Biases in health expectancies due to educational differences in survey participation of older Europeans: It’s worth weighting for

Spitzer S (2019). Biases in health expectancies due to educational differences in survey participation of older Europeans: It’s worth weighting for. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-19-003

[img]
Preview
Text
WP-19-003.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial.

Download (406kB) | Preview
Project: The Demography of Sustainable Human Wellbeing (EmpoweredLifeYears, H2020 741105)

Abstract

Health expectancies are widely used by policymakers and scholars to analyse the number of years a person can expect to live in good health. Their calculation requires life tables in combination with prevalence rates of good or bad health from survey data. The structure of typical survey data, however, rarely resembles the education distribution in the general population. Specifically, low-educated individuals are frequently underrepresented in surveys, which is crucial given the strong positive correlation between educational attainment and good health. This is the first study to evaluate if and how health expectancies for 13 European countries are biased by educational differences in survey participation. To this end, calibrated weights that consider the education structure in the 2011 censuses are applied to measures of activity limitation in the Survey of Health, Ageing and Retirement in Europe (SHARE). The results show that health expectancies at age 50 are biased by an average of 0.3 years when the education distribution in the general population is ignored. For most countries, health expectancies are overestimated, yet remarkably, the measure underestimates health for many Central and Eastern European countries by up to 0.9 years. These biases are significant, especially in light of the European Commission’s aim to add 2 years of healthy life for the average European by 2020. The findings of this study highlight the need to adjust for distortion in health expectancies, especially when the measure serves as a base for health-related policy targets or policy changes.

Item Type: Monograph (IIASA Working Paper)
Research Programs: World Population (POP)
Depositing User: Luke Kirwan
Date Deposited: 27 May 2019 05:55
Last Modified: 28 May 2019 12:21
URI: http://pure.iiasa.ac.at/15920

Actions (login required)

View Item View Item

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313