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Recommending teams promotes prosocial lending in online microfinance.
Ai, Wei; Chen, Roy; Chen, Yan; Mei, Qiaozhu; Phillips, Webb.
Afiliación
  • Ai W; School of Information, University of Michigan, Ann Arbor, MI 48109.
  • Chen R; Department of Economics, National University of Singapore, Singapore 117570.
  • Chen Y; School of Information, University of Michigan, Ann Arbor, MI 48109; yanchen@umich.edu.
  • Mei Q; Department of Economics, School of Economics and Management, Tsinghua University, Beijing 100084, China.
  • Phillips W; School of Information, University of Michigan, Ann Arbor, MI 48109.
Proc Natl Acad Sci U S A ; 113(52): 14944-14948, 2016 12 27.
Article en En | MEDLINE | ID: mdl-27974610
ABSTRACT
This paper reports the results of a large-scale field experiment designed to test the hypothesis that group membership can increase participation and prosocial lending for an online crowdlending community, Kiva. The experiment uses variations on a simple email manipulation to encourage Kiva members to join a lending team, testing which types of team recommendation emails are most likely to get members to join teams as well as the subsequent impact on lending. We find that emails do increase the likelihood that a lender joins a team, and that joining a team increases lending in a short window (1 wk) following our intervention. The impact on lending is large relative to median lender lifetime loans. We also find that lenders are more likely to join teams recommended based on location similarity rather than team status. Our results suggest team recommendation can be an effective behavioral mechanism to increase prosocial lending.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2016 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2016 Tipo del documento: Article