolutionary stability of two-type populations consisting of positive proportions of both ‘nice’ and ‘mean’ guys.

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File URL: http://dse.univr.it/RePEc/ver/Wpaper/WP54.pdf
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Publisher Info
Paper provided by Università di Verona, Dipartimento di Scienze economiche in its series Working Papers with number 54.

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Length: 23
Date of creation: May 2009
Date of revision:
Handle: RePEc:ver:wpaper:54

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Related research
Keywords: Free Riding; Strong Reciprocity; Altruism; Nonstrategic Punishment; Public Goods Game; Evolutionary Game Theory.;

Find related papers by JEL classification:
C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
D6 - Microeconomics - - Welfare Economics
H8 - Public Economics - - Miscellaneous Issues
Z1 - Other Special Topics - - Cultural Economics

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This page was last updated on 2009-11-6.


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