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

Richard Moussa ()
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Richard Moussa: University of Cergy-Pontoise and ENSEA Abidjan

Economics Bulletin, 2017, vol. 37, issue 1, 494-507

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.

Keywords: Decent work; multiple correspondence analysis; hierarchical classification; logistic regression. (search for similar items in EconPapers)
JEL-codes: J4 J8 (search for similar items in EconPapers)
Date: 2017-03-20
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Citations: View citations in EconPapers (1)

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