IDEAS home Printed from https://ideas.repec.org/p/unu/wpaper/wp2010-86.html
   My bibliography  Save this paper

The Impact of Multiple Imputation of Coarsened Data on Estimates on the Working Poor in South Africa

Author

Listed:
  • Vermaark, Claire

Abstract

South African household surveys typically contain coarsened earnings data, which consist of a mixture of missing earnings values, point responses and interval-censored responses. This paper uses sequential regression multivariate imputation to impute missing and interval-censored values in the 2000 and 2006 Labour Force Surveys, and compares poverty estimates obtained under several different methods of reconciling coarsened earnings data. Estimates of poverty amongst the employed are found not to be sensitive to the use of the multiple imputation approach, but are sensitive to the treatment of workers reporting zero earnings. Multiple imputing earnings for all workers with missing, interval-censored or reported zero earnings, the proportion of workers earning less than R500 per month falls by almost a third between 2000 and 2006.

Suggested Citation

  • Vermaark, Claire, 2010. "The Impact of Multiple Imputation of Coarsened Data on Estimates on the Working Poor in South Africa," WIDER Working Paper Series 086, World Institute for Development Economic Research (UNU-WIDER).
  • Handle: RePEc:unu:wpaper:wp2010-86
    as

    Download full text from publisher

    File URL: http://www.wider.unu.edu/sites/default/files/wp2010-86.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Dieter Von fintel, 2007. "Dealing With Earnings Bracket Responses In Household Surveys - How Sharp Are Midpoint Imputations?," South African Journal of Economics, Economic Society of South Africa, vol. 75(2), pages 293-312, June.
    2. Servaas van der Berg & Ronelle Burger & Rulof Burger & Megan Louw & Derek Yu, 2005. "Trends in poverty and inequality since the political transition," Working Papers 01/2005, Stellenbosch University, Department of Economics.
    3. Servaas Van der berg & Megan Louw & Derek Yu, 2008. "Post-Transition Poverty Trends Based On An Alternative Data Source," South African Journal of Economics, Economic Society of South Africa, vol. 76(1), pages 58-76, March.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    coarsened data; multiple imputation; poverty; wage distribution; working poor;

    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:unu:wpaper:wp2010-86. 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: (Mauricio Roa Grisales). General contact details of provider: http://edirc.repec.org/data/widerfi.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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.