14个欧盟国家男女月薪决定因素之间的差异

Equilibrium Pub Date : 2021-09-30 DOI:10.24136/eq.2021.018
Aleksandra Matuszewska-Janica, D. Witkowska
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引用次数: 2

摘要

研究背景:文献中对劳动力市场中的男女状况进行了广泛的讨论,特别是对他们薪酬差异的讨论。由于女性是一个略有不同的雇员群体,与男性雇员相比,某些因素对她们的薪酬水平有不同的影响。因此,问题来了,是哪些因素导致了这些差异,差异有多大。文章的目的:本研究的目的是诊断和评估指定决定因素对选定欧盟成员国男女月薪水平影响的差异。我们方法的新颖之处在于比较了受试因素对男性的影响强度?s和女人?的收入,以及男女员工薪酬的全球方法。方法:由于因变量(薪酬十分位数,这是一个在序数表上测量的变量)的性质,在分析中应用了有序logit模型。数据来自欧盟统计局?的劳动力调查。研究结果和附加值:研究结果表明,许多因素对男性和女性工资水平的影响强度显著不同。然而,对于一组最常见的家庭变量,以及描述工作条件、人力资本变量和工作场所特征的变量,男女估计的参数之间的显著差异是显而易见的。本文在实证文献中增加了一种新的方法来衡量影响男性和女性工资的因素的强度。此外,我们的调查是一项跨国分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Differences between determinants of men and women monthly wages across fourteen European Union states
Research background: There is a broad discussion in the literature on the situation of men and women in the labour market, especially about the differences in their remuneration. Due to the fact that females constitute a slightly different group of employees, certain factors have different impacts on the level of their remuneration in comparison to male employees. Hence, the question arises which factors cause these differences and how large the dissimilarities are. Purpose of the article: The aim of the presented study is to diagnose and evaluate differences in the impact of designated determinants on the level of monthly wages of women and men in selected European Union member states. The novelty of our approach consists in both comparison of the intensity of influence examined factors to men?s and women?s earnings, and a global approach to the remuneration of male and female employees. Methods: Due to the nature of the dependent variable (remuneration decile, which is a variable measured on an ordinal scale), the ordered logit model is applied in the analysis. The data comes from the Eurostat?s Labour Force Survey. Findings & value added: Presented results indicate that many factors have significantly different intensity of impact on the level of men and women wages. However, significant differences between parameters estimated for both genders are visible for the group of family variables the most often, then for variables describing the condition of work, the human capital variables, and characteristics of the workplace. This paper adds to the empirical literature a new approach to measure the intensity of factors influencing men and women wages. In addition, our investigation is a cross-country analysis.
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