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A note on the impact of hours worked on mortality in OECD countries

机译:关于工作时间对经合组织国家死亡率的影响的说明

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Recent research has put into new light the impact that economic downturn has on individuals' health [1,2,3,4]. An analysis of United States data for the years 1972-1991, for example, revealed that a one percentage point rise in unemployment led to a 0.5-0.6% reduction in overall mortality, including a decline in deaths from heart disease by 0.5%, those from influenza/pneumonia by 0.7%, and those from vehicle accidents by 3% [1], Similarly, a study of 23 OECD countries over the period 1960-1997 found that a one percentage point rise in unemployment was associated with 0.4% lower overall mortality and a reduction in the number of deaths from heart disease by 0.4%, those from influenza/pneumonia by 1.1%, and those from motor vehicle accidents by 1.8% [3]. These studies have in common that instead of using a pure time series analyses, which was the case in many earlier studies (e.g., [5,6,7]), they employ fixed effects models. In these models the within-state or within -region variation in the unemployment rate is used together with other control variables to explain the within-state or with-in-region variation in various measures of health, such as mortality rates. As can be guessed, the major problem with earlier time series analyses is that they did not properly control for confounding factors, and that a positive relationship between the unemployment rate and mortality may be spurious.
机译:最近的研究揭示了经济衰退对个人健康的影响[1,2,3,4]。例如,对美国1972-1991年的数据进行的分析表明,失业率每上升1个百分点,总死亡率将下降0.5-0.6%,其中心脏病死亡人数将下降0.5%。同样,一项对1960-1997年间OECD 23个国家的研究表明,失业率上升了1个百分点,总体上下降了0.4%,而流感/肺炎的下降幅度为0.7%,车祸的下降幅度为3%心脏病死亡人数减少0.4%,流感/肺炎死亡人数减少1.1%,机动车事故死亡人数减少1.8%[3]。这些研究的共同点是,它们采用固定效应模型,而不是像许多早期研究(例如[5,6,7])那样使用纯时间序列分析。在这些模型中,失业率的州内或区域内变化与其他控制变量一起用于解释各种健康指标(例如死亡率)中的州内或区域内变化。可以猜到,早期时间序列分析的主要问题在于它们没有适当控制混杂因素,而且失业率与死亡率之间呈正相关可能是虚假的。

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