Abstract

 


 



How Can Bill and Melinda Gates Increase Other People's Donations to Fund Public Goods?


Dean S. Karlan


Yale University

John A. List


University of Chicago - Department of Economics; National Bureau of Economic Research (NBER); Institute for the Study of Labor (IZA)

March 2012

NBER Working Paper No. w17954

Abstract:     
We develop a simple theory which formally describes how charities can resolve the information asymmetry problems faced by small donors by working with large donors to generate quality signals. To test the model, we conducted two large-scale natural field experiments. In the first experiment, a charity focusing on poverty reduction solicited donations from prior donors and either announced a matching grant from the Bill and Melinda Gates Foundation, or made no mention of a match. In the second field experiment, the same charity sent direct mail solicitations to individuals who had not previously donated to the charity, and tested whether naming the Bill and Melinda Gates Foundation as the matching donor was more effective than not identifying the name of the matching donor. The first experiment demonstrates that the matching grant condition generates more and larger donations relative to no match. The second experiment shows that providing a credible quality signal by identifying the matching donor generates even more and larger donations than not naming the matching donor. Importantly, the treatment effects persist long after the matching period, and the quality signal is quite heterogeneous—the Gates’ effect is much larger for prospective donors who had a record of giving to “poverty-oriented” charities. These two pieces of evidence support our model of quality signals as a key mechanism through which matching gifts inspire donors to give.

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Number of Pages in PDF File: 15

working papers series


Date posted: March 31, 2012  

Suggested Citation

Karlan, Dean S. and List, John A., How Can Bill and Melinda Gates Increase Other People's Donations to Fund Public Goods? (March 2012). NBER Working Paper No. w17954. Available at SSRN: http://ssrn.com/abstract=2031962

Contact Information

Dean S. Karlan (Contact Author)
Yale University ( email )
Box 208269
New Haven, CT 06520-8269
United States
John A. List
University of Chicago - Department of Economics ( email )
1126 East 59th Street
Chicago, IL 60637
United States
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Institute for the Study of Labor (IZA)
P.O. Box 7240
Bonn, D-53072
Germany
Feedback to SSRN (Beta)


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