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Sampling methodology and field work changes in the october household surveys and labour force surveys

Author

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  • Andrew Kerr

    (DataFirst, University of Cape Town)

  • Martin Wittenberg

    (DataFirst, University of Cape Town)

Abstract

The 1999 October Household Survey was the first time that Statistics South Africa (Stats SA) introduced a master sample of Enumeration Areas (Stats SA, 2000a). There were several important changes in sampling and field worker practice that accompanied the introduction of the master sample of EAs, which have not been systematically documented , and which make comparability of the surveys undertaken before and after this time difficult. We document these changes in this research note and provide evidence that these changes were partly responsible for the odd trends in the total number of single person households estimated from the October Household Surveys (OHSs) and Labour Force Surveys (LFSs), noted in Wittenberg and Collinson (2007) and Pirouz (2005), as well as rapid increases in employment, in the late 1990s.

Suggested Citation

  • Andrew Kerr & Martin Wittenberg, 2013. "Sampling methodology and field work changes in the october household surveys and labour force surveys," SALDRU Working Papers 101, Southern Africa Labour and Development Research Unit, University of Cape Town.
    • Handle: RePEc:ldr:wpaper:101
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    Cited by:

    1. 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.
    2. Martin Wittenberg, 2017. "Wages and Wage Inequality in South Africa 1994–2011: Part 2 – Inequality Measurement and Trends," South African Journal of Economics, Economic Society of South Africa, vol. 85(2), pages 298-318, June.
    3. Martin Wittenberg & Mark Collinson & Tom Harris, 2017. "Decomposing changes in household measures: Household size and services in South Africa, 1994–2012," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 37(39), pages 1297-1326.
    4. 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).
    5. 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.
    6. Martin Wittenberg, 2014. "Wages and wage inequality in South Africa 1994-2011: The evidence from household survey data," SALDRU Working Papers 135, Southern Africa Labour and Development Research Unit, University of Cape Town.
    7. 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.
    8. Wittenberg, Martin., 2014. "Analysis of employment, real wage, and productivity trends in South Africa since 1994," ILO Working Papers 994847703402676, International Labour Organization.
    9. repec:ilo:ilowps:484770 is not listed on IDEAS
    10. 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).

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