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Nursing Homes and Mortality in Europe: Uncertain Causality

Author

Listed:
  • Xavier Flawinne
  • Mathieu Lefebvre
  • Sergio Perelman
  • Pierre Pestieau
  • Jerome Schoenmaeckers

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 organised. Using matching methods, we observe excess mortality in Belgium, France, Germany Luxembourg, Switzerland, Estonia and Czech Republic but no statistically significant excess mortality in Sweden, the Netherlands, Denmark, Austria, Italy or Spain. This raises the question of the organisation and management of these nursing homes, but also of their design and financing.

Suggested Citation

  • Xavier Flawinne & Mathieu Lefebvre & Sergio Perelman & Pierre Pestieau & Jerome Schoenmaeckers, 2022. "Nursing Homes and Mortality in Europe: Uncertain Causality," CESifo Working Paper Series 9572, CESifo.
    • Handle: RePEc:ces:ceswps:_9572
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    More about this item

    Keywords

    nursing homes; mortality; propensity score matching; SHARE;
    All these keywords.

    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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