IDEAS home Printed from https://ideas.repec.org/p/ldr/cssrwp/012.html
   My bibliography  Save this paper

Unemployment, Employment and Labour-Force Participation in Khayelitsha/Mitchell's Plain

Author

Listed:
  • Nicoli Nattrass

Abstract

This paper provides a rough guide to the labour force in Khayelitsha/Mitchell's Plain with a particular focus on unemployment. The task is partly conceptual (a discussion is provided on statistical norms for measuring unemployment) and partly empirical. Data is drawn from the 2000/2001 Khayelitsha Mitchell's Plain (KMP) survey, which was designed mainly to explore various dimensions of labour market attachment amongst African and coloured people in Cape Town. This survey covered the magisterial district of Mitchell's Plain which includes the African townships of Khayelitsha, Gugulethu and Langa; it is not a representative sample of the Cape Town metropolitan area but rather of working class (predominantly African and coloured) Cape Town. In the discussion that follows, reference is made to the questionnaire. The Stata 'do file's (which generated the results) are available on request. Part 1 of the paper outlines the standard labour force approach to labour statistics and points to areas where standard definitions can usefully be extended or supplemented. Part 2 continues the discussion, but with reference to employment and unemployment in KMP. A distinction is drawn between the strict and broad definitions of unemployment and an intermediate definition of unemployment (which includes active job seekers and those seeking jobs exclusively through social networks) is introduced. Part 3 examines the nonlabour- force participants. Part 4 expands the scope of the labour force by adjusting some of the statistical requirements used in earlier approaches. Using this expanded approach, Part 5 continues the exploration of different dimensions of unemployment.

Suggested Citation

  • Nicoli Nattrass, 2002. "Unemployment, Employment and Labour-Force Participation in Khayelitsha/Mitchell's Plain," SALDRU/CSSR Working Papers 012, Southern Africa Labour and Development Research Unit, University of Cape Town.
  • Handle: RePEc:ldr:cssrwp:012
    as

    Download full text from publisher

    File URL: https://www.opensaldru.uct.ac.za/handle/11090/630
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kingdon, Geeta Gandhi & Knight, John, 2004. "Unemployment in South Africa: The Nature of the Beast," World Development, Elsevier, vol. 32(3), pages 391-408, March.
    2. Jeremy Magruder & Nicoli Nattrass, 2006. "Exploring Attrition Bias: The Case Of The Khayelitsha Panel Study (2000‐2004)," South African Journal of Economics, Economic Society of South Africa, vol. 74(4), pages 769-781, December.

    More about this item

    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:ldr:cssrwp:012. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Alison Siljeur (email available below). General contact details of provider: https://edirc.repec.org/data/sauctza.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.