IDEAS home Printed from https://ideas.repec.org/p/boc/usug07/07.html
   My bibliography  Save this paper

Clustered standard errors in Stata

Author

Listed:
  • Austin Nichols

    () (Urban Institute)

  • Mark E Schaffer

    () (Heriot-Watt University)

Abstract

A brief survey of clustered errors, focusing on estimating cluster–robust standard errors: when and why to use the cluster option (nearly always in panel regressions), and implications. Additional topics may include using svyset to specify clustering, multidimensional clustering, clustering in meta-analysis, how many clusters are required for asymptotic approximations, testing coefficients when the Var–Cov matrix has less than full rank, and testing for clustering of errors.

Suggested Citation

  • Austin Nichols & Mark E Schaffer, 2007. "Clustered standard errors in Stata," United Kingdom Stata Users' Group Meetings 2007 07, Stata Users Group.
  • Handle: RePEc:boc:usug07:07
    as

    Download full text from publisher

    File URL: http://repec.org/usug2007/crse.pdf
    File Function: presentation slides
    Download Restriction: no

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:usug07:07. 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: http://edirc.repec.org/data/stataea.html .

    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.