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Labour market outcomes of education: Evidence for selected non-OECD countries

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  • Michaelowa, Katharina
  • Waller, Marie

Abstract

Based on recent data collected by the UNESCO Institute of Statistics and the OECD in the context of their joint World Education Indicators project, labour market outcomes of education can be reassessed for selected non-OECD countries (Brazil, Chile, Indonesia, Malaysia, Peru, Thailand and Uruguay) integrating particularly interesting characteristics of developing country labour markets such as high underemployment and informal sector employment. These specific data, available by level of educational attainment, gender and age, have not yet been published and are presented for the first time within this report. Based on the new information available, some light can be shed on ongoing discussions about perceived differences between OECD and non-OECD countries with respect to labour market outcomes of education. In fact, once the important characteristics of underemployment and informal sector employment are taken into account, the link between education and labour market prospects no longer differs significantly between the two country groups. In both groups, employment prospects, earnings and labour market participation tend to be positively related to the level of educational attainment. Across all levels of education, young people and women tend to be in the most unfavourable situation. However, gender discrepancies with respect to employment prospects appear to be more important in non-OECD than in OECD countries, and no structural trend can be observed that would indicate an improvement of the situation over time.

Suggested Citation

  • Michaelowa, Katharina & Waller, Marie, 2003. "Labour market outcomes of education: Evidence for selected non-OECD countries," HWWA Reports 226, Hamburg Institute of International Economics (HWWA).
    • Handle: RePEc:zbw:hwware:26101
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    References listed on IDEAS

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    Cited by:

    1. Harald Fadinger & Karin Mayr, 2014. "Skill-Biased Technological Change, Unemployment, And Brain Drain," Journal of the European Economic Association, European Economic Association, vol. 12(2), pages 397-431, April.
    2. repec:wsr:wpaper:y:2012:i:089 is not listed on IDEAS
    3. Birchler, Kassandra & Michaelowa, Katharina, 2016. "Making aid work for education in developing countries: An analysis of aid effectiveness for primary education coverage and quality," International Journal of Educational Development, Elsevier, vol. 48(C), pages 37-52.
    4. Harald Fadinger & Karin Mayr, 2014. "Skill-Biased Technological Change, Unemployment, And Brain Drain," Journal of the European Economic Association, European Economic Association, vol. 12(2), pages 397-431, April.
    5. Birchler, Kassandra & Michaelowa, Katharina, 2016. "Making aid work for education in developing countries: An analysis of aid effectiveness for primary education coverage and quality," International Journal of Educational Development, Elsevier, vol. 48(C), pages 37-52.

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