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使用概率密度函数的拐点对收入阶级界限的新评估:巴西的一个案例研究
Rafael Bittencourt1,2, Hernane Borges de Barros Pereira1,3, Marcelo A Moret1,3
1Modelagem Computacional, Universidade SENAI CIMATEC, Salvador 41650-010, Bahia, Brazil.
Entropy (Basel, Switzerland)
|February 26, 2025
概括
本研究引入了一种新的统计方法,用于定义使用概率密度函数拐点的收入类. 该方法准确地对人口进行分类,有助于政策制定和市场分析.
科学领域:
- 经济学 经济学 经济学
- 统计 统计 统计 统计
- 社会学 社会学 社会学
背景情况:
- 有效的收入分类对于政策制定和市场分析至关重要.
- 现有的方法可能无法完全捕捉动态收入分配转移.
- 准确的收入细分为经济战略和社会福利计划提供了信息.
研究的目的:
- 开发和验证一种新的统计方法来对人口收入类别进行分类.
- 将该方法应用于巴西的收入数据,并分析收入分布的时间变化.
- 为收入细分提供更准确,更动态的方法.
主要方法:
- 使用全国收入分配调查数据集.
- 开发了一个使用金属学分布及其概率密度函数 (PDF) 的统计模型.
- 使用PDF的转折点来定义收入类边界,应用于个人收入数据.
主要成果:
- 根据巴西收入数据 (2012-2022) 的PDF转折点,确定了五个不同的收入类.
- 在研究期间观察到收入阶级边界和人口分布的动态变化.
- 通过计算吉尼系数验证了该方法,与官方数据相比,实现了根平均平方偏差低于1%.
结论:
- 拟议的方法为收入类别分类提供了强有力的和动态的方法.
- 使用个人收入数据可以减轻与家庭规模变化相关的偏见.
- 调查结果强调了适应性收入细分对于政策和市场分析的重要性.
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