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

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  • Claire Vermaak

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.

Suggested Citation

  • Claire Vermaak, 2010. "The Impact of Multiple Imputation of Coarsened Data on Estimates on the Working Poor in South Africa," WIDER Working Paper Series wp-2010-086, World Institute for Development Economic Research (UNU-WIDER).
  • Handle: RePEc:unu:wpaper:wp-2010-086
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    File URL: https://www.wider.unu.edu/sites/default/files/wp2010-86.pdf
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    References listed on IDEAS

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    1. Daan Steenkamp & Ruan Erasmus, 2022. "South Africa’s yield curve conundrum," Working Papers 07, Economic Research Southern Africa.
    2. Patrick Royston, 2005. "Multiple imputation of missing values: update," Stata Journal, StataCorp LP, vol. 5(2), pages 188-201, June.
    3. Ardington, Cally & Lam, David & Leibbrandt, Murray & Welch, Matthew, 2006. "The sensitivity to key data imputations of recent estimates of income poverty and inequality in South Africa," Economic Modelling, Elsevier, vol. 23(5), pages 822-835, September.
    4. Phillippe G. Leite & Terry McKinley & Rafael Guerreiro Osorio, 2006. "The Post-Apartheid Evolution of Earnings Inequality in South Africa, 1995-2004," Working Papers 32, International Policy Centre for Inclusive Growth.
    5. Servaas Van Der Berg & Megan Louw & Derek Yu, 2008. "Post‐Transition Poverty Trends Based On An Alternative Data Source1," South African Journal of Economics, Economic Society of South Africa, vol. 76(1), pages 58-76, March.
    6. 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.
    7. Daniela Casale & Colette Muller & Dorrit Posel, 2004. "‘Two Million Net New Jobs': A Reconsideration Of The Rise In Employment In South Africa, 1995–2003," South African Journal of Economics, Economic Society of South Africa, vol. 72(5), pages 978-1002, December.
    8. Daniela Casale, 2004. "What has the Feminisation of the Labour Market ‘Bought’ Women in South Africa? Trends in Labour Force Participation, Employment and Earnings, 1995-2001," Working Papers 04084, University of Cape Town, Development Policy Research Unit.
    9. Paul L. Cichello & Gary S. Fields & Murray Leibbrandt, 2005. "Earnings and Employment Dynamics for Africans in Post-apartheid South Africa: A Panel Study of KwaZulu-Natal1," Journal of African Economies, Centre for the Study of African Economies (CSAE), vol. 14(2), pages 143-190, June.
    10. Murray Leibbrandt & Ingrid Woolard & Arden Finn & Jonathan Argent, 2010. "Trends in South African Income Distribution and Poverty since the Fall of Apartheid," OECD Social, Employment and Migration Working Papers 101, OECD Publishing.
    11. Charles Meth & Rosa Dias, 2004. "Increases in poverty in South Africa, 1999-2002," Development Southern Africa, Taylor & Francis Journals, vol. 21(1), pages 59-85.
    12. Pierre Le Roux & Sanderson Abel, 2016. "An application of Panzar-Rosse Approach in assessing banking sector competition in Zimbabwe," Working Papers 82, Economic Research Southern Africa.
    13. Charles Meth, 2006. "What was the poverty headcount in 2004 and how does it compare to recent estimates by van der Berg et al?," SALDRU Working Papers 1, Southern Africa Labour and Development Research Unit, University of Cape Town.
    14. Kalie Pauw & Liberty Mncube, 2007. "The Impact of Growth and Redistribution on Poverty and Inequality in South Africa," Working Papers 07126, University of Cape Town, Development Policy Research Unit.
    15. Murray Leibbrandt & Laura Poswell & Pranushka & Matthew Welch & Ingrid Woolard, 2004. "Measuring recent changes in South African inequality and poverty using 1996 and 2001 census data," SALDRU/CSSR Working Papers 084, Southern Africa Labour and Development Research Unit, University of Cape Town.
    16. Patrick Royston, 2005. "Multiple imputation of missing values: Update of ice," Stata Journal, StataCorp LP, vol. 5(4), pages 527-536, December.
    17. Patrick Royston, 2005. "MICE for multiple imputation of missing values," United Kingdom Stata Users' Group Meetings 2005 02, Stata Users Group.
    18. 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.
    19. Daniela Casale, 2004. "What has the Feminisation of the Labour Market ‘Bought’ Women in South Africa? Trends in Labour Force Participation, Employment and Earnings, 1995–2001," Journal of Interdisciplinary Economics, , vol. 15(3-4), pages 251-275, July.
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    Cited by:

    1. Chicoine, Luke, 2012. "AIDS mortality and its effect on the labor market: Evidence from South Africa," Journal of Development Economics, Elsevier, vol. 98(2), pages 256-269.
    2. Reza C. Daniels, 2012. "Univariate Multiple Imputation for Coarse Employee Income Data," SALDRU Working Papers 88, Southern Africa Labour and Development Research Unit, University of Cape Town.

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