首页> 外文期刊>Agricultural Economics >Assessment of the income situation of households in the Czech Republic
【24h】

Assessment of the income situation of households in the Czech Republic

机译:捷克共和国家庭收入状况评估

获取原文
           

摘要

The paper deals with the assessment of income situation of households in the Czech Republic. The primary source for the analysis were the data of the survey EU-SILC European Union – Statistics on Income and Living Conditions. The basic variable for the analysis is the level of the household income in 2005–2008. In addition to the decile classification, characteristics such as the average income per one household member, poverty threshold, poverty depth coefficient, Lorenz curve and Gini coefficient. were calculated in order to evaluate the income situation. The results show an increase of the average household income. The Lorenz curve followed by the Gini coefficient demonstrate the uniformity of distribution of income values. The results show a decreasing income differentiation. The poverty threshold was defined on the level of 60% of the median value and with this given threshold, the households were assessed, whether they belong to the ones at the risk of poverty. The results reveal a decreasing number of households at the risk of poverty. The poverty depth coefficient has a stronger explanatory power and shows how far below the poverty threshold the households are, or what is an income deficit of these households. Each category of households at the risk of poverty varies with the depth of poverty. The analysis also provides the results of how the households' income situation or poverty is perceived by the households themselves.
机译:该文件涉及捷克共和国家庭收入状况的评估。该分析的主要来源是欧盟-SILC欧盟调查–收入和生活状况统计数据。分析的基本变量是2005-2008年家庭收入水平。除十分位数分类外,还包括每个家庭成员的平均收入,贫困线阈值,贫困深度系数,洛伦兹曲线和基尼系数等特征。为了评估收入状况进行了计算。结果表明,平均家庭收入有所增加。洛伦兹曲线后面是基尼系数,证明了收入值分布的均匀性。结果表明,收入分化程度有所降低。贫困阈值的定义是中位数的60%,并在此给定阈值下评估了家庭是否属于处于贫困风险中的家庭。结果表明,面临贫困风险的家庭数量正在减少。贫困深度系数具有更强的解释力,它显示了这些家庭距离贫困线以下的距离或这些家庭的收入赤字是多少。处于贫困风险中的每一类家庭都随着贫困的深度而变化。分析还提供了家庭自己如何看待家庭的收入状况或贫困的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号