IDEAS home Printed from https://ideas.repec.org/a/oup/restud/v87y2020i2p870-913..html

Using Elasticities to Derive Optimal Bankruptcy Exemptions

Author

Listed:
  • Eduardo Dávila

Abstract

This article studies the optimal determination of bankruptcy exemptions for risk averse borrowers who use unsecured contracts but have the possibility of defaulting. In a large class of economies, knowledge of four variables is sufficient to determine whether a bankruptcy exemption level is optimal or should be increased or decreased. These variables are 1. the composition of households’ liabilities, 2. the sensitivity of the credit supply schedule to exemption changes, 3. the probability of filing for bankruptcy with non-exempt assets, and 4. the value given by households to a marginal dollar in different states, which can be mapped to changes in households’ consumption. I recover empirical estimates of the sufficient statistics using U.S. data over the period 2008–16 and find that increasing exemption levels improves overall welfare, although there is substantial variation in estimated welfare gains across U.S. states and income quintiles.

Suggested Citation

  • Eduardo Dávila, 2020. "Using Elasticities to Derive Optimal Bankruptcy Exemptions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(2), pages 870-913.
  • Handle: RePEc:oup:restud:v:87:y:2020:i:2:p:870-913.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/restud/rdz043
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    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. is not listed on IDEAS
    2. Neus Herranz & Stefan Krasa & Anne P. Villamil, 2017. "Entrepreneurs, legal institutions and firm dynamics," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 63(1), pages 263-285, January.
    3. David Sraer & David Thesmar, 2018. "A Sufficient Statistics Approach for Aggregating Firm-Level Experiments," NBER Working Papers 24208, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • D52 - Microeconomics - - General Equilibrium and Disequilibrium - - - Incomplete Markets
    • K35 - Law and Economics - - Other Substantive Areas of Law - - - Personal Bankruptcy Law
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance

    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:oup:restud:v:87:y:2020:i:2:p:870-913.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/restud .

    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.