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首页> 外文期刊>Scandinavian journal of public health >Municipal unemployment and municipal typologies as predictors of disability pensioning in Norway: a multilevel analysis.
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Municipal unemployment and municipal typologies as predictors of disability pensioning in Norway: a multilevel analysis.

机译：城市失业和城市类型作为挪威残疾人养老金的预测指标：多层次分析。

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摘要

The rise in the number of disability pensioners in Norway has been given much attention by the government and by researchers due to the resulting financial and societal challenges entailed. Eligibility for a disability pension is decided by The Norwegian Labour and Welfare Administration (NAV), and is closely correlated with several socioeconomic predictors. Geographical differences have also been observed in the allocations to recipients of disability pensions, and the purpose of this study was to investigate whether municipal unemployment rates and municipal typologies in Norway may explain some of the geographical variance in individual disability pensioning.436 municipalities in Norway and all 1,507,192 Norwegian males and females between the ages of 30-55 years in 1997 were included in the analysis. Multilevel random intercept analysis was performed to assess the influence on disability pensioning of the individual factors age, education and income together with the contextual factors municipal unemployment, centrality, industry affiliation and residential density. Results: Individuals in high unemployment municipalities had a 7-17% higher risk of disability pension. Of the total variability in disability pensioning, 2.5% for males and 1.9% for females was between municipalities. The other municipal factors had only small influences.In addition to individual socioeconomic factors, contextual factors seem to be important determinants of disability pension rates. Municipal unemployment had the greatest influence.
机译：由于随之而来的财政和社会挑战，挪威政府和研究人员给予了极大的重视，使挪威残疾抚恤金领取者人数的增加。领取残疾抚恤金的资格由挪威劳工和福利局（NAV）决定，并与若干社会经济预测因素密切相关。在向残疾抚恤金领取者的分配中也观察到了地域差异，本研究的目的是调查挪威的市政失业率和城市类型是否可以解释个人残疾抚恤金的某些地理差异。436分析包括1997年年龄在30至55岁之间的所有1,507,192名挪威男性和女性。进行了多级随机截距分析，以评估个人因素的年龄，教育程度和收入以及城市失业，中心性，行业隶属关系和居住密度等背景因素对残疾养老金的影响。结果：高失业率城市中的人的残障养老金风险高7-17％。在残疾养老金的总差异中，男性占2.5％，女性占1.9％。其他市政因素的影响很小。除了个人的社会经济因素外，背景因素似乎也是残疾养老金率的重要决定因素。市政失业影响最大。

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