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Re-weighting South African National Household Survey Data to create a consistent series over time: A cross entropy estimation approach

Author

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  • Nicola Branson

    () (SALDRU, School of Economics, University of Cape Town)

  • Martin Wittenberg

    () (SALDRU, School of Economics, University of Cape Town)

Abstract

In the absence of established longitudinal panel surveys in South African, national cross-sectional household survey data are frequently used to analyse change. When these data are stacked side-byside, however, inconsistencies both in time trends and between household and person level data are found. This study uses a new set of weights calibrated to the ASSA 2003 model totals using a cross entropy estimation approach. This approach is favoured because the calculated weights are similar to the initial sample weights (and hence retain the survey design benefits) but match to a series of age-sex-race and province marginal totals that are consistent over time. The weights are publicly available for a fourteen year period between 1994 and 2007. This is a SALDRU/DataFirst Working Paper

Suggested Citation

  • Nicola Branson & Martin Wittenberg, 2011. "Re-weighting South African National Household Survey Data to create a consistent series over time: A cross entropy estimation approach," SALDRU Working Papers 54, Southern Africa Labour and Development Research Unit, University of Cape Town.
  • Handle: RePEc:ldr:wpaper:54
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    References listed on IDEAS

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    1. Martin Wittenberg, 2009. "Sample Survey Calibration: An Informationtheoretic perspective," SALDRU Working Papers 41, Southern Africa Labour and Development Research Unit, University of Cape Town.
    2. Colette Muller, 2003. "Measuring South Africa’s Informal Sector: An Analysis of National Household Surveys," Working Papers 03071, University of Cape Town, Development Policy Research Unit.
    3. Martin Wittenberg, 2010. "An introduction to maximum entropy and minimum cross-entropy estimation using Stata," Stata Journal, StataCorp LP, vol. 10(3), pages 315-330, September.
    4. Cally Ardington & David Lam & Murray Leibbrandt & Matthew Welch, 2005. "The Sensitivity of Estimates of Post-Apartheid Changes in South African Poverty and Inequality to key Data Imputations," SALDRU/CSSR Working Papers 106, Southern Africa Labour and Development Research Unit, University of Cape Town.
    5. Malcolm Keswell & Laura Poswell, 2004. "Returns To Education In South Africa: A Retrospective Sensitivity Analysis Of The Available Evidence," South African Journal of Economics, Economic Society of South Africa, vol. 72(4), pages 834-860, September.
    6. Rulof Burger & Derek Yu, 2006. "Wage trends in post-apartheid South Africa: Constructing an earnings series from household survey data," Working Papers 10/2006, Stellenbosch University, Department of Economics.
    7. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
    8. Dorrit Posel, 2003. "The collection of national household survey data in South Africa (1993-2001): Rendering labour migration invisible," Development Southern Africa, Taylor & Francis Journals, vol. 20(3), pages 361-368.
    9. Nicola Branson & Martin Wittenberg, 2007. "The Measurement Of Employment Status In South Africa Using Cohort Analysis, 1994-2004," South African Journal of Economics, Economic Society of South Africa, vol. 75(2), pages 313-326, June.
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    Cited by:

    1. Rankin Neil & Burger Rulof & Kreuser Friedrich, 2015. "The elasticity of substitution and labour-displacing technical change in post-apartheid South Africa," WIDER Working Paper Series 101, World Institute for Development Economic Research (UNU-WIDER).
    2. Kwenda, Prudence & Benhura, Miracle, 2015. "A Detailed Decomposition Analysis of the Public-Private Sector Wage Gap in South Africa," IZA Discussion Papers 9271, Institute for the Study of Labor (IZA).
    3. Rulof Burger & Rachel Jafta & Dieter von Fintel, 2016. "Affirmative action policies and the evolution of post-apartheid South Africa's racial wage gap," WIDER Working Paper Series 066, World Institute for Development Economic Research (UNU-WIDER).
    4. Reza C. Daniels, 2012. "A Framework for Investigating Micro Data Quality, with Application to South African Labour Market Household Surveys," SALDRU Working Papers 90, Southern Africa Labour and Development Research Unit, University of Cape Town.
    5. repec:bla:sajeco:v:85:y:2017:i:2:p:279-297 is not listed on IDEAS
    6. Wittenberg, Martin., 2014. "Analysis of employment, real wage, and productivity trends in South Africa since 1994," ILO Working Papers 994847703402676, International Labour Organization.
    7. repec:ilo:ilowps:484770 is not listed on IDEAS
    8. Wittenberg, Martin & Pirouz, Farah, 2013. "The measurement of earnings in the post-Apartheid period: An overview," SALDRU Working Papers 108, Southern Africa Labour and Development Research Unit, University of Cape Town.

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