IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v36y2004i21p2373-2376.html
   My bibliography  Save this article

Modified Hausman tests for inefficient estimators

Author

Listed:
  • Michael Creel

Abstract

Widely-used estimators such as the generalized method of moments (GMM) and quasi-maximum likelihood (QML) are not efficient in general. This study shows how the Hausman specification test may easily be corrected to be used with inefficient estimators. It introduces a related test that has better power, and it points out the relationship to the GMM criterion test of specification of overidentified models. A brief simulation illustrates the results.

Suggested Citation

  • Michael Creel, 2004. "Modified Hausman tests for inefficient estimators," Applied Economics, Taylor & Francis Journals, vol. 36(21), pages 2373-2376.
  • Handle: RePEc:taf:applec:v:36:y:2004:i:21:p:2373-2376
    DOI: 10.1080/0003684042000291281
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/0003684042000291281
    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.

    References listed on IDEAS

    as
    1. Burnside, Craig & Eichenbaum, Martin S, 1996. "Small-Sample Properties of GMM-Based Wald Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 294-308, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Harald Badinger & Peter Egger, 2015. "Fixed Effects and Random Effects Estimation of Higher-order Spatial Autoregressive Models with Spatial Autoregressive and Heteroscedastic Disturbances," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(1), pages 11-35, March.
    2. Kevin E. Staub, 2009. "Simple tests for exogeneity of a binary explanatory variable in count data regression models," SOI - Working Papers 0904, Socioeconomic Institute - University of Zurich.
    3. Michael Creel & Montserrat Farell, 2016. "On the Production of Cognitive Achievement and Gaps in Test Scores," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(2), pages 228-247, April.
    4. Michael Creel & Montserrat Farell Ferrer, 2006. "The black-white test score gap widens with age?," UFAE and IAE Working Papers 670.06, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).

    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:taf:applec:v:36:y:2004:i:21:p:2373-2376. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.