IDEAS home Printed from https://ideas.repec.org/p/boc/dsug13/05.html
   My bibliography  Save this paper

Instrumental variables estimation using heteroskedasticity-based instruments

Author

Listed:
  • Christopher F Baum

    (Boston College
    DIW Berlin)

  • Arthur Lewbel

    (Boston College)

  • Mark E Schaffer

    (Heriot-Watt University)

  • Oleksandr Talavera

    (University of Sheffield)

Abstract

In a 2012 article in the Journal of Business and Economic Statistics, Arthur Lewbel presented the theory of allowing the identification and estimation of "mismeasured and endogenous regressor models" by exploiting heteroskedasticity. These models include linear regression models customarily estimated with instrumental variables (IV) or IV-GMM techniques. Lewbel's method, under suitable conditions, can provide instruments where no conventional instruments are available or augment standard instruments to enable tests of overidentification in the context of an exactly identified model. In this talk, I discuss the rationale for Lewbel's methodology and illustrate its implementation in a variant of Baum, Schaffer, and Stillman' sivreg2 routine, ivreg2h.

Suggested Citation

  • Christopher F Baum & Arthur Lewbel & Mark E Schaffer & Oleksandr Talavera, 2013. "Instrumental variables estimation using heteroskedasticity-based instruments," German Stata Users' Group Meetings 2013 05, Stata Users Group.
    • Handle: RePEc:boc:dsug13:05
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/RePEc/dsug2013/baum_DESUG2013.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    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:boc:dsug13:05. 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: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.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.