Gender Discrimination in Earnings in Indonesia: A Fuller Picture

This article analyses data from the 2007 Indonesia Family Life Survey in order to decompose the gender gap in earnings into explained and unexplained gaps, not only at the mean but also across the entire distribution. Women earned about 30% less than men, in both paid work and self-employment. The explained gap accounts for only about a quarter of the gap in paid work but for about half of the gap in self-employment. When the decomposition is made across the earnings distribution, the total gap decreases with earnings in both paid work and self-employment, and both conditional and unconditional on characteristics. In both employment sectors, the explained gap remains similar across the distribution, and therefore the unexplained gap drives the decrease in the total gap. The unconditional decomposition across the distribution provides great insight into the dynamics that are obscured in results derived from decomposition at the mean.     

Inequality in South Africa: The distribution of income,expenditure and earnings

This article empirically analyses the state of inequality in South Africa. International comparisons show South Africa to be among the most unequal countries in the world. The levels of income inequality and earnings inequality are analysed with a range of measures and methods. The results quantify the extremely high level of inequality in South Africa. Earnings inequality appears to be falling in recent years, with relative losses in the upper-middle parts of the earnings distribution. Decomposing income inequality by factor source reveals the importance of earnings in accounting for overall income inequality. The article concludes by observing that, internationally, significant sustained decreases in inequality rarely come about without policies aimed at achieving that, and suggests that strong policy interventions would be needed to reduce inequality in South Africa to levels that are in the range typically found internationally.     

数字经济背景下互联网的使用对民营企业员工性别工资差距的影响——基于员工受教育层次差异化特征的分析

基于2017年中国综合社会调查的民营企业员工数据,使用稳健最小二乘回归与Oaxaca分解法研究发现:互联网的使用将对未接受过教育以及仅接受过私塾扫盲班/小学教育的民营企业员工工资产生显著的负向影响;互联网的使用将对接受过初中及以上教育的民营企业员工工资产生显著的正向影响;随着民营企业员工受教育水平的提升,互联网的使用对民营企业女性员工工资的弹性影响远超男性;互联网的使用将扩大未接受过教育的民营企业女性员工与男性员工的工资差距;互联网的使用将缩小接受过私塾扫盲班/小学及以上教育的民营企业女性员工与男性员工的工资差距。据此提出,应加大公益互联网使用培训力度,以提升女性的互联网理性使用水平、加强清扫虚假网络平台以防止受教育层次较低女性误入歧途、鼓励女性自主接受多元化再教育以提升自身互联网理性使用水平等,以缩小民营企业员工性别工资差距。     

Designing Agricultural Technology for African Women Farmers: Lessons from 25 Years of Experience

African women farmers are less likely than men to adopt improved crop varieties and management systems. This paper addresses two issues: How does gender affect technology adoption among African farmers? How does the introduction of new technologies affect women's well-being? Three conclusions come out of an extensive and critical review of the literature. First, African households are complex and heterogeneous. Second, gender roles within African households and communities cannot be simply summarized. Third, gender roles and responsibilities are dynamic; they respond to changing economic circumstances. The paper demonstrates the complexity and importance of efforts to design interventions for African women.     

Gender,occupation, or workplace: what mattered for the gender gap in the Swedish tobacco industry?

Abstract

Historical studies on earnings differentials are largely based on group data and much less so on micro-level data. We use detailed information from a nationwide survey that matches employers and employees and covers the entire tobacco industry in Sweden in 1898. When comparing the labour market outcomes of women to those of men, we find that the cost of being female varied across branches, which contributed to the overall earnings gap in the industry. Earnings differentials reflect horizontal as well as vertical segregation. Female workers were concentrated in the low-skilled segments of tobacco work but were not kept out of the skilled and better paid segments. Alongside with this, there are indications of a glass ceiling pattern; gender mattered more at the top of earnings distribution than at the bottom deciles. Where men and women actually performed the same tasks, gender mattered less for earnings, but due to segregation this was not the situation for all workers.