基于经验的线性所得税制度

IF 1.3 4区 社会学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
G. Jasso, B. Wegener
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引用次数: 1

摘要

摘要本文发展并说明了一种经验设计人们会认为公平的所得税制度的方法。本文从经典的税收正义原则出发,即随着税前收入的增加,税后收入、税额和税率三个量也应该增加。GSOEP关于居民税前收入和税后收入的数据被认为是公平的,用来估计一个公正的线性所得税制度。分析结果包括一个标志性的税收制度标准形式,显示了穷人和富人的命运交织在一起,以及威胁公平的条件。实证结果表明,估计的税收制度降低了大多数受访者的税收,特别是相对较穷的人,并大大减少了不平等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An empirically based just linear income tax system
ABSTRACT This paper develops and illustrates a method for empirically designing an income tax system that people will regard as fair. The paper begins with the classical Principles of Tax Justice, viz., as pretax income increases, three quantities should also increase – posttax income, tax amount, and tax rate. GSOEP data on residents’ pretax income and the posttax income they regard as fair are used to estimate a just linear income tax system. Analytic results include a signature standard form of the tax system showing the intertwined fates of poor and rich and the conditions which threaten fairness. Empirical results show that the estimated tax system lowers taxes for a majority of respondents, especially the relatively poorer, and substantially reduces inequality.
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来源期刊
Journal of Mathematical Sociology
Journal of Mathematical Sociology 数学-数学跨学科应用
CiteScore
2.90
自引率
10.00%
发文量
5
审稿时长
>12 weeks
期刊介绍: The goal of the Journal of Mathematical Sociology is to publish models and mathematical techniques that would likely be useful to professional sociologists. The Journal also welcomes papers of mutual interest to social scientists and other social and behavioral scientists, as well as papers by non-social scientists that may encourage fruitful connections between sociology and other disciplines. Reviews of new or developing areas of mathematics and mathematical modeling that may have significant applications in sociology will also be considered. The Journal of Mathematical Sociology is published in association with the International Network for Social Network Analysis, the Japanese Association for Mathematical Sociology, the Mathematical Sociology Section of the American Sociological Association, and the Methodology Section of the American Sociological Association.
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