Volume 21 - Article 17 | Pages 503-534

Estimating health expectancies from two cross-sectional surveys: The intercensal method

By Michel Guillot, Yan Yu

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Date received:02 Oct 2008
Date published:16 Oct 2009
Word count:7925
Keywords:disability, health expectancies, indirect estimation methods, multistate life tables
DOI:10.4054/DemRes.2009.21.17
 

Abstract

Health expectancies are key indicators for monitoring the health of populations, as well as for informing debates about compression or expansion of morbidity. However, current methodologies for estimating them are not entirely satisfactory. They are either of limited applicability because of high data requirements (the multistate method) or based on questionable assumptions (the Sullivan method). This paper proposes a new method, called the “intercensal” method, which relies on the multistate framework but uses widely available data. The method uses age-specific proportions “healthy” at two successive, independent cross-sectional health surveys, and, together with information on general mortality, solves for the set of transition probabilities that produces the observed sequence of proportions healthy. The system is solved by making realistic parametric assumptions about the age patterns of transition probabilities. Using data from the Health and Retirement Survey (HRS) and from the National Health Interview Survey (NHIS), the method is tested against both the multistate method and the Sullivan method. We conclude that the intercensal approach is a promising framework for the indirect estimation of health expectancies.

Author's Affiliation

Michel Guillot - University of Pennsylvania, United States of America [Email]
Yan Yu - Australian National University, Australia [Email]

Other articles by the same author/authors in Demographic Research

» On the correspondence between CAL and lagged cohort life expectancy
Volume 24 - Article 25

» The effect of changes in fertility on the age distribution of stable populations
Volume 20 - Article 24

» Tempo effects in mortality: An appraisal
Volume 14 - Article 1

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