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Objective vs. subjective fuel poverty and self-assessed health

机译:目标与主观燃料贫困和自我评估健康

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摘要

Identification of fuel poverty and its impact on individuals is a growing social issue. Classifying households using subjective measures of fuel poverty yields different results than when objective measures are used. Moreover, there are assessment-related difficulties in establishing the effects on health and wellbeing, which hinders policy design to tackle this problem. In this paper, we propose a latent class ordered probit model to control for subjectivity when analysing the influence of fuel poverty on self-reported health. This methodology is applied to a sample of 25,000 individuals in 11,000 households for the 2011-2014 period in Spain, where 5.1 million people (11% of the population) could not afford to heat their homes to an adequate temperature in 2014. The results show that poor housing conditions, low income, material deprivation, and fuel poverty, have a negative impact on health. We also find that the effect of objective fuel poverty and other poverty-related factors on health are stronger when we control for unobserved heterogeneity among individuals. Since objective measures alone may not fully capture the adverse effect of fuel poverty on health, we advocate policy approaches that combine both objective and subjective measures and its application by policymakers. (C) 2020 Elsevier B.V. All rights reserved.
机译:鉴定燃料贫困及其对个人的影响是一种日益增长的社会问题。分类家庭使用燃料贫困的主观措施产生不同的结果,而不是使用客观措施时。此外,在建立对健康和福祉的影响方面存在与评估有关的困难,阻碍了政策设计来解决这个问题。在本文中,我们提出了一种潜在的阶级有序概率模型来控制主体性,分析燃料贫困对自我报告的健康影响。该方法应用于西班牙2011-2014期间为11,000户25,000名户的样本,其中510万人(人口的11%)无法在2014年将其们加热到足够的温度。结果表明贫困住房条件,低收入,物质剥夺和燃料贫困,对健康产生负面影响。我们还发现客观燃料贫困和其他与贫困相关因素对健康的影响更强,当我们控制个人之间的不妥协的异质性时更强大。由于单独的客观措施可能无法完全捕捉燃料贫困对健康的不利影响,因此提倡将目的和主观措施的政策方法及其由政策制定者的申请结合起来。 (c)2020 Elsevier B.v.保留所有权利。

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