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The role of culture in long-term care arrangement decisions

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  • Gentili, Elena
  • Masiero, Giuliano
  • Mazzonna, Fabrizio

Abstract

In this paper, we show how and to what extent cultural factors may influence the LTC market and elderly living arrangements. Using a spatial regression discontinuity design, we exploit the within-state variation in language groups in Switzerland to provide evidence about cultural differences in LTC use. We show that elderly people residing in regions speaking a Latin language (French, Italian and Romansh) enter nursing homes in worse health conditions and rely more on home-based care compared to elderly people residing in the neighboring German regions. Differences in the strength of family ties across linguistic groups represent the most reasonable explanation for such differences.

Suggested Citation

  • Gentili, Elena & Masiero, Giuliano & Mazzonna, Fabrizio, 2017. "The role of culture in long-term care arrangement decisions," Journal of Economic Behavior & Organization, Elsevier, vol. 143(C), pages 186-200.
    • Handle: RePEc:eee:jeborg:v:143:y:2017:i:c:p:186-200
    DOI: 10.1016/j.jebo.2017.09.007
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    Cited by:

    1. Fuino, Michel & Wagner, Joël, 2018. "Long-term care models and dependence probability tables by acuity level: New empirical evidence from Switzerland," Insurance: Mathematics and Economics, Elsevier, vol. 81(C), pages 51-70.
    2. Bergeot, Julien & Tenand, Marianne, 2021. "Does informal care delay nursing home entry? Evidence from Dutch linked survey and administrative data," CEPREMAP Working Papers (Docweb) 2105, CEPREMAP.
    3. Martin Eling & Omid Ghavibazoo, 2019. "Research on long-term care insurance: status quo and directions for future research," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(2), pages 303-356, April.
    4. Liangwen Zhang & Yanbing Zeng & Lixia Wang & Ya Fang, 2020. "Urban–Rural Differences in Long-Term Care Service Status and Needs Among Home-Based Elderly People in China," IJERPH, MDPI, vol. 17(5), pages 1-18, March.
    5. Gabriel Loumeau & Christian Stettler, 2021. "Fiscal Autonomy and Self-Determination," CESifo Working Paper Series 9445, CESifo.
    6. Freya Diederich & Hans-Helmut König & Christian Brettschneider, 2022. "Cultural traits and second-generation immigrants’ value of informal care," European Journal of Ageing, Springer, vol. 19(4), pages 1467-1477, December.
    7. Eggli, Yves & Stadelmann, Pierre & Piaget-Rossel, Romain & Marti, Joachim, 2019. "Heterogeneity in The drivers of health expenditures financed by health insurance in a fragmented health system: The case of Switzerland," Health Policy, Elsevier, vol. 123(12), pages 1275-1281.
    8. Iegor Rudnytskyi & Joël Wagner, 2019. "Drivers of Old-Age Dependence and Long-Term Care Usage in Switzerland—A Structural Equation Model Approach," Risks, MDPI, vol. 7(3), pages 1-20, August.
    9. Filippini, Massimo & Wekhof, Tobias, 2021. "The effect of culture on energy efficient vehicle ownership," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
    10. Fuino, Michel & Wagner, Joël, 2020. "Duration of long-term care: Socio-economic factors, type of care interactions and evolution," Insurance: Mathematics and Economics, Elsevier, vol. 90(C), pages 151-168.
    11. Beatrix Eugster & Raphaël Parchet, 2019. "Culture and Taxes," Journal of Political Economy, University of Chicago Press, vol. 127(1), pages 296-337.

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    More about this item

    Keywords

    Long-term care; Culture; Spatial RDD;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation

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