How Accurate is the Kakwani Index in Predicting Whether a Tax or a Transfer is Equalizing?

A. Enami, Patricio Larroulet, N. Lustig
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引用次数: 2

Abstract

The Kakwani index of progressivity is commonly used to establish whetherthe effect of a specific tax or transfer is equalizing. In the presence ofreranking or Lambert’s conundrum, however, a progressive tax could beunequalizing. While it is mathematically possible for counter-intuitiveresults to occur, how common are they in actual fiscal systems? Using anovel dataset that includes fiscal-incidence results for 39 countries, we findthat the likelihood of the Kakwani index to be progressive (regressive),while the tax or transfer is unequalizing (equalizing), is minimal, except inthe case of indirect taxes: in roughly 25 per cent of our sample, regressiveindirect taxes are equalizing (sign-inconsistent cases). Additionally, thelikelihood that the Kakwani index ranks the magnitude of the impact of atax or transfer wrongly also exists but it too is small. Finally, usingregression analysis, we find that increasing the size or progressivity of aprogressive tax or transfer is equalizing and statistically robust forsign-consistent cases. For sign-inconsistent cases, the coefficient for theKakwani index is not statistically significant. In sum, although theKakwani index could yield interpretations that are inaccurate in actualfiscal systems, the risk seems small, except for indirect taxes.
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卡瓦尼指数在预测税收或转移是否均衡方面有多准确?
Kakwani累进指数通常用于确定特定税收或转移的效果是否均衡。然而,在存在排名或兰伯特难题的情况下,累进税可能会造成不平等。尽管数学上有可能出现违反直觉的结果,但它们在实际财政体系中有多普遍?使用包含39个国家财政事件结果的新数据集,我们发现除了间接税之外,Kakwani指数是累进的(累退的)而税收或转移是不均衡的(均衡的)的可能性很小:在我们大约25%的样本中,累退间接税是均衡的(符号不一致的情况)。此外,Kakwani指数也有可能对税收或转让的影响程度进行了错误的排序,但这种可能性也很小。最后,使用回归分析,我们发现增加累进税或转移的规模或累进性是平衡和统计上稳健的国外一致的情况。对于符号不一致的情况,kakwani指数的系数在统计上不显著。总而言之,尽管kakwani指数在实际财政体系中可能产生不准确的解释,但除了间接税之外,风险似乎很小。
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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