IDEAS home Printed from
   My bibliography  Save this paper

Hierarchical linear models using Stata


  • Delfino Vargas Chanes

    (Colegio de México)

  • Maria Merino



Some surveys collect data of individuals who are nested within hierarchical organizations or countries. These data are useful, for instance, for ranking countries according to a major outcome adjusted for covariates. Reporting only means produces rankings that are biased. So it is necessary to incorporate covariates and acknowledge the hierarchical structure of the data. From the perspective of ordinary regression, such structuring constitutes a statistical problem because it violates the assumption that observations are independent and identically distributed. In such a context, a hierarchical, or multilevel, linear model can be fit so that the hierarchical nature of the data is explicitly modeled. In this presentation, we will briefly discuss the strengths and limitations of hierarchical models for ranking countries.

Suggested Citation

  • Delfino Vargas Chanes & Maria Merino, 2010. "Hierarchical linear models using Stata," Mexican Stata Users' Group Meetings 2010 04, Stata Users Group.
  • Handle: RePEc:boc:msug10:04

    Download full text from publisher

    File URL:
    Download Restriction: no

    File URL:
    Download Restriction: no

    More about this item


    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:msug10:04. 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.