in: Ein aktiver Staat der die Menschen stärkt und schützt. Thesen aus Wissenschaft & Politik
Buchbeiträge, Karl-Renner-Institut, Wien , Mai 2023, S.38-41
An der Trennline von bezahlter Arbeit und unbezahlter Sorgearbeit manifestiert sich das Machtgefälle zwischen Frauen und Männern.
Der Kurzbeitrag zeigt die Notwendigkeit eine Neubewertung von Arbeit in beiden Spähren.
Eurostat's official Healthy Life Years (HLY) estimates are based on European Union Statistics on Income and Living Conditions
(EU-SILC) cross-sectional data. As EU-SILC has a rotational sample design, the largest part of the samples are longitudinal,
health-related attrition constituting a potential source of bias of these estimates. Bland-Altman plots assessing the agreement
between pairs of HLY based on total and new rotational, representative samples demonstrated no significant, systematic attrition-related
bias. However, the wide limits of agreement indicate considerable uncertainty, larger than accounted for in the confidence
intervals of HLY estimates.
Cross-sectional data from the Survey of Health, Ageing and Retirement in Europe (SHARE) are a common source of information
in comparative studies of population health in Europe. In the largest part, these data are based on longitudinal samples,
which are subject to health-specific attrition. This implies that estimates of population health based on cross-sectional
SHARE datasets are biased as the data are selected on the outcome variable of interest. We examine whether cross-sectional
datasets are selected based on health status. We compare estimates of the prevalence of full health, healthy life years at
age 50 (HLY), and rankings of 18 European countries by HLY based on the observed, cross-sectional SHARE wave 7 datasets and
full samples. The full samples consist of SHARE observed and attrited respondents, whose health trajectories are imputed by
microsimulation. Health status is operationalised across the global index of limitations in activities of daily living (GALI).
HLY stands for life expectancy free of activity limitations. Cross-sectional datasets are selected based on health status,
as health limitations increase the odds of attrition from the panel in older age groups and reduce them in younger ones. In
older age groups, the prevalence of full health is higher in the observed cross-sectional data than in the full sample in
most countries. In most countries, HLY is overestimated based on the cross-sectional data, and in some countries, the opposite
effect is observed. While, due to the small sample sizes of national surveys, the confidence intervals are large, the direction
of the effect is persistent across countries. We also observe shifts in the ranking of countries according to HLYs of the
observed data versus the HLYs of the full sample. We conclude that estimates on population health based on cross-sectional
datasets from longitudinal, attrited SHARE samples are over-optimistic.