Genre, Participation Au Marché Du Travail Et Mobilité Socioprofessionnelle Au Cameroun

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bita_charles_alain
bita_charles_alain
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Bita Charles Alain
Bita Charles Alain
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Noufelie Romus
Noufelie Romus
α University of Ngaoundéré

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Genre, Participation Au Marché Du Travail Et Mobilité Socioprofessionnelle  Au Cameroun

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Abstract

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.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

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): .

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Issue Cover
GJMBR Volume 20 Issue B12
Pg. 7- 19
Journal Specifications

Crossref Journal DOI 10.17406/GJMBR

Print ISSN 0975-5853

e-ISSN 2249-4588

Keywords
Classification
GJMBR-B Classification: JEL Code: C52, J16, J23
Version of record

v1.2

Issue date

December 17, 2020

Language
English
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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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Genre, Participation Au Marché Du Travail Et Mobilité Socioprofessionnelle Au Cameroun

Bita Charles Alain
Bita Charles Alain
Noufelie Romus
Noufelie Romus

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