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Learning with whom to Interact: A Public Good Game on a Dynamic Network
Greiff, Matthias
2013
Abstract
We use a public good game with rewards, played on a dynamic network, to illustrate how
self-organizing communities can achieve the provision of a public good without a central authority
or privatization. Given that rewards are given to contributors and that the choice
of whom to reward depends on social distance, free-riders will be excluded from rewards
and the (almost efficient) provision of a public good becomes possible. We review the related
experimental economics literature and illustrate how the model can be tested in the
laboratory.
Series
Etica & Politica / Ethics & Politics
XV (2013) 2
Publisher
EUT Edizioni Università di Trieste
Source
Matthias Greiff, "Learning with whom to Interact: A Public Good Game on a Dynamic Network", in: Etica & Politica / Ethics & Politics, XV (2013) 2, pp. 58–81
Languages
en
File(s)