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Do Cognitive and Noncognitive Skills Explain the Gender Wage Gap in Middle-Income Countries? An Analysis Using STEP Data
Authors: --- ---
Year: 2016 Publisher: Washington, D.C. : The World Bank,

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Abstract

Gender-based wage discrimination is a highly researched area of labor economics. However, most studies on this topic have focused on schooling and paid limited attention to the mechanisms through which cognitive and noncognitive skills influence wages. This paper uses data from adults in seven low- and middle-income countries that participated in the STEP Skills Measurement Survey to conduct a comparative analysis of gender wage gaps. The paper uses schooling and skills measures, including reading proficiency and complexity of on-the-job computer tasks to proxy cognitive skills, and personality and behavioral measures to proxy for noncognitive skills in wage decompositions. The analysis finds that years of school explain most of the gender wage gap. The findings also suggest that cognitive and noncognitive skills affect men's and women's earnings in different ways, and that the effects of these skills vary across the wage distribution and between countries.


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Are There Skills Payoffs in Low- and Middle-Income Countries? Empirical Evidence Using STEP Data
Authors: --- --- ---
Year: 2016 Publisher: Washington, D.C. : The World Bank,

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Most research on the economic payoffs of skills has used individuals' level of schooling attained-typically years or level of education or training received-as a key proxy for skills. Such research has consistently found that individual returns to schooling are positive and that returns tend to be higher in low- and middle-income countries than in higher-income countries. However, years in school is only one proxy for skills-are these returns still observed using other measures as proxies? This study uses data from the STEP Skills Measurement Survey to examine the extent to which there is an independent association between cognitive and noncognitive skills and earnings in low- and middle-income countries. The study uses measures of reading proficiency and complexity of on-the-job computer tasks to proxy cognitive skills, and personality and behavioral measures to proxy noncognitive skills. The results demonstrate that even when controlling for schooling and background factors, these skills pay off in the labor market. This is particularly the case for the measures of cognitive skills, while noncognitive skills show some significant, but small, effects on earnings. The findings also suggest that there is significant heterogeneity across countries in how skills are valued in the labor market.

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