Literature DB >> 23302497

Municipal unemployment and municipal typologies as predictors of disability pensioning in Norway: a multilevel analysis.

Leif Jostein Reime1, Bjørgulf Claussen.   

Abstract

BACKGROUND AND AIMS: 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.
METHODS: 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.
CONCLUSION: In addition to individual socioeconomic factors, contextual factors seem to be important determinants of disability pension rates. Municipal unemployment had the greatest influence.

Mesh:

Year:  2013        PMID: 23302497     DOI: 10.1177/1403494812472004

Source DB:  PubMed          Journal:  Scand J Public Health        ISSN: 1403-4948            Impact factor:   3.021


  5 in total

1.  Local area unemployment, individual health and workforce exit: ONS Longitudinal Study.

Authors:  Emily T Murray; Jenny Head; Nicola Shelton; Gareth Hagger-Johnson; Stephen Stansfeld; Paola Zaninotto; Mai Stafford
Journal:  Eur J Public Health       Date:  2016-02-27       Impact factor: 3.367

2.  Non-completion of secondary education and early disability in Norway: geographic patterns, individual and community risks.

Authors:  Arnhild Myhr; Tommy Haugan; Monica Lillefjell; Thomas Halvorsen
Journal:  BMC Public Health       Date:  2018-05-31       Impact factor: 3.295

3.  Gender differences and individual, household, and workplace characteristics: Regional geographies of extended working lives.

Authors:  Nicola Shelton; Jenny Head; Ewan Carr; Paola Zaninotto; Gareth Hagger-Johnson; Emily Murray
Journal:  Popul Space Place       Date:  2018-11-21

4.  Clustering of disability pension and socioeconomic disadvantage in Sweden: a geospatial analysis.

Authors:  Marianna Virtanen; Katriina Heikkilä; Jussi Vahtera; Mika Kivimäki; Jaana I Halonen; Kristina Alexanderson; Simo Rautiainen; Tea Lallukka; Ellenor Mittendorfer-Rutz
Journal:  Eur J Public Health       Date:  2022-10-03       Impact factor: 4.424

5.  Changes in Unemployment Affect Sickness Absence and Disability Retirement Rates: A Municipality-Level Panel Study.

Authors:  Jenni Blomgren; Mikko Laaksonen; Riku Perhoniemi
Journal:  Int J Environ Res Public Health       Date:  2021-06-11       Impact factor: 3.390

  5 in total

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