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Gender and ethnic earnings gaps in seven West African cities
Authors:Christophe J Nordman  Anne-Sophie Robilliard  François Roubaud
Institution:1. IRD, DIAL, France;2. IRD, DIAL, Senegal;3. IRD, DIAL, Viet Nam;1. School of Information, University of Michigan, Ann Arbor, MI 48109, United States;2. Research Center for Games and Economic Behavior, Shandong University, Jinan, Shandong 250100, China;1. Boston University, USA;2. Harvard University, USA;1. Energy Policy Institute at Chicago, The University of Chicago, USA;2. Laboratory for Energy Systems Analysis, Paul Scherrer Institute (PSI), Switzerland;1. Sherppa – Ghent University, Tweekerkenstraat 2, B-9000 Gent, Belgium;2. IRES – Université Catholique de Louvain, Belgium;3. CESIfo, Germany;4. IZA, Germany;1. University of Passau, IZA and RWI Research Network, Germany;2. University of Göttingen and GIGA German Institute for Global and Area Studies, Germany;3. Leibniz University Hannover and University of Passau, Germany;4. Institute de Recherche en Sciences de la Santé (IRSS), Burkina Faso;1. Department of Psychology, School of Education, Guangzhou University, China;2. School of Business and Economics, University of Jyväskylä, Finland
Abstract:In this paper, we measure, compare and analyse gender and ethnic earnings gaps in seven West African capitals using data from an original series of urban household surveys. Our results show that gender earnings gaps are large in all the cities in our sample with significant variations across cities. Cities with large gender earnings gaps are also where gender education gaps are wider and where the female labour market participation is highest. Decomposition of the gender gaps shows that differences in characteristics explain around 40% of the raw gender gap on average, but this varies somewhat across cities. The results of the full decomposition of the gender earnings gaps suggest that differences in sector allocation contribute, on average, to one third of gender earnings gaps. Gender gaps are very wide in the informal sector and differences in micro-firm characteristics also account for differences in self-employment earnings. In contrast to the large gender earnings gaps measured in the seven cities, majority ethnic groups do not appear to be in a systematically advantageous position on the urban labour markets in our sample of cities, and observed gaps are small compared with gender gaps. Looking at more detailed levels of ethnic disaggregation, ethnic earnings differentials are found to be systematically smaller than gender differentials. Moreover, none of the minority “favoured” groups seem to have any relation to the ethnicity of the Head of State at the time of the survey. Holding productive characteristics constant, some unexplained differences persist however.
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