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

50 Pages Posted: 27 Jun 2007 Last revised: 23 Nov 2022

See all articles by Stephen Leider

Stephen Leider

University of Michigan, Stephen M. Ross School of Business

Markus M. Mobius

Microsoft Corporation - Microsoft Research New England; University of Michigan at Ann Arbor - School of Information; National Bureau of Economic Research (NBER)

Tanya Rosenblat

University of Michigan at Ann Arbor - School of Information

Quoc-Anh Do

Monash University - Department of Economics; Centre for Economic Policy Research (CEPR); CESifo (Center for Economic Studies and Ifo Institute)

Date Written: May 2007

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.

Suggested Citation

Leider, Stephen and Mobius, Markus M. and Mobius, Markus M. and Rosenblat, Tanya and Do, Quoc-Anh, Directed Altruism and Enforced Reciprocity in Social Networks: How Much is a Friend Worth? (May 2007). NBER Working Paper No. w13135, Available at SSRN: https://ssrn.com/abstract=989946

Stephen Leider

University of Michigan, Stephen M. Ross School of Business ( email )

701 Tappan Street
Ann Arbor, MI MI 48109
United States

HOME PAGE: http://www-personal.umich.edu/~leider/

Markus M. Mobius (Contact Author)

University of Michigan at Ann Arbor - School of Information ( email )

304 West Hall
550 East University
Ann Arbor, MI 48109-1092
United States

HOME PAGE: http://www.markusmobius.org

Microsoft Corporation - Microsoft Research New England ( email )

One Memorial Drive, 12th Floor
Office 12062
Cambridge, MA 02142
United States

HOME PAGE: http://www.markusmobius.org

National Bureau of Economic Research (NBER) ( email )

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

HOME PAGE: http://www.markusmobius.org

Tanya Rosenblat

University of Michigan at Ann Arbor - School of Information ( email )

304 West Hall
550 East University
Ann Arbor, MI 48109-1092
United States

HOME PAGE: http://www.tanyarosenblat.org

Quoc-Anh Do

Monash University - Department of Economics ( email )

Wellington Road
Clayton, Victoria 3
Australia

Centre for Economic Policy Research (CEPR) ( email )

London
United Kingdom

CESifo (Center for Economic Studies and Ifo Institute) ( email )

Poschinger Str. 5
Munich, DE-81679
Germany

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
68
Abstract Views
1,247
Rank
659,060
PlumX Metrics