第 mth 度逆随机优势的非参数检验

IF 2.1 4区经济学 Q2 ECONOMICS

Economics Letters Pub Date : 2024-09-21 DOI:10.1016/j.econlet.2024.111978

Hongyi Jiang , Zhenting Sun , Shiyun Hu

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引用次数: 0

摘要

本文提出了一种 mth 度反向随机占优的非参数检验，它是根据社会福利对分布函数进行排序的有力工具。我们基于经验过程理论构建了该检验。结果表明，该检验具有渐进的规模控制和一致性。我们通过蒙特卡罗模拟说明了该检验的良好有限样本特性。我们将检验应用于 1995 年至 2010 年英国的不平等增长情况，并获得了更完整的收入分布排名。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A nonparametric test of mth-degree inverse stochastic dominance

This paper proposes a nonparametric test for

m

th-degree inverse stochastic dominance which is a powerful tool for ranking distribution functions according to social welfare. We construct the test based on empirical process theory. The test is shown to be asymptotically size controlled and consistent. The good finite sample properties of the test are illustrated via Monte Carlo simulations. We apply our test to the inequality growth in the United Kingdom from 1995 to 2010, and obtain a more complete ranking of the income distributions.

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来源期刊

Economics Letters ECONOMICS-

CiteScore

3.20

自引率

5.00%

发文量

348

审稿时长

30 days

期刊介绍： Many economists today are concerned by the proliferation of journals and the concomitant labyrinth of research to be conquered in order to reach the specific information they require. To combat this tendency, Economics Letters has been conceived and designed outside the realm of the traditional economics journal. As a Letters Journal, it consists of concise communications (letters) that provide a means of rapid and efficient dissemination of new results, models and methods in all fields of economic research.