IDEAS home Printed from

DURBINH: Stata module to calculate Durbin's h test for serial correlation


  • Christopher F Baum

    () (Boston College)

  • Vince Wiggins

    () (Stata Corporation)


In the presence of lagged dependent variables, the Durbin-Watson statistic and Box-Pierce Q statistics are not appropriate tests for serial correlation in the errors. Durbin's h statistic may be used in this context. An asymptotically equivalent variant of Durbin's h statistic is computed by this command. This is version 1.04 of the software, updated from that published in STB-55. The force option has been added to allow durbinh to be employed after regress, robust and newey. The test is built in to Stata 8 as "durbina"; also see "durbina2" which will work on a single timeseries of a panel.

Suggested Citation

  • Christopher F Baum & Vince Wiggins, 1999. "DURBINH: Stata module to calculate Durbin's h test for serial correlation," Statistical Software Components S387301, Boston College Department of Economics, revised 11 Aug 2002.
  • Handle: RePEc:boc:bocode:s387301 Note: This module may be installed from within Stata by typing "ssc install durbinh". Windows users should not attempt to download these files with a web browser.

    Download full text from publisher

    File URL:
    File Function: program code
    Download Restriction: no

    File URL:
    File Function: help file
    Download Restriction: no

    More about this item


    time-series data; autocorrelation;


    Access and download statistics


    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:bocode:s387301. 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: (Christopher F Baum). General contact details of provider: .

    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 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.

    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.