为什么在各国收入比较中,就学差距缩小,而工资差距却持续存在?

IF 1.9 3区 经济学 Q2 ECONOMICS
Pantelis Karapanagiotis , Paul Reimers
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引用次数: 0

摘要

由于高收入国家的服务业更加突出,就学差距缩小,有偿工时差距缩小。尽管在不同国家收入组别中,男女工资不平等现象依然存在,但男女之间的受教育年限差距却在缩小。我们收集了一个新颖的数据集,校准了一个多部门、多性别和生产技术的一般均衡模型,并表明即使在工资差距持续存在的情况下,特定性别部门的比较优势也能解释从低收入经济体到高收入经济体的带薪工时和受教育年限差距的缩小。此外,我们的反事实分析表明,收入群体和性别间的消费自给性和生产份额异质性对于解释就学和带薪工时差距的共同下降至关重要。我们的研究结果凸显了旨在减少学校教育中性别不平等的政策的有效机制,并表明在高收入国家观察到的学校教育差距的缩小和女性有偿工作的非虚拟化是由结构部门的变动而不是工资不平等的减少联系在一起的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Why does the schooling gap close while the wage gap persists across country income comparisons?

The schooling gap diminishes because the services sector becomes more pronounced for high-income countries, and the paid hours gap closes. Although gender wage inequality persists across country income groups, differences in schooling years between females and males diminish. We assemble a novel dataset, calibrate a general equilibrium, multi-sector, -gender, and -production technology model, and show that gender-specific sectoral comparative advantages explain the paid hours and schooling gap decline from low- to high-income economies even when the wage gap persists. Additionally, our counterfactual analyses indicate that consumption subsistence and production share heterogeneity across both income groups and genders are essential to explain the co-decline of the schooling and paid hours gaps. Our results highlight effective mechanisms for policies aiming to reduce gender inequality in schooling and suggest that the schooling gap decline and the de-invisibilization of female paid work observed in high-income countries are linked by structural sector movements instead of wage inequality reductions.

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来源期刊
CiteScore
3.10
自引率
10.50%
发文量
199
期刊介绍: The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.
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