Gender Wage and Employment Gaps in the Sub-Saharan Africa Economic Sectors

Melaku Abegaz () and Gibson Nene
Additional contact information
Melaku Abegaz: University of Wisconsin-River Falls
Gibson Nene: University of Minnesota Duluth

A chapter in The Palgrave Handbook of Africa’s Economic Sectors, 2022, pp 919-941 from Springer

Abstract: Abstract This chapter reviews empirical studies on the examination of wage inequality in Sub-Saharan Africa (SSA) and provides theoretical background on market discrimination. Besides, it presents descriptive statistics addressing disparities in the labor market and human development outcomes. The descriptive statistics indicate significant gaps in employment and human development achievements with a declining trend over the past years. Moreover, the empirical review shows a significant amount of wage gap, which is higher in the informal and self-employment sectors. A large proportion of the gap remained unexplained by worker and job characteristics, reflecting rampant labor market discrimination against women. Selection across sectors, occupations, and firms and human capital differences in education and experience account for the majority of the explained wage gaps.

Keywords: Sub-Saharan Africa; Gender inequality; Wage gap; Manufacturing; Household (search for similar items in EconPapers)
JEL-codes: J16 J24 J31 J71 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-75556-0_36

Ordering information: This item can be ordered from
http://www.springer.com/9783030755560

DOI: 10.1007/978-3-030-75556-0_36

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().