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Consumer surveys and the EU statistics on income and living conditions: friends or foes?

机译:消费者调查和欧盟关于收入和生活条件的统计数据:朋友还是敌人?

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摘要

To assess the quality of life in its member states, the EU has introduced the statistics on income and living conditions (EU-SILC), purposed to quantify the poverty levels and social problems in individual countries. Although EU-SILC is quite valuable from a policy perspective, because of its annual frequency it is not able to fully capture the dynamics of turbulent changes in the social and economic dimensions of households' well-being. To counteract that, this paper aims to complement the EU-SILC project by consumer survey (CS) data for 11 new EU member states. To be specific, three temporal disaggregation methods are employed on three CS variables (concerning the financial situation of households) in order to obtain quarterly estimates of risk of poverty and social exclusion. The authors find that the Chow-Lin disaggregation technique convincingly outperforms the other two competing models (Fernandez and Litterman approach), yielding considerably accurate quarterly estimates of poverty risk.
机译:为了评估其成员国的生活质量,欧盟引入了有关收入和生活条件的统计数据(EU-SILC),旨在量化各个国家的贫困水平和社会问题。尽管从政策角度来看,EU-SILC的价值很高,但由于其年度频率,它无法完全反映家庭福祉的社会和经济方面动荡变化的动态。为了解决这个问题,本文旨在通过11个新的欧盟成员国的消费者调查(CS)数据来补充EU-SILC项目。具体而言,针对三个CS变量(关于家庭的财务状况)采用了三种时间分解方法,以便获得对贫困和社会排斥风险的季度估计。作者发现,Chow-Lin分解技术令人信服地胜过其他两个竞争模型(Fernandez和Litterman方法),得出了相当准确的季度贫困风险估计。

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