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Learning with whom to Interact: A Public Good Game on a Dynamic Network

Year: 2013
Type: article
Abstract: We use a public good game with rewards, played on a dynamic network, to illustrate how \nself-organizing communities can achieve the provision of a public good without a central authority \nor privatization. Given that rewards are given to contributors and that the choice \nof whom to reward depends on social distance, free-riders will be excluded from rewards \nand the (almost efficient) provision of a public good becomes possible. We review the related \nexperimental economics literature and illustrate how the model can be tested in the \nlaboratory.
Language: English
Open Access status: green
OpenAlex ID: W1679754954
FWCI: 1.413
Cites: 35
Cited by: 5
Related to: 10