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Volumn 47, Issue 2, 1999, Pages 289-312

The gender wage gap in three African countries

Author keywords

[No Author keywords available]

Indexed keywords

GENDER DISPARITY; INCOME DISTRIBUTION; WAGE GAP;

EID: 0032956371     PISSN: 00130079     EISSN: None     Source Type: Journal    
DOI: 10.1086/452402     Document Type: Article
Times cited : (82)

References (31)
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    • R. Brown, M. Moon, and B. Zoloth, "Incorporating Occupational Attainment in Studies of Male-Female Earnings Differentials," Journal of Human Resources 15 (1980): 3-28; W. Even and D. Macpherson, "The Decline of Private-Sector Unionism and the Gender Wage Gap," Journal of Human Resources 28 (1993): 279-96; and D. J. Doiron and W. C. Riddell, "The Impact of Unionization on Male-Female Earnings Differences in Canada," Journal of Human Resources 24 (1994): 504-34.
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    • R. Brown, M. Moon, and B. Zoloth, "Incorporating Occupational Attainment in Studies of Male-Female Earnings Differentials," Journal of Human Resources 15 (1980): 3-28; W. Even and D. Macpherson, "The Decline of Private-Sector Unionism and the Gender Wage Gap," Journal of Human Resources 28 (1993): 279-96; and D. J. Doiron and W. C. Riddell, "The Impact of Unionization on Male-Female Earnings Differences in Canada," Journal of Human Resources 24 (1994): 504-34.
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    • See Oaxaca
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    • See Neumark
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    • See Oaxaca and Ransom; Cotton
    • See Oaxaca and Ransom; Cotton.
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    • See Even and Macpherson; Doiron and Riddell
    • See Even and Macpherson; Doiron and Riddell.
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    • note
    • This difference in age ranges may cause problems of comparability between the surveys. However, in response to the suggestion of a referee, we restricted the Ivorian and Ugandan samples to those over 25 years of age (results not reported but available on request). We found similar parameter estimates and variable means - with the obvious exception of the potential experience variables. Consequently, we are confident that the results are robust to age effects.
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    • For example, at the recommendation of a referee, we excluded variables for parental occupation and education from the earnings functions. When included directly in the earnings functions, these had a large effect in Ethiopia (see P. Krishnan, "Family Background, Education and Employment in Urban Ethiopia," Oxford Bulletin of Economics and Statistics 58 [1996]: 167-83). Excluding them from the earnings functions but not the logits (as in this article) increases the significance of the selectivity terms.
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    • See Oaxaca (n. 9 above); and Oaxaca and Ransom (n. 10 above). The parameter estimates used to generate these results are based on the wage equations reported in appendix tables Al-A4. (The multinomial logits used to derive the predicted probabilities and the inverse Mill's ratios are not reported here; they are available on request.)
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    • note
    • In reality, large scale retrenchments are likely to be associated with changes in the earnings structure. Retrenchment would be selective, but we have no information on the criteria likely to be used in the process.
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