IDEAS home Printed from https://ideas.repec.org/p/uai/wpaper/wp_024.html

Dynamic Contracts Under Loss Aversion

Author

Listed:

Abstract

We analyze a dynamic moral hazard principal-agent model with an agent who is lossaverse and whose reference updates according to the previous period’s consumption.When there is full commitment and the agent has no access to credit, in every periodafter the first the optimal payment scheme is insensitive to the current outcome in an interval,offering to pay the reference for a set of performance measures. Therefore, thereis a positive probability of observing wage persistence even if outcomes vary over time.Moreover, the model predicts a “status quo bias†–a preference for consuming the fullallocation if the agent is allowed to intertemporally reallocate consumption after the outcomeis realized. This result in turn implies that unlike the canonical model, the optimalcontract may be implemented even when the agent has access to a savings technology.We use subdifferential calculus to address the non-differentiable utility function.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Andrea Repetto & Alejandro Jofré & Sofía Moroni, 2012. "Dynamic Contracts Under Loss Aversion," Working Papers wp_024, Adolfo Ibáñez University, School of Government.
  • Handle: RePEc:uai:wpaper:wp_024
    as

    Download full text from publisher

    File URL: http://www.uai.cl/RePEc/uai/wpaper/wp_024.pdf
    Download Restriction: no
    ---><---

    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. Macera, Rosario, 2018. "Intertemporal incentives under loss aversion," Journal of Economic Theory, Elsevier, vol. 178(C), pages 551-594.
    3. Ho, Hoa, 2021. "Loss Aversion, Moral Hazard, and Stochastic Contracts," Discussion Papers in Economics 75307, University of Munich, Department of Economics.

    More about this item

    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:uai:wpaper:wp_024. 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: Claudio A Agostini (email available below). General contact details of provider: https://edirc.repec.org/data/ipuaicl.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.