经济学中的性别薪酬差距:对制度因素的深入研究

IF 4.5 3区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY
MinSub Kim, Joyce J. Chen, Bruce A. Weinberg
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引用次数: 1

摘要

利用研究生终身教职教师的丰富数据,我们探讨了经济学和农业/应用经济学学术部门的性别薪酬差距及其之间的差异。我们发现经济学和农业/应用经济学的性别薪酬差距分别为8.3%和4.1%,控制了教师级别,经验和大学所属。性别薪酬差距随着级别的增加而增加,在不同的机构中也有所不同。生产率是工资的一个重要决定因素,但它几乎不能解释性别收入差距。虽然农业/应用经济学中无法解释的差距较小值得称赞,但担任助理教授和副教授的女性比例更高是部分原因。考虑到制度差异,我们探讨了制度因素——回报差异对观察到的特征(如排名)的影响程度;未被注意的特征;薪酬水平的制度差异也导致了性别薪酬差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Gender pay gaps in economics: A deeper look at institutional factors

Gender pay gaps in economics: A deeper look at institutional factors

Using rich data on graduate tenure-track faculty, we explore the gender pay gap in academic departments of economics and agricultural/applied economics and the differences between them. We find that the gender pay gaps in economics and agricultural/applied economics are 8.3% and 4.1%, respectively, controlling for faculty rank, experience, and university affiliation. The gender pay gap increases with rank and varies across institutions. Productivity is an important determinant of wages but it explains little of the gender pay gap. While the lower unexplained gap in agricultural/applied economics is laudable, a greater share of women who are assistant and associate professors is part of the explanation. Given institutional differences, we explore the extent to which institutional factors—differences in the returns to observed characteristics, such as rank; unobserved characteristics; and institutional differences in pay levels—contribute to the gender pay gap.

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来源期刊
Agricultural Economics
Agricultural Economics 管理科学-农业经济与政策
CiteScore
7.30
自引率
4.90%
发文量
62
审稿时长
3 months
期刊介绍: Agricultural Economics aims to disseminate the most important research results and policy analyses in our discipline, from all regions of the world. Topical coverage ranges from consumption and nutrition to land use and the environment, at every scale of analysis from households to markets and the macro-economy. Applicable methodologies include econometric estimation and statistical hypothesis testing, optimization and simulation models, descriptive reviews and policy analyses. We particularly encourage submission of empirical work that can be replicated and tested by others.
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