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

Author:

Szulc Adam1ORCID

Affiliation:

1. Warsaw School of Economics, Institute of Statistics and Demography , Poland .

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.

Publisher

Polskie Towarzystwo Statystyczne

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference25 articles.

1. Altman, E. I., (1968). Financial Ratios, Discriminant Analysis and the Prediction of the Corporate Bankruptcy. The Journal of Finance, Vol. 23, pp. 589–609.10.1111/j.1540-6261.1968.tb00843.x

2. Bartels, C., Metzing, M., (2019). An integrated approach for a top-corrected income distribution. Journal of Economic Inequality, Vol. 17, pp. 125–143.10.1007/s10888-018-9394-x

3. Blanchet, T., Flores, I. and Morgan, M., (2018). The weight of the rich: Improving surveys using tax data. WID.world Working Paper Series No. 2018/12, World Inequality Lab, retrieved from https://pdfs.semanticscholar.org/71d4/c87af7224d185bdd9adee4ea22fcd1edc879.pdf

4. Brzeziński, M., Myck, M. and Najsztub, M., (2022). Sharing the gains of transition: Evaluating changes in income inequality and redistribution in Poland using combined survey and tax return data, forthcoming in European Journal of Political Economy.10.1016/j.ejpoleco.2021.102121

5. Brzeziński, M., Najsztub, M., (2017). The impact of “Family 500+ programme on household incomes, poverty and inequality. Polityka Społeczna, Vol. 44, pp. 16–25.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3