Gender and Education Impacts on Employment and Earnings in West Africa: Evidence from Guinea

Glick, Peter; Sahn, David E.

doi:10.1086/452308

Cited by 102 publications

(101 citation statements)

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“…This explains the fact that although a higher percentage of children may have been enrolled, most children in Nigeria are faced with delayed enrolment. Similar results have been found elsewhere (Glick and Sahn, 1997). More importantly, the test of differences between means shows that male participation in all child activity options is significantly different from female activity options except in the case of idling (see Appendix Table A1).…”

Section: Resultssupporting

confidence: 85%

“…This is due partly to orientation and partly to experience. These results also re-echo the many studies showing that poverty and lack of schools drive children into economic activities (Basu, 1998;Glick and Sahn, 1997).…”

Section: Exclusive Child Labourerssupporting

confidence: 79%

“…This seems to suggest that the girls' income is more responsive to the welfare of the family than the boys'. Other studies have actually shown that most male children do not always give their income to their parents (Glick and Sahn, 1997). In terms of location, the result shows that children from rural areas earn more income per hour and contribute more to the household income than their urban counterparts.…”

Section: Earnings From Child Labourmentioning

confidence: 82%

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Incidence and Determinants of Child Labour in Nigeria: Implications for Poverty Alleviation

Okpukpara

Odurukwe

2004

African Journal of Economic Policy

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Section: Resultssupporting

confidence: 85%

Section: Exclusive Child Labourerssupporting

confidence: 79%

Section: Earnings From Child Labourmentioning

confidence: 82%

See 1 more Smart Citation

Incidence and Determinants of Child Labour in Nigeria: Implications for Poverty Alleviation

Okpukpara

Odurukwe

2004

African Journal of Economic Policy

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“…Part of the differential of course, may be due to discrimination. For instance, Glick and Sahn (1997), using data from Guinea, found that 45 per cent of the earnings differential between males and females in self-employment was owing to discrimination against women. 7.…”

Section: Notesmentioning

confidence: 99%

What Do We Know About The Patterns and Determinants of Female Entrepreneurship Across Countries?

2010

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In this article we provide an introduction to the papers in the special section of this edition of the European Journal of Development Research. We start by framing the challenges posed by female entrepreneurship to the research community, note some of the findings in the literature pertaining to the cross-national understanding of female entrepreneurship, and review the existing literature on the role and experience of female entrepreneurs in developing countries. Despite progress in understanding the motivations, constraints and issues that confront female entrepreneurs, there is still substantial scope for further research. We then discuss four papers that advance this research agenda.Dans ce papier nous introduisons les articles composant la rubrique de ce nume´ro du European Journal of Development Research. Cette rubrique est consacre´e aux mode`les et de´terminants de l'entreprenariat fe´minin dans les diffe´rents pays, et se penche plus particulie`rement sur le cas des pays en voie de de´veloppement. Dans un premier temps, nous pre´sentons les de´fis que repre´sente la question de l'entreprenariat fe´minin pour la communaute´scientifique, nous de´crivons quelques uns des re´sultats de la litte´rature concernant la conception trans-nationale de l'entreprenariat fe´minin, et passons en revue la litte´rature portant sur le roˆle et les expe´riences des femmes entrepreneurs dans les pays en voie de de´veloppement. Bien que l'on comprenne de mieux en mieux les motivations des femmes entrepreneurs, ainsi que les contraintes et proble`mes auxquels elles font face, ces questions me´ritent des recherches plus approfondies. Nous pre´sentons ensuite quatre articles qui font progresser cet agenda de recherche.

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“…In addition, average skill level of highly educated female workers is often higher than that of their male counterparts because, at any level of schooling, the threshold skill level at which women choose to participate in the labor market is higher. The coexistence of lower average wages and higher (or similar) returns to schooling for women has been observed in countries as varied as Indonesia (Behrman and Deolalikar 1995), Guinea (Glick and Sahn 1997) and Peru (King 1996). However, women are typically less educated than men in these countries due to gender earnings gaps and other social, cultural, and institutional factors which keep many women out of the labor force.…”

Section: Schooling and The Labor Marketmentioning

confidence: 99%

Women, Schooling, and Marriage in Rural Philippines

DeSilva

Bakhtiar

2011

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in ABSTRACTUsing data from the Bicol region of the Phillipines, we examine why women are more educated than men in a rural, agricultural economy in which women are significantly less likely than men to participate in the labor market. We hypothesize that educational homogamy in the marriage market and cross-productivity effects in the household allow Filipino women to reap substantial benefits from schooling regardless of whether they enter the labor market. Our estimates reveal that the return to schooling for women is approximately 20 percent in both labor and marriage markets. In comparison, men experience a 12 percent return to schooling in the labor market. By using birth order, sibship size, percent of male siblings, and parental education as instruments, we correct for a significant downward bias that is caused by the endogeneity of schooling attainment.

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Gender and Education Impacts on Employment and Earnings in West Africa: Evidence from Guinea

Cited by 102 publications

References 0 publications

Incidence and Determinants of Child Labour in Nigeria: Implications for Poverty Alleviation

Incidence and Determinants of Child Labour in Nigeria: Implications for Poverty Alleviation

What Do We Know About The Patterns and Determinants of Female Entrepreneurship Across Countries?

Women, Schooling, and Marriage in Rural Philippines

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