[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/28724.html
   My bibliography  Save this paper

Digital Collateral

Author

Listed:
  • Paul Gertler
  • Brett Green
  • Catherine Wolfram
Abstract
A new form of secured lending using “digital collateral” has recently emerged, most prominently in low- and middle-income countries. Digital collateral relies on lockout technology, which allows the lender to temporarily disable the flow value of the collateral to the borrower without physically repossessing it. We explore this new form of credit both in a model and in a field experiment using school-fee loans digitally secured with a solar home system. Securing a loan with digital collateral drastically reduces default rates (by 19 pp) and increases the lender’s rate of return (by 38 pp). Employing a variant of the Karlan and Zinman (2009) methodology, we decompose the total effect on repayment and find that roughly one-third is attributable to adverse selection, and two-thirds is attributable to moral hazard. In addition, access to digitally secured school-fee loans significantly increases school enrollment and school-related expenditures without detrimental effects to households’ balance sheet.

Suggested Citation

  • Paul Gertler & Brett Green & Catherine Wolfram, 2021. "Digital Collateral," NBER Working Papers 28724, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:28724
    Note: CF DEV ED
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w28724.pdf
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:28724. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.