IDEAS home Printed from https://ideas.repec.org/p/gdm/wpaper/10113.html
   My bibliography  Save this paper

Using Interviewer Random Effects to Calculate Unbiased HIV Prevalence Estimates in the Presence of Non-Response: a Bayesian Approach

Author

Listed:
  • Mark E. McGovern

    (Harvard School of Public Health)

  • Till Bärnighausen

    (Harvard School of Public Health)

  • Joshua A. Salomon

    (Harvard School of Public Health)

  • David Canning

    (Harvard School of Public Health)

Abstract

Selection bias in HIV prevalence estimates occurs if refusal to test is correlated with HIV status. Interviewer identity is plausibly correlated with consenting to test, but not with HIV status, allowing a Heckman-type correction that produces consistent HIV prevalence estimates. We innovate on existing approaches by showing that an interviewer random effects Bayesian estimator produces prevalence estimates that are unbiased as well as consistent. An additional advantage of this new estimator is that it allows the construction of bootstrapped standard errors. It is also easily implemented in standard statistical software. The model is used to produce new estimates and confidence intervals for HIV prevalence among men in Zambia and Ghana.

Suggested Citation

  • Mark E. McGovern & Till Bärnighausen & Joshua A. Salomon & David Canning, 2013. "Using Interviewer Random Effects to Calculate Unbiased HIV Prevalence Estimates in the Presence of Non-Response: a Bayesian Approach," PGDA Working Papers 10113, Program on the Global Demography of Aging.
    • Handle: RePEc:gdm:wpaper:10113
    as

    Download full text from publisher

    File URL: http://www.hsph.harvard.edu/pgda/WorkingPapers/2013/PGDA_WP_101.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    HIV; Heckman Selection Models; Missing Data; Bayesian Estimation;
    All these keywords.

    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:gdm:wpaper:10113. 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: Cinzia Smothers (email available below). General contact details of provider: https://edirc.repec.org/data/degraus.html .

    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.