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Nursing homes and mortality in Europe: Uncertain causality

Author

Listed:
  • Xavier Flawinne

    (ULiège - Université de Liège = University of Liège = Universiteit van Luik = Universität Lüttich)

  • Mathieu Lefebvre

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Sergio Perelman

    (ULiège - Université de Liège = University of Liège = Universiteit van Luik = Universität Lüttich)

  • Pierre Pestieau

    (ULiège - Université de Liège = University of Liège = Universiteit van Luik = Universität Lüttich, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Jérôme Schoenmaeckers

    (ULiège - Université de Liège = University of Liège = Universiteit van Luik = Universität Lüttich, CIRIEC-Belgium)

Abstract

The current health crisis has particularly affected the elderly population. Nursing homes have unfortunately experienced a relatively large number of deaths. On the basis of this observation and working with European data (from SHARE), we want to check whether nursing homes were lending themselves to excess mortality even before the pandemic. Controlling for a number of important characteristics of the elderly population in and outside nursing homes, we conjecture that the difference in mortality between those two samples is to be attributed to the way nursing homes are designed and organized. Using matching methods, we observe excess mortality in Sweden, Belgium, Germany, Switzerland, Czech Republic and Estonia but not in the Netherlands, Denmark, Austria, France, Luxembourg, Italy and Spain. This raises the question of the organization and management of these nursing homes, but also of their design and financing.

Suggested Citation

  • Xavier Flawinne & Mathieu Lefebvre & Sergio Perelman & Pierre Pestieau & Jérôme Schoenmaeckers, 2023. "Nursing homes and mortality in Europe: Uncertain causality," Post-Print hal-03807685, HAL.
    • Handle: RePEc:hal:journl:hal-03807685
    DOI: 10.1002/hec.4613
    Note: View the original document on HAL open archive server: https://amu.hal.science/hal-03807685v1
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    Cited by:

    1. Chiara Canta & Pierre Pestieau & Jérôme Schoenmaeckers, 2024. "Blood and gender bias in informal care within the family," Review of Economics of the Household, Springer, vol. 22(2), pages 595-631, June.
    2. Vanessa Ress & Eva‐Maria Wild, 2024. "Comparing methods for estimating causal treatment effects of administrative health data: A plasmode simulation study," Health Economics, John Wiley & Sons, Ltd., vol. 33(12), pages 2757-2777, December.
    3. Justina Klimaviciute & Pierre Pestieau, 2023. "The economics of long‐term care. An overview," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1192-1213, September.

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    Keywords

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    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I10 - Health, Education, and Welfare - - Health - - - General
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

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