Publication Type
Journal Article
Version
acceptedVersion
Publication Date
11-2009
Abstract
We conducted online field experiments in large real-world social networks in order to decompose prosocial giving into three components: (1) baseline altruism toward randomly selected strangers, (2) directed altruism that favors friends over random strangers, and (3) giving motivated by the prospect of future interaction. Directed altruism increases giving to friends by 52% relative to random strangers, whereas future interaction effects increase giving by an additional 24% when giving is socially efficient. This finding suggests that future interaction affects giving through a repeated game mechanism where agents can be rewarded for granting efficiency-enhancing favors. We also find that subjects with higher baseline altruism have friends with higher baseline altruism.
Keywords
modified dictator games, directed altruism, enforced reciprocity, social networks
Discipline
Behavioral Economics
Research Areas
Applied Microeconomics
Publication
Quarterly Journal of Economics
Volume
124
Issue
4
First Page
1815
Last Page
1851
ISSN
0033-5533
Identifier
10.1162/qjec.2009.124.4.1815
Publisher
Oxford University Press
Citation
LEIDER, Stephen; MOBIUS, Markus M.; ROSENBLAT, Tanya; and DO, Quoc-Anh.
Directed Altruism and Enforced Reciprocity in Social Networks. (2009). Quarterly Journal of Economics. 124, (4), 1815-1851.
Available at: https://ink.library.smu.edu.sg/soe_research/1225
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1162/qjec.2009.124.4.1815