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Income inequality and wage differentials: A quantile regression approach.

机译:收入不平等和工资差异:分位数回归方法。

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摘要

This dissertation consists of three essays on quantile regression applications to labor economics issues; more specifically, wage inequality and the gender wage gap. In the last ten years the empirical literature using quantile regression has increased significantly, and a considerable number of these applications have been on labor economics related topics.;Using quantile regression I seek a richer description of the problem of wage inequality in Brazil and the gender wage gap in the United States. In the first essay, I apply Machado and Mata's (2000) methodology to simulate marginal distributions from the quantile regression process, and then investigate sources of high wage inequality in Brazil. The results show that we had a real wage loss over the period and the returns to workers characteristics contributed to that.;The second chapter (co-authored with Tiago Cavalcanti) applies quantile regression techniques to the well-known Oaxaca coefficient of discrimination. This methodology provides different coefficients for different quantiles of the conditional wage distribution and is more informative than the technique based on OLS regression. Results show that the part of the wage gap not explained by differences in skills between the genders is higher at the upper quantiles of the conditional wage distribution, suggesting that "discrimination" against women increases as we move from low to high quantiles.;The third chapter provides a descriptive analysis of the gender wage gap using quantile regression. Many studies have examined the gender wage gap in the United States but this is the first to provide systematic analysis of the gender wage gap using quantile regression over time. Using data from both the March Current Population Survey (CPS) and the Outgoing Rotation Group files of the CPS, I find a narrowing of the gender wage gap over time. Furthermore there is a great deal of heterogeneity across quantiles of the conditional wage distribution of wages by gender. Although the gender pay gap has declined dramatically in recent decades, not all women gained form this change equally.
机译:本文由三篇关于分位数回归应用于劳动经济学问题的论文组成。更具体地说,工资不平等和性别工资差距。在过去的十年中,使用分位数回归的经验文献已显着增加,其中相当多的应用涉及劳动经济学相关主题。使用分位数回归,我寻求对巴西工资不平等问题和性别的更详尽描述。美国的工资差距。在第一篇文章中,我应用Machado和Mata(2000)的方法来模拟分位数回归过程中的边际分布,然后研究巴西高工资不平等的根源。结果表明,我们在此期间出现了实际的工资损失,而工人的回报特征对此有所贡献。第二章(与Tiago Cavalcanti合着)将分位数回归技术应用于著名的瓦哈卡歧视系数。该方法为条件工资分布的不同分位数提供了不同的系数,并且比基于OLS回归的技术更具参考价值。结果表明,在有条件工资分布的较高分位数上,不能由性别之间的技能差异解释的部分工资差距较高,这表明随着我们从低分位数到高分位数的转变,对妇女的“歧视”也在增加。本章使用分位数回归对性别工资差距进行描述性分析。许多研究已经检查了美国的性别工资差距,但这是第一项通过时间分位数回归对性别工资差距进行系统分析的方法。通过使用来自CPS的3月当前人口调查(CPS)和外向轮岗组文件的数据,我发现随着时间的推移,性别工资差距正在缩小。此外,按性别划分的有条件工资分布的分位数之间存在很大的异质性。尽管近几十年来性别工资差距已大大减少,但并非所有妇女都能平等地获得这种变化。

著录项

  • 作者

    Guimaraes, Juliana Ferraz.;

  • 作者单位

    University of Illinois at Urbana-Champaign.;

  • 授予单位 University of Illinois at Urbana-Champaign.;
  • 学科 Womens Studies.;Economics Labor.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 144 p.
  • 总页数 144
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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