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Analyzing Wage Differential by Gender Using an Earnings Function Approach Further Evidence from a Small Developing Economy

Analyzing Wage Differential by Gender Using an Earnings Function Approach Further Evidence from a... This study uses the primary data from Fiji to examine if gender differential with respect to wages exists and if education plays an important role in the prevalence of the wage gap in general. The results of the study indicate that the inconsistency in wages is affected by both education and gender variables. This high disparity in wages based on gender raises serious questions about the government's ability to meet the MDG targets as far as the reduction of gender inequality is concerned. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Asia Pacific Journal of Social Work and Development Taylor & Francis

Analyzing Wage Differential by Gender Using an Earnings Function Approach Further Evidence from a Small Developing Economy

14 pages

Analyzing Wage Differential by Gender Using an Earnings Function Approach Further Evidence from a Small Developing Economy

Abstract

This study uses the primary data from Fiji to examine if gender differential with respect to wages exists and if education plays an important role in the prevalence of the wage gap in general. The results of the study indicate that the inconsistency in wages is affected by both education and gender variables. This high disparity in wages based on gender raises serious questions about the government's ability to meet the MDG targets as far as the reduction of gender inequality is...
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Publisher
Taylor & Francis
Copyright
Copyright Taylor & Francis Group, LLC
ISSN
2165-0993
eISSN
0218-5385
DOI
10.1080/21650993.2007.9756021
Publisher site
See Article on Publisher Site

Abstract

This study uses the primary data from Fiji to examine if gender differential with respect to wages exists and if education plays an important role in the prevalence of the wage gap in general. The results of the study indicate that the inconsistency in wages is affected by both education and gender variables. This high disparity in wages based on gender raises serious questions about the government's ability to meet the MDG targets as far as the reduction of gender inequality is concerned.

Journal

Asia Pacific Journal of Social Work and DevelopmentTaylor & Francis

Published: Dec 1, 2007

Keywords: gender; Inequality; earnings function; education

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