在大学的交叉薪酬差距的随机建模
Tessa Barrett-Walker1, Franca Buelow2, Lindsey Te Atu O Tu MacDonald3
1School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand.
Royal Society open science
|October 13, 2023
概括
学术界的性别和种族薪酬差距比以前认为的要大. 女性和少数民族的职业生涯较短,与白人欧洲男性相比,他们的终身收入明显较低.
科学领域:
- 社会经济学 社会经济学
- 高等教育研究 高等教育研究
- 数学建模的数学建模
背景情况:
- 性别和种族的薪酬差距在学术界得到了充分记录.
- 现有研究通常使用静态快照或标准学术寿命模型.
- 对终身收入的细微理解需要考虑职业生涯的持续时间.
研究的目的:
- 调查大学学者之间终身收入差异的驱动因素.
- 探索职业生涯长度对性别和种族薪酬差距的影响.
- 建立一个框架来量化在学术界的工作生涯.
主要方法:
- 一个随机数学模型的开发.
- 劳动力进入和退出模式时纳入年龄.
- 在学术生涯中分析不同薪酬轨迹.
- 使用来自新西兰的国家数据进行参数化.
主要成果:
- 当考虑不同职业生涯的持续时间时,终身收入差距要大得多.
- 跨越所有种族的女性往往有较短的学术生涯.
- 女性和少数民族的终身收入明显低于白人欧洲男性.
结论:
- 职业生涯的长度是一个关键的,往往被低估的,学术薪酬差异的因素.
- 解决性别和种族薪酬差距的政策必须考虑职业进步和留守.
- 工作寿命的量化对于准确的收入差距分析至关重要.
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