IDEAS home Printed from https://ideas.repec.org/a/aea/aejmic/v7y2015i3p174-204.html

Referrals: Peer Screening and Enforcement in a Consumer Credit Field Experiment

Author

Listed:
  • Gharad Bryan
  • Dean Karlan
  • Jonathan Zinman

Abstract

Empirical evidence on peer intermediation lags behind both theory and practice in which lenders use peers to mitigate adverse selection and moral hazard. Using a referral incentive under individual liability, we develop a two-stage field experiment that permits separate identification of peer screening and enforcement. Our key contribution is to allow for borrower heterogeneity in both ex ante repayment type and ex post susceptibility to social pressure. Our method allows identification of selection on repayment likelihood, selection on susceptibility to social pressure, and loan enforcement. Implementing our method in South Africa we find no evidence of screening but large enforcement effects. (JEL D14, D82, G21, O12, O16)

Suggested Citation

  • Gharad Bryan & Dean Karlan & Jonathan Zinman, 2015. "Referrals: Peer Screening and Enforcement in a Consumer Credit Field Experiment," American Economic Journal: Microeconomics, American Economic Association, vol. 7(3), pages 174-204, August.
    • Handle: RePEc:aea:aejmic:v:7:y:2015:i:3:p:174-204
    Note: DOI: 10.1257/mic.20130234
    as

    Download full text from publisher

    File URL: http://www.aeaweb.org/articles.php?doi=10.1257/mic.20130234
    Download Restriction: no
    File URL: http://www.aeaweb.org/aej/mic/ds/0703/2013-0234_ds.zip
    Download Restriction: no
    File URL: http://www.aeaweb.org/aej/mic/data/0703/2013-0234_data.zip
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marup Hossain & Conner Mullally, 2022. "Using evaluation data to predict loan performance among poor borrowers: The case of BRAC’s asset transfer and microcredit programmes," Development Policy Review, Overseas Development Institute, vol. 40(3), May.
    2. Biener, Christian & Eling, Martin & Landmann, Andreas & Pradhan, Shailee, 2018. "Can group incentives alleviate moral hazard? The role of pro-social preferences," European Economic Review, Elsevier, vol. 101(C), pages 230-249.
    3. Cai, Yong & Rafi, Ahnaf, 2024. "On the performance of the Neyman Allocation with small pilots," Journal of Econometrics, Elsevier, vol. 242(1).
    4. Afridi, Farzana & Dhillon, Amrita & Sharma, Swati, 2024. "The ties that bind us: Social networks and productivity in the factory," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 470-485.
    5. Moina Rauf & Zahid Pervaiz, 2016. "Replacing Contracts with Handshakes: A Study of Social Networks of Entrepreneurs in the Weaving Sector," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(4), pages 331-348.
    6. Gunnsteinsson, Snaebjorn, 2020. "Experimental identification of asymmetric information: Evidence on crop insurance in the Philippines," Journal of Development Economics, Elsevier, vol. 144(C).
    7. M. Ali Choudhary & Anil K. Jain, 2022. "Credit access and relational contracts: An experiment testing informational and contractual frictions for Pakistani farmers," International Finance Discussion Papers 2022, Board of Governors of the Federal Reserve System (U.S.).
    8. Thorsten Beck & Patrick Behr, 2017. "Individual versus Village Lending: Evidence from Montenegro," Review of Development Economics, Wiley Blackwell, vol. 21(4), pages 67-87, November.
    9. Guido Friebel & Matthias Heinz & Mitchell Hoffman & Nick Zubanov, 2023. "What Do Employee Referral Programs Do? Measuring the Direct and Overall Effects of a Management Practice," Journal of Political Economy, University of Chicago Press, vol. 131(3), pages 633-686.
    10. Emily Breza & Arun G. Chandrasekhar, 2015. "Social Networks, Reputation and Commitment: Evidence from a Savings Monitors Experiment," NBER Working Papers 21169, National Bureau of Economic Research, Inc.

    More about this item

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aea:aejmic:v:7:y:2015:i:3:p:174-204. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.