Reporting biases in self-assessed physical and cognitive health status of older Europeans
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作者:
Spitzer, Sonja
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Wittgenstein Ctr Demog & Global Human Capital, Int Inst Appl Syst Anal IIASA, World Populat Program, Laxenburg, AustriaWittgenstein Ctr Demog & Global Human Capital, Int Inst Appl Syst Anal IIASA, World Populat Program, Laxenburg, Austria
Spitzer, Sonja
[1
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Weber, Daniela
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Wittgenstein Ctr Demog & Global Human Capital, Int Inst Appl Syst Anal IIASA, World Populat Program, Laxenburg, Austria
Vienna Univ Econ & Busines, Hlth Econ & Policy Div, Vienna, AustriaWittgenstein Ctr Demog & Global Human Capital, Int Inst Appl Syst Anal IIASA, World Populat Program, Laxenburg, Austria
Weber, Daniela
[1
,2
]
机构:
[1] Wittgenstein Ctr Demog & Global Human Capital, Int Inst Appl Syst Anal IIASA, World Populat Program, Laxenburg, Austria
This paper explores which demographic characteristics substantially bias self-reported physical and cognitive health status of older Europeans. The analysis utilises micro-data for 19 European countries from the Survey of Health, Ageing and Retirement in Europe to compare performance-tested outcomes of mobility and memory with their self-reported equivalents. Relative importance analysis based on multinomial logistic regressions shows that the bias in self-reported health is mostly due to reporting heterogeneities between countries and age groups, whereas gender contributes little to the discrepancy. Concordance of mobility and cognition measures is highly related; however, differences in reporting behaviour due to education and cultural background have a larger impact on self-assessed memory than on self-assessed mobility. Southern as well as Central and Eastern Europeans are much more likely to misreport their physical and cognitive abilities than Northern and Western Europeans. Overall, our results suggest that comparisons of self-reported health between countries and age groups are prone to significant biases, whereas comparisons between genders are credible for most European countries. These findings are crucial given that self-assessed data are often the only information available to researchers and policymakers when asking health-related questions.
机构:
Department of Law and Economics, University Bayreuth, D-95440, BayreuthDepartment of Law and Economics, University Bayreuth, D-95440, Bayreuth
Pfarr C.
Schminan A.
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Department of Law and Economics, University Bayreuth, D-95440, BayreuthDepartment of Law and Economics, University Bayreuth, D-95440, Bayreuth
Schminan A.
Schneider U.
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Department of Law and Economics, University Bayreuth, D-95440, Bayreuth
Scientific Institute of TK for Benefit and Efficiency in Health Care, D-22305, HamburgDepartment of Law and Economics, University Bayreuth, D-95440, Bayreuth