IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v47y2018i19p4808-4839.html
   My bibliography  Save this article

Testing for error cross-sectional uncorrelatedness in a two-way error components panel data model

Author

Listed:
  • Guangyu Mao

Abstract

This paper proposes a new test for the error cross-sectional uncorrelatedness in a two-way error components panel data model based on large panel data sets. By virtue of an existing statistic under the raw data circumstance, an analogous test statistic using the within residuals of the model is constructed. We show that the resulting statistic needs bias correction to make valid inference, and then propose a method to implement feasible correction. Simulation shows that the test based on the feasible bias-corrected statistic performs well. Additionally, we employ a real data set to illustrate the use of the new test.

Suggested Citation

  • Guangyu Mao, 2018. "Testing for error cross-sectional uncorrelatedness in a two-way error components panel data model," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(19), pages 4808-4839, October.
    • Handle: RePEc:taf:lstaxx:v:47:y:2018:i:19:p:4808-4839
    DOI: 10.1080/03610926.2018.1446087
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2018.1446087
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03610926.2018.1446087?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:taf:lstaxx:v:47:y:2018:i:19:p:4808-4839. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/lsta .

    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.