俄罗斯家庭收入少报的不平等和贫困统计分析

S. V. Arzhenovskiy
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摘要

文章的主题是研究不平等和贫困问题,同时考虑到家庭收入报告不足的问题。研究的目的是根据全俄消费者金融调查(2013、2015、2018、2020 和 2022 年)的代表性数据,估算家庭少报收入及其对平滑收入不平等和贫困的影响。分析个别人口群体的不平等变化以及个别收入来源对不平等的贡献,包括那些隐藏在统计观察中的收入来源,都是有意义的。本研究的新颖之处在于获得了家庭收入漏报的估计值,以及根据特定数据分析其对平滑收入不平等和贫困的影响的结果。估算结果与之前根据俄罗斯纵向监测调查--高等经济学院的数据得出的结果有所不同。结果显示,在 2013 年至 2022 年期间,报告不足的收入在家庭可支配资源中所占比例平均约为 20%,平均每年下降 2.3%。按收入来源对基尼指数进行分解后得出的结论是,非贫困人口是造成不平等的主要原因。按收入来源计算贫困家庭和非贫困家庭的基尼收入弹性(考虑到少报收入的估算部分),可以看出它们对不平等的影响是不同的。工资和社会转移会加剧贫困家庭的不平等,而不会加剧非贫困家庭的不平等。估计少报收入对贫困家庭群体的影响更大。同时,在危机后的 2015 年和大流行的 2020 年,非贫困家庭群体的不平等程度也会增加。考虑到 "少报收入 "对俄罗斯人口减贫和生活水平均等化的影响,研究结果将为社会政策制定者提供重要信息。
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Statistical Analysis of Ineqality and Poverty with Under-Reporting Incomes of Russian Households
The subject of the article is the study of inequality and poverty, taking into account under-reporting household income. The purpose of the research was to estimate the under-reporting incomes of households and their impact on the smoothing income inequality and poverty based on representative data of the All-Russian Survey of Consumer Finance (2013, 2015, 2018, 2020 and 2022). It is relevant to analyze changes in inequality for individual population groups, as well as the contribution to inequality of individual sources of income, including those hidden from statistical observation. The novelty of the study is the obtained estimates of under-reporting household income, as well as the results of an analysis of their impact on smoothing income inequality and poverty based on the specified dataThe methodology included the use of econometric modeling according to the Pissarides – Weber approach, as well as decomposition of the Gini elasticity by income sources based on the Lerman – Yitzhaki algorithm. The results of estimations differ from those previously obtained according to the data of the Russia Longitudinal Monitoring Survey – Higher School of Economics. The resulting share of under- reporting income in the disposable resources of households averaged about 20% for 2013 to 2022 and decreased by 2,3% on average per year. Decomposition of the Gini index by income sources led to the conclusion that the main contribution to inequality was made by the non-poor population. Calculation of Gini income elasticities by income sources for poor and non-poor households (taking into account the imputed component of under-reporting income) revealed their differently directed impact on inequality. Wages and social transfers increase inequality among the poor and do not increase inequality among non-poor households. Estimating under-reporting income was higher for the group of poor households. At the same time, this component increased inequality in the post-crisis year 2015 and in the pandemic year 2020 for the group of non-poor households. The obtained results will provide important information to social policy makers, taking into account the influence of under-reporting income` on the poverty reduction and equalization of the standard of living of the Russian population
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