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This paper study the determinants of the gender gap in Cameroonian labor market and its causal impact on socioprofessional mobility as well as they active itself and its family by using EISS 2 database of SNI. We use dichotomy probit models with propensity score matching, notably nearest neighbor and Kernel density method of estimation for overcome heterogeneity and selection bias so that our result either robust. By putting in evidences the spatial and gender heterogeneities, we fund that urban females and young girl’s activities economics levels has a meaningfully impact on the socio-professional mobility of active female and on its family.
bita_charles_alain. 2020. \u201cGenre, Participation Au Marché Du Travail Et Mobilité Socioprofessionnelle Au Cameroun\u201d. Global Journal of Management and Business Research - B: Economic & Commerce GJMBR-B Volume 20 (GJMBR Volume 20 Issue B12): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
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Total Score: 102
Country: Unknown
Subject: Global Journal of Management and Business Research - B: Economic & Commerce
Authors: Bita Charles Alain, Noufelie Romus (PhD/Dr. count: 0)
View Count (all-time): 181
Total Views (Real + Logic): 2274
Total Downloads (simulated): 1120
Publish Date: 2020 12, Thu
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This paper study the determinants of the gender gap in Cameroonian labor market and its causal impact on socioprofessional mobility as well as they active itself and its family by using EISS 2 database of SNI. We use dichotomy probit models with propensity score matching, notably nearest neighbor and Kernel density method of estimation for overcome heterogeneity and selection bias so that our result either robust. By putting in evidences the spatial and gender heterogeneities, we fund that urban females and young girl’s activities economics levels has a meaningfully impact on the socio-professional mobility of active female and on its family.
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