Nursing homes and mortality in Europe: Uncertain causality
| Autor: | Xavier Flawinne, Mathieu Lefebvre, Sergio Perelman, Pierre Pestieau, Jérôme Schoenmaeckers |
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| Přispěvatelé: | UCL - SSH/LIDAM/CORE - Center for operations research and econometrics, Université de Liège, Aix-Marseille Sciences Economiques (AMSE), École des hautes études en sciences sociales (EHESS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Paris School of Economics (PSE), Université Paris 1 Panthéon-Sorbonne (UP1)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), CIRIEC-Belgium, ANR-17-EURE-0020,AMSE (EUR),Aix-Marseille School of Economics(2017), ANR-11-IDEX-0001,Amidex,INITIATIVE D'EXCELLENCE AIX MARSEILLE UNIVERSITE(2011) |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
propensity score matching
Health Policy JEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions nursing homes [SHS.ECO]Humanities and Social Sciences/Economics and Finance mortality JEL: I - Health Education and Welfare/I.I1 - Health/I.I1.I10 - General Nursing Homes Europe Spain Germany JEL: J - Labor and Demographic Economics/J.J1 - Demographic Economics/J.J1.J14 - Economics of the Elderly • Economics of the Handicapped • Non-Labor Market Discrimination SHARE Humans France Mortality Aged |
| Zdroj: | Health Economics, (2022) Health Economcs Health Economics Health Economics, 2023, 32 (1), pp.134-154. ⟨10.1002/hec.4613⟩ |
| ISSN: | 1057-9230 1099-1050 |
| DOI: | 10.1002/hec.4613⟩ |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
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