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Norwegian Elderly Less Likely to Live Alone in the Future

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  • Nico Keilman

    (University of Oslo)

  • Solveig Christiansen

    (University of Oslo)

Abstract

We analyse the future household status of elderly men and women in Norway. An important finding is that persons aged 80+ are less likely to live alone in the future, and more often with a partner. The level of mortality, the mortality sex gap, union dissolution at young and intermediate ages, and entry into and exit from institutions for the elderly are possible determinants for this new trend. We use the macro simulation program LIPRO to simulate the household dynamics in Norway to 2032, and investigate the demographic reasons for the increased likelihood of living with a partner among Norwegian elderly. Mortality plays an important role, but part of the trend is already embodied in the household structure of the current population.

Suggested Citation

  • Nico Keilman & Solveig Christiansen, 2010. "Norwegian Elderly Less Likely to Live Alone in the Future," European Journal of Population, Springer;European Association for Population Studies, vol. 26(1), pages 47-72, February.
  • Handle: RePEc:spr:eurpop:v:26:y:2010:i:1:d:10.1007_s10680-009-9195-9
    DOI: 10.1007/s10680-009-9195-9
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    References listed on IDEAS

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    1. Fred C. Pampel, 2002. "Cigarette Use and the Narrowing Sex Differential in Mortality," Population and Development Review, The Population Council, Inc., vol. 28(1), pages 77-104, March.
    2. Bernard Casey & Atsuhiro Yamada, 2002. "Getting Older, Getting Poorer? A Study of the Earnings, Pensions, Assets and Living Arrangements of Older People in Nine Countries," LIS Working papers 314, LIS Cross-National Data Center in Luxembourg.
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    Cited by:

    1. Albert Esteve & David S. Reher, 2021. "Rising Global Levels of Intergenerational Coresidence Among Young Adults," Population and Development Review, The Population Council, Inc., vol. 47(3), pages 691-717, September.
    2. Michel Poulain & Luc Dal & Anne Herm, 2020. "Trends in living arrangements and their impact on the mortality of older adults: Belgium 1991‒2012," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(15), pages 401-430.
    3. Tom Wilson, 2013. "The sequential propensity household projection model," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(24), pages 681-712.
    4. Qiushi Feng & Zhenglian Wang & Simon Choi & Yi Zeng, 2020. "Forecast Households at the County Level: An Application of the ProFamy Extended Cohort-Component Method in Six Counties of Southern California, 2010 to 2040," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 39(2), pages 253-281, April.
    5. Albert Esteve & David S. Reher & Rocío Treviño & Pilar Zueras & Anna Turu, 2020. "Living Alone over the Life Course: Cross‐National Variations on an Emerging Issue," Population and Development Review, The Population Council, Inc., vol. 46(1), pages 169-189, March.

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