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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

Listed:
  • 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

    as
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    8. Haroon Bhorat & Ravi Kanbur, 2005. "Poverty and Well-being in Post-Apartheid South Africa: An Overview of Data, Outcomes and Policy," Working Papers 05101, University of Cape Town, Development Policy Research Unit.
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    10. 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.
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    Cited by:

    1. Neil Rankin & Rulof Burger & Friedrich Kreuser, 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. Magejo, Prudence & Benhura, Miracle, 2015. "A Detailed Decomposition Analysis of the Public-Private Sector Wage Gap in South Africa," IZA Discussion Papers 9271, Institute of Labor Economics (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. Amy Thornton & Martin Wittenberg, 2022. "Reweighting the OHS and GHS to improve data quality: Representativeness, household counts, and small households," South African Journal of Economics, Economic Society of South Africa, vol. 90(4), pages 513-534, December.
    5. Serena Merrino, 2020. "Measuring labour earnings inequality in post-apartheid South Africa," WIDER Working Paper Series wp-2020-32, World Institute for Development Economic Research (UNU-WIDER).
    6. Friedrich Kreuser & Rulof Burger & Neil Rankin, 2015. "The elasticity of substitution and labour-displacing technical change in post-apartheid South Africa," WIDER Working Paper Series wp-2015-101, World Institute for Development Economic Research (UNU-WIDER).
    7. Neryvia Pillay Bell, 2020. "The impacts of unconditional cash transfers on schooling in adolescence and young adulthood: Evidence from South Africa," Working Papers 821, Economic Research Southern Africa.
    8. Jacqueline Mosomi, 2019. "Distributional changes in the gender wage gap in the post-apartheid South African labour market," WIDER Working Paper Series wp-2019-17, World Institute for Development Economic Research (UNU-WIDER).
    9. 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 wp-2016-66, World Institute for Development Economic Research (UNU-WIDER).
    10. Andrew Kerr & Martin Wittenberg, 2019. "Earnings and employment microdata in South Africa," WIDER Working Paper Series wp-2019-47, World Institute for Development Economic Research (UNU-WIDER).
    11. Sharp, Matthew, 2021. "The labour market impacts of female internal migration: Evidence from the end of Apartheid," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    12. Oyenubi, Adeola & Mosomi, Jacqueline, 2024. "Utility of inequality sensitive measures of the gender wage gap: Evidence from South Africa," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 576-590.
    13. 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.
    14. Martin Wittenberg, 2017. "Wages and Wage Inequality in South Africa 1994–2011: Part 1 – Wage Measurement and Trends," South African Journal of Economics, Economic Society of South Africa, vol. 85(2), pages 279-297, June.
    15. Wittenberg, Martin., 2014. "Analysis of employment, real wage, and productivity trends in South Africa since 1994," ILO Working Papers 994847703402676, International Labour Organization.
    16. repec:ilo:ilowps:484770 is not listed on IDEAS
    17. 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.
    18. Takwanisa Machemedze & Andrew Kerr & Rob Dorrington, 2020. "South African population projection and household survey sample weight recalibration," WIDER Working Paper Series wp-2020-67, World Institute for Development Economic Research (UNU-WIDER).
    19. Anne Konrad & Jan Pablo Burgard & Ralf Münnich, 2021. "A Two‐level GREG Estimator for Consistent Estimation in Household Surveys," International Statistical Review, International Statistical Institute, vol. 89(3), pages 635-656, December.

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