• English
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Latviešu
  • Magyar
  • Nederlands
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Log In
  • Communities & Collections
  • Browse OpenUCT
  • English
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Latviešu
  • Magyar
  • Nederlands
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Log In
  1. Home
  2. Browse by Author

Browsing by Author "Dieden, Sten"

Now showing 1 - 5 of 5
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    Item
    Open Access
    Ahoy the Good Hope?: some bearings and signals in Seldom-Navigated Waters - on inequality in South Africa's Coloured and African population
    (2005) Dieden, Sten
    Previous studies have decomposed South African income inequality into inequality between and within the population groups defined by the apartheid regime's racial classification system. While a substantial fraction of total inequality can be attributed to differences in mean income levels between those population groups, the level of inequality within the racial groups has been found to contribute more to total inequality. Yet few investigations have attempted to elucidate inequality within these population groups. This study therefore explores the extent to which inequality in a joint sample of African and coloured individuals can be attributed specific labour-market related characteristics of their households or household heads. The analyses apply the Theil-L measure of inequality to the distribution of a consumption bundle in a household survey data set from 1995. The education level of household heads is the strongest single explanatory factor, followed by households' main income sources. The race, age categories, or gender of household heads do not account for large fractions of inequality in this sample.
  • Loading...
    Thumbnail Image
    Item
    Open Access
    Ahoy the Good Hope?: some bearings and signals in Seldom-Navigated Waters - on inequality in South Africa's Coloured and African population
    (2005) Dieden, Sten
    Previous studies have decomposed South African income inequality into inequality between and within the population groups defined by the apartheid regime's racial classification system. While a substantial fraction of total inequality can be attributed to differences in mean income levels between those population groups, the level of inequality within the racial groups has been found to contribute more to total inequality. Yet few investigations have attempted to elucidate inequality within these population groups. This study therefore explores the extent to which inequality in a joint sample of African and coloured individuals can be attributed specific labour-market related characteristics of their households or household heads. The analyses apply the Theil-L measure of inequality to the distribution of a consumption bundle in a household survey data set from 1995. The education level of household heads is the strongest single explanatory factor, followed by households' main income sources. The race, age categories, or gender of household heads do not account for large fractions of inequality in this sample.
  • Loading...
    Thumbnail Image
    Item
    Open Access
    Homing in on the Core - Households Incomes, Income Sources and Geography in South Africa
    (2004-12) Dieden, Sten
    The focus of this study is on household income generation among previously disadvantaged households in South Africa. Households' income sources are divided into categories that reflect differing extents of association with the core economy.
  • No Thumbnail Available
    Item
    Metadata only
    Integration into the South African Core Economy: Household Level Covariates
    (CSSR and SALDRU, 2015-05-28) Dieden, Sten
  • Loading...
    Thumbnail Image
    Item
    Open Access
    Integration into the South African core economy: household level covariates
    (2003) Dieden, Sten
    The aim of this paper is to further improve the understanding of income generation among the formerly underprivileged and often impoverished majority of households in South Africa. This study uses household survey data for the analysis of households' integration into the South African core economy. The emerging picture of household income generation is one that disputes common perceptions of the multitude of means by which African households are assumed to generate their income. The majority of households rely to a large extent on one income source and one income earner. Verbal contextual information and descriptive statistics justify the estimation of separate multinomial logit models for urban and non-urban households with the probabilities for having either of five main income source categories as outcomes. Results from the regression analyses indicate that prominent covariates of low core-economy integration are earners who are female, either old or young earners of working-age, who have low levels of education. A non-urban household's location in either a former "homeland" or in an agriculturally or commercially developed area yields disparate implications for the main income source probabilities. The study also finds associations between main income sources and households' demographic compositions which are compatible with findings in previous research on both private transfer behaviour and endogenous household formation in South Africa.
UCT Libraries logo

Contact us

Jill Claassen

Manager: Scholarly Communication & Publishing

Email: openuct@uct.ac.za

+27 (0)21 650 1263

  • Open Access @ UCT

    • OpenUCT LibGuide
    • Open Access Policy
    • Open Scholarship at UCT
    • OpenUCT FAQs
  • UCT Publishing Platforms

    • UCT Open Access Journals
    • UCT Open Access Monographs
    • UCT Press Open Access Books
    • Zivahub - Open Data UCT
  • Site Usage

    • Cookie settings
    • Privacy policy
    • End User Agreement
    • Send Feedback

DSpace software copyright © 2002-2026 LYRASIS