波兰家庭和儿童津贴对收入不平等的影响。收入来源的基尼系数分解

E. Wędrowska, J. Muszyńska
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摘要

摘要研究背景:本文分析了波兰不同收入来源对收入不平等程度的影响,重点研究了2015-2017年家庭和儿童相关津贴在减少收入不平等方面的作用。因此,这项研究的重点是有孩子的家庭的各个亚组。目的:本文旨在研究与家庭和儿童有关的津贴对家庭收入不平等的影响程度,并确定它们是否以同样的方式影响不同家庭群体的不平等。方法:这项研究是根据欧盟统计局收集的微观数据进行的。为了检验不同收入成分对收入不平等的影响程度,我们根据Lerman和Yitzhaki提出的方法对基尼系数进行分解。结果:我们的研究显示,对于大多数有孩子的家庭来说,与2015年相比,2017年与家庭和孩子相关的补贴减少了不平等的影响。然而,尽管在“家庭500+”方案下有额外的抚养子女津贴,所得税和社会保障缴款仍然是减少波兰家庭收入不平等的最重要因素。新颖性:据我们所知,目前还没有研究试图根据真实数据评估家庭和子女补贴对收入不平等的影响程度。本文的分析为填补这一空白迈出了一步。与其他基于微观模拟的研究不同,本文中我们使用了来自EU-SILC研究的具有代表性的微观数据。
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The Impact of Family and Child-Allowances on Income Inequality in Poland. Gini Decomposition by Income Sources
Abstract Research background: This paper analyses how different income sources affect the level of inequality in Poland, with focus on the role of family and children related allowances in decreasing income inequalities in 2015–2017. Therefore, the study has focused on the various subgroups of households with children. Purpose: The paper is aimed at examining the extent to which family and children related allowances affect household income inequality and identifying whether they affect inequality in various groups of households in the same way. Methodology: The study was carried out on micro-data gathered by Eurostat. To examine the extent to which different income components affect income inequality, we decompose the Gini coefficient according to the method introduced by Lerman and Yitzhaki. Results: Our study revealed that for most households with children, the inequality-reducing effect due to family and children related allowances increased in 2017 compared to 2015. However, despite the additional child-raising benefit under the “Family 500+” programme, income taxes and social security contributions remained by far the most important factor in reducing household income inequalities in Poland. Novelty: To our knowledge, no study has yet attempted to assess the extent to which family and child-allowances affect income inequality based on real data. The present analysis takes a step towards filling this gap. Unlike other studies based on microsimulation, in this paper we made use of the representative micro-data derived from the EU-SILC study.
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