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Elicitation of the determinants of decent work in developing countries: evidence from Côte d'Ivoire

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  • Richard Kouamé Moussa

    (University of Cergy-Pontoise and ENSEA Abidjan)

Abstract

Despite numerous papers on decent work, there are no publications that address at individual level the assessment of decent work. This article proposes an approach to construct an individual level decent work indicator and to analyze the decent work determinants in order to facilitate specific policies design. The decent work index is constructed through a multiple correspondence analysis (MCA) approach and a hierarchical classification is used to classify worker into decent work and non-decent worker groups. The analysis of decent work determinants through a logistic model shows that the level of education, the employment type, the institutional sector, and the capability to migrate for job seeking are the main determinants of decent work. We also highlight the regional related decent work inequalities.

Suggested Citation

  • Richard Kouamé Moussa, 2017. "Elicitation of the determinants of decent work in developing countries: evidence from Côte d'Ivoire," Economics Bulletin, AccessEcon, vol. 37(1), pages 494-507.
    • Handle: RePEc:ebl:ecbull:eb-16-00841
    as

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    References listed on IDEAS

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    5. Liliana Winkelmann & Rainer Winkelmann, 1998. "Why Are the Unemployed So Unhappy?Evidence from Panel Data," Economica, London School of Economics and Political Science, vol. 65(257), pages 1-15, February.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Decent work; multiple correspondence analysis; hierarchical classification; logistic regression.;
    All these keywords.

    JEL classification:

    • J4 - Labor and Demographic Economics - - Particular Labor Markets
    • J8 - Labor and Demographic Economics - - Labor Standards

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