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The Living Arrangement Dynamics of Sick, Elderly Individuals

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Abstract

In this paper, we address the dynamics associated with living-arrangement decisions of sick, elderly individuals. Using data from the Panel Study of Income Dynamics and its Parental Health Supplement, we construct the complete living-arrangement histories of elderly individuals in need of care. We use a simultaneous random-effects competing-risks model to analyze the impact of demographic characteristics, health and wealth on the living-arrangement decisions of sick elderly individuals while taking into account state and duration dependence as well as unobserved heterogeneity. We find that state and duration dependence serve as Important predictors for the living arrangement choices of sick elderly individuals.

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  • Benoit Dostie & Pierre Thomas Léger, 2003. "The Living Arrangement Dynamics of Sick, Elderly Individuals," Cahiers de recherche 03-07, HEC Montréal, Institut d'économie appliquée.
  • Handle: RePEc:iea:carech:0307
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    7. Hiedemann, Bridget & Stern, Steven, 1999. "Strategic play among family members when making long-term care decisions," Journal of Economic Behavior & Organization, Elsevier, vol. 40(1), pages 29-57, September.
    8. Maxim Engers & Steven Stern, 2002. "Long-Term Care and Family Bargaining," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(1), pages 73-114, February.
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    11. Florian Heiss & Michael Hurd & Axel Borsch-Supan, 2003. "Healthy, Wealthy, and Knowing Where to Live: Predicted Trajectories of Health, Wealth and Living Arrangements Among the Oldest Old," NBER Working Papers 9897, National Bureau of Economic Research, Inc.
    12. Alan M. Garber & Thomas E. MaCurdy, 1990. "Predicting Nursing Home Utilization among the High-Risk Elderly," NBER Chapters, in: Issues in the Economics of Aging, pages 173-204, National Bureau of Economic Research, Inc.
    13. Peter Dolton & Wilbert van der Klaauw, 1999. "The Turnover of Teachers: A Competing Risks Explanation," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 543-550, August.
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    Cited by:

    1. Ha Trong Nguyen & Luke B. Connelly, 2017. "The Dynamics of Informal Care Provision in an Australian Household Panel Survey: Previous Work Characteristics and Future Care Provision," The Economic Record, The Economic Society of Australia, vol. 93(302), pages 395-419, September.
    2. Matteo Lippi Bruni & Cristina Ugolini, 2016. "Delegating home care for the elderly to external caregivers? An empirical study on Italian data," Review of Economics of the Household, Springer, vol. 14(1), pages 155-183, March.
    3. Michelle Sovinsky & Steven Stern, 2016. "Dynamic modelling of long-term care decisions," Review of Economics of the Household, Springer, vol. 14(2), pages 463-488, June.
    4. Meliyanni Johar & Shiko Maruyama, 2012. "Externality and Strategic Interaction in the Location Choice of Siblings under Altruism toward Parents," Working Papers 201201, ARC Centre of Excellence in Population Ageing Research (CEPAR), Australian School of Business, University of New South Wales.
    5. David C. Grabowski & Edward C. Norton & Courtney H. Van Houtven, 2012. "Informal Care," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 30, Edward Elgar Publishing.
    6. Meliyanni Johar & Shiko Maruyama & Sayaka Nakamura, 2015. "Reciprocity in the Formation of Intergenerational Coresidence," Journal of Family and Economic Issues, Springer, vol. 36(2), pages 192-209, June.
    7. Meliyanni Johar & Shiko Maruyama, 2011. "Intergenerational cohabitation in modern Indonesia: filial support and dependence," Health Economics, John Wiley & Sons, Ltd., vol. 20(S1), pages 87-104, September.
    8. Michaud, Pierre-Carl & Heitmueller, Axel & Nazarov, Zafar, 2010. "A dynamic analysis of informal care and employment in England," Labour Economics, Elsevier, vol. 17(3), pages 455-465, June.
    9. Max Groneck, 2017. "Bequests and Informal Long-Term Care: Evidence from HRS Exit Interviews," Journal of Human Resources, University of Wisconsin Press, vol. 52(2), pages 531-572.
    10. Lingguo Cheng & Hong Liu & Ye Zhang & Zhong Zhao, 2018. "The heterogeneous impact of pension income on elderly living arrangements: evidence from China’s new rural pension scheme," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(1), pages 155-192, January.
    11. Norton, E.C., 2016. "Health and Long-Term Care," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 951-989, Elsevier.
    12. Curtis Huffman & Ricardo Regules-García & Delfino Vargas Chanes, 2019. "Living arrangement dynamics of older adults in Mexico: Latent class analysis in an accelerated longitudinal design," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(50), pages 1401-1436.
    13. Max Groneck & Frederic Krehl, 2014. "Bequests and Informal Long-Term Care: Evidence from the HRS Exit Interviews," Working Paper Series in Economics 79, University of Cologne, Department of Economics.
    14. Liliana E. Pezzin & Robert A. Pollak & Barbara S. Schone, 2007. "Efficiency in Family Bargaining: Living Arrangements and Caregiving Decisions of Adult Children and Disabled Elderly Parents," CESifo Economic Studies, CESifo Group, vol. 53(1), pages 69-96, March.
    15. Matteo Lippi Bruni & Cristina Ugolini, 2006. "Assistenza a domicilio e assistenza residenziale: politiche di intervento e analisi empirica," Rivista italiana degli economisti, Società editrice il Mulino, issue 2, pages 241-268.
    16. Shiko Maruyama & Meliyanni Johar, 2017. "Do siblings free‐ride in “being there” for parents?," Quantitative Economics, Econometric Society, vol. 8(1), pages 277-316, March.

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    More about this item

    Keywords

    Living Arrangement Dynamics; Competing Risks; Markov Models; Unobserved Heterogeneity; Aging.;
    All these keywords.

    JEL classification:

    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • I10 - Health, Education, and Welfare - - Health - - - General

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