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首页> 外文期刊>Review of Income and Wealth >MEASURING (IN)SECURITY IN THE EVENT OF UNEMPLOYMENT: ARE WE FORGETTING SOMEONE?
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MEASURING (IN)SECURITY IN THE EVENT OF UNEMPLOYMENT: ARE WE FORGETTING SOMEONE?

机译：在失业事件中衡量（不）安全性：我们正在忘记某人吗？

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摘要

In this paper we argue that the consequences of the unemployment risk may be quite different according to the number of household members who depend on the income of the earners. We propose new measures for the aggregate economic (in)security related to employment risk, that take into account the household composition: a per-earner amount corresponding to the aggregate equivalent expected loss, and the inactive-unemployed dependency rate (IUDR), i.e. the average number of persons not in the labor force that each unemployed has to provide for (beyond herself). Both have a simple interpretation but the latter has an advantage in terms of data-requirement. Our results suggest that the overall level of insecurity associated with similar unemployment and replacement rates increases if we consider all the individuals in the households that are potentially affected by this risk. Moreover, the use of net rather than gross incomes and of micro-level data changes quite significantly the relative position of countries in terms of insecurity levels.
机译：在本文中，我们认为，根据依赖于收入者收入的家庭成员的数量，失业风险的后果可能会完全不同。我们针对与就业风险相关的总体经济（不安全）提出了新的衡量标准，其中应考虑到家庭构成：与总等价预期损失相对应的每位劳动者数量，以及未就业的dependency养率（IUDR），即每个失业者必须提供的平均劳动力以外的平均人数（超出自己的水平）。两者都有简单的解释，但后者在数据需求方面具有优势。我们的结果表明，如果我们考虑家庭中受此风险潜在影响的所有个人，与类似失业率和重置率相关的总体不安全感会增加。此外，使用净收入而不是总收入和微观数据大大改变了各国在不安全水平方面的相对地位。

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  • 来源
    《Review of Income and Wealth》 |2014年第maysuppla期|77-97|共21页
  • 作者

    Gabriella Berloffa; Francesca Modena;

  • 作者单位

    Department of Economics and Management, University of Trento;

    Department of Economics and Management, University of Trento;

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  • 正文语种 eng
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