IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/19640.html

Production Function Identification Under Imperfect Competition

Author

Listed:
  • Ackerberg, Daniel
  • De Loecker, Jan

Abstract

The presence of imperfect competition introduces distinct challenges when identifying, and estimating, production functions. We start by highlighting that some existing approaches to production function estimation cannot completely abstract away from the presence of imperfect competition in the product market. We then extend these existing approaches to accommodate some additional oligopoly models commonly used in empirical work by using a sufficient statistic approach, and show that the presence of such strategic interactions has important benefits in that they introduces additional exogenous variation that can help identify production functions. We study how to optimally leverage this exogenous variation, both with and without direct data on a firm’s competitors, and use Monte-Carlo experiments to 1) verify that the existence of strategic interactions can identify production functions that would not otherwise be identified, and 2) assess the extent to which what applied researchers observe about competition affects the precision of estimates based on this variation.

Suggested Citation

  • Ackerberg, Daniel & De Loecker, Jan, 2024. "Production Function Identification Under Imperfect Competition," CEPR Discussion Papers 19640, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:19640
    as

    Download full text from publisher

    File URL: https://cepr.org/publications/DP19640
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;

    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:cpr:ceprdp:19640. 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: CEPR (email available below). General contact details of provider: https://cepr.org/ .

    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.