It’s my turn: empirical evidence of upstream indirect reciprocity in society through a quasi-experimental approach

Shinya Obayashi (), Misato Inaba, Tetsushi Ohdaira and Toko Kiyonari
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Shinya Obayashi: Aoyama Gakuin University
Misato Inaba: Kindai University
Tetsushi Ohdaira: Aoyama Gakuin University
Toko Kiyonari: Aoyama Gakuin University

Journal of Computational Social Science, 2023, vol. 6, issue 2, No 23, 1055-1079

Abstract: Abstract This study estimated the effect of receiving help during a disaster on an individual’s subsequent cooperation for a common-pool resource. Such a chain of altruism is called generalized exchange and upstream indirect reciprocity in exchange and cooperation theories. Theoretical studies have pointed out its importance in understanding human cooperation in society. Some researchers on disaster have observed the phenomenon called “disaster area relay”, where disaster victims, having received help during the disaster they experienced, in turn, help victims of another subsequent disaster. However, there are few empirical and systematic analyses of this in actual societal events due to the causal problem. This paper attempted to overcome this problem through a quasi-experimental approach using big data. This paper focused on mutual cooperation through “Free Tank”, which is a common-pool resource in the online community called “mineo-KINGDOM”. The result of difference-in-differences estimation showed that receiving help during a disaster had a positive causal impact on subsequent cooperation for a common-pool resource and reciprocity norm. This result provides assurance that helping has a potential ripple effect on individuals’ cooperation.

Keywords: Upstream indirect reciprocity; Generalized exchange; Natural experiment; Online community (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s42001-023-00221-y

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