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Directed Altruism and Enforced Reciprocity in Social Networks: How Much is A Friend Worth?

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Author Info
Stephen Leider
Markus M. Möbius
Tanya Rosenblat
Quoc-Anh Do

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Abstract

We conduct field experiments in a large real-world social network to examine why decision makers treat friends more generously than strangers. Subjects are asked to divide surplus between themselves and named partners at various social distances, where only one of the decisions is implemented. In order to separate altruistic and future interaction motives, we implement an anonymous treatment where neither player is told at the end of the experiment which decision was selected for payment and a non-anonymous treatment where both players are told. Moreover, we include both games where transfers increase and decrease social surplus to distinguish between different future interaction channels including signaling one's generosity and enforced reciprocity, where the decision maker treats the partner to a favor because she can expect it to be repaid in the future. We can decompose altruistic preferences into baseline altruism towards any partner and directed altruism towards friends. Decision makers vary widely in their baseline altruism, but pass at least 50 percent more surplus to friends compared to strangers when decision making is anonymous. Under non-anonymity, transfers to friends increase by an extra 24 percent relative to strangers, but only in games where transfers increase social surplus. This effect increases with density of the network structure between both players, but does not depend on the average amount of time spent together each week. Our findings are well explained by enforced reciprocity, but not by signaling or preference-based reciprocity. We also find that partners' expectations are well calibrated to directed altruism, but that they ignore decision makers' baseline altruism. Partners with high baseline altruism have friends with higher baseline altruism and are therefore treated better.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 13135.

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Date of creation: May 2007
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Handle: RePEc:nbr:nberwo:13135

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Find related papers by JEL classification:
C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
D64 - Microeconomics - - Welfare Economics - - - Altruism

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  1. Daniela Di Cagno & Emanuela Sciubba, 2008. "Social Networks and Trust: not the Experimental Evidence you may Expect," Birkbeck Working Papers in Economics and Finance 0801, Birkbeck, School of Economics, Mathematics & Statistics. [Downloadable!]
  2. Jordahl, Henrik, 2007. "Inequality and Trust," Working Paper Series 715, Research Institute of Industrial Economics. [Downloadable!]
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