Polish inequality statistics reconsidered: are the poor really that poor?

Q4 Mathematics Statistics in Transition Pub Date : 2022-09-01 DOI:10.2478/stattrans-2022-0031
A. Szulc
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引用次数: 0

Abstract

Abstract In the present study income inequality in Poland is evaluated using corrected income data to provide more reliable estimates. According to most empirical studies based on household surveys and considering the European standards, the recent income inequality in Poland is moderate and decreased significantly after reaching its peaks during the first decade of the 21st century. These findings were challenged by Brzeziński et al. (2022), who placed Polish income inequality among the highest in Europe. Such a conclusion was possible when combining the household survey data with information on personal income tax. In the present study the above-mentioned findings are further explored using 2014 and 2015 data and employing additional corrections to the household survey incomes. Incomes of the poorest people are replaced by their predictions made on a large set of well-being correlates, using the hierarchical correlation reconstruction. Applying this method together with the corrections based on Brzeziński’s et al. results reduces the 2014 and 2015 revised Gini indices, still keeping them above the values obtained with the use of the survey data only. It seems that the hierarchical correlation reconstruction offers more accurate proxies to the actual low incomes, while matching tax data provides better proxies to the top incomes.
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重新审视波兰的不平等统计数据:穷人真的那么穷吗?
摘要在本研究中,使用校正后的收入数据对波兰的收入不平等进行了评估,以提供更可靠的估计。根据大多数基于家庭调查并考虑到欧洲标准的实证研究,波兰最近的收入不平等是温和的,在21世纪头十年达到峰值后显著减少。这些发现受到了Brzeziński等人的质疑。(2022),他将波兰的收入不平等列为欧洲最高的国家之一。当将家庭调查数据与个人所得税信息相结合时,这样的结论是可能的。在本研究中,使用2014年和2015年的数据,并对家庭调查收入进行额外修正,进一步探讨了上述发现。最贫穷的人的收入被他们使用层次相关性重建对一大组幸福感相关性的预测所取代。将该方法与基于Brzeziński等人的修正相结合使用。结果降低了2014年和2015年修订的基尼系数,仍保持在仅使用调查数据获得的值之上。层级相关性重建似乎为实际低收入提供了更准确的指标,而匹配的税收数据则为最高收入提供了更好的指标。
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来源期刊
Statistics in Transition
Statistics in Transition Decision Sciences-Statistics, Probability and Uncertainty
CiteScore
1.00
自引率
0.00%
发文量
0
审稿时长
9 weeks
期刊介绍: Statistics in Transition (SiT) is an international journal published jointly by the Polish Statistical Association (PTS) and the Central Statistical Office of Poland (CSO/GUS), which sponsors this publication. Launched in 1993, it was issued twice a year until 2006; since then it appears - under a slightly changed title, Statistics in Transition new series - three times a year; and after 2013 as a regular quarterly journal." The journal provides a forum for exchange of ideas and experience amongst members of international community of statisticians, data producers and users, including researchers, teachers, policy makers and the general public. Its initially dominating focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy has gradually been extended to embracing statistical problems related to development and modernization of the system of public (official) statistics, in general.
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