IDEAS home Printed from https://ideas.repec.org/a/oup/rfinst/v36y2023i4p1408-1463..html
   My bibliography  Save this article

A Quantitative Model of Dynamic Moral Hazard

Author

Listed:
  • Hengjie Ai
  • Dana Kiku
  • Rui Li
  • Stijn Van

Abstract

We develop an equilibrium model with moral hazard, which arises because some productivity shocks are privately observed by firm managers only. We characterize the optimal contract and its implications for firm size, growth, and managerial pay-performance sensitivity and exploit them to quantify the severity of the moral hazard problem. Our estimation suggests that unobservable shocks are relatively modest and account for about 10 of the total variation of firm output. Nonetheless, moral-hazard-induced incentive pay is quantitatively significant and accounts for 50 of managerial compensation. Eliminating moral hazard would result in about a 1 increase in aggregate output.

Suggested Citation

  • Hengjie Ai & Dana Kiku & Rui Li & Stijn Van, 2023. "A Quantitative Model of Dynamic Moral Hazard," The Review of Financial Studies, Society for Financial Studies, vol. 36(4), pages 1408-1463.
  • Handle: RePEc:oup:rfinst:v:36:y:2023:i:4:p:1408-1463.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rfs/hhac059
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    JEL classification:

    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation

    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:rfinst:v:36:y:2023:i:4:p:1408-1463.. 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://edirc.repec.org/data/sfsssea.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.