[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/oup/rfinst/v27y2014i2p617-661..html
   My bibliography  Save this article

Common Errors: How to (and Not to) Control for Unobserved Heterogeneity

Author

Listed:
  • Todd A. Gormley
  • David A. Matsa
Abstract
Controlling for unobserved heterogeneity (or "common errors"), such as industry-specific shocks, is a fundamental challenge in empirical research.This paper discusses the limitations of two approaches widely used in corporate finance and asset pricing research: demeaning the dependent variable with respect to the group (e.g., "industry-adjusting") and adding the mean of the group's dependent variable as a control. We show that these methods produce inconsistent estimates and can distort inference. In contrast, the fixed effects estimator is consistent and should be used instead. We also explain how to estimate the fixed effects model when traditional methods are computationally infeasible.

Suggested Citation

  • Todd A. Gormley & David A. Matsa, 2014. "Common Errors: How to (and Not to) Control for Unobserved Heterogeneity," The Review of Financial Studies, Society for Financial Studies, vol. 27(2), pages 617-661.
    • Handle: RePEc:oup:rfinst:v:27:y:2014:i:2:p:617-661.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rfs/hht047
    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

    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:27:y:2014:i:2:p:617-661.. 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.