IDEAS home Printed from https://ideas.repec.org/a/dem/demres/v21y2009i17.html
   My bibliography  Save this article

Estimating health expectancies from two cross-sectional surveys

Author

Listed:
  • Michel Guillot

    (University of Pennsylvania)

  • Yan Yu

    (University of Canberra)

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.

Suggested Citation

  • Michel Guillot & Yan Yu, 2009. "Estimating health expectancies from two cross-sectional surveys," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 21(17), pages 503-534.
    • Handle: RePEc:dem:demres:v:21:y:2009:i:17
    DOI: 10.4054/DemRes.2009.21.17
    as

    Download full text from publisher

    File URL: https://www.demographic-research.org/volumes/vol21/17/21-17.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.4054/DemRes.2009.21.17?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Frans Willekens, 1999. "Modeling approaches to the indirect estimation of migration flows: From entropy to EM," Mathematical Population Studies, Taylor & Francis Journals, vol. 7(3), pages 239-278.
    2. Robert Schoen & Stefan H. Jonsson, 2003. "Estimating multistate transition rates from population distributions," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 9(1), pages 1-24.
    3. Eileen Crimmins & Mark Hayward & Yasuhiko Saito, 1994. "Changing mortality and morbidity rates and the health status and life expectancy of the older population," Demography, Springer;Population Association of America (PAA), vol. 31(1), pages 159-175, February.
    4. Imai, Kosuke & Soneji, Samir, 2007. "On the Estimation of Disability-Free Life Expectancy: Sullivan's Method and Its Extension," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 1199-1211, December.
    5. Agnes Lievre & Nicolas Brouard & Christopher Heathcote, 2003. "The Estimation Of Health Expectancies From Cross-Longitudinal Surveys," Mathematical Population Studies, Taylor & Francis Journals, vol. 10(4), pages 211-248.
    6. Carl Schmertmann, 2002. "A Simple method for estimating age-specific rates from sequential cross sections," Demography, Springer;Population Association of America (PAA), vol. 39(2), pages 287-310, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. William Lim & Gaurav Khemka & David Pitt & Bridget Browne, 2019. "A method for calculating the implied no-recovery three-state transition matrix using observable population mortality incidence and disability prevalence rates among the elderly," Journal of Population Research, Springer, vol. 36(3), pages 245-282, September.
    2. Liming Cai & Mark D. Hayward & Yasuhiko Saito & James Lubitz & Aaron Hagedorn & Eileen Crimmins, 2010. "Estimation of multi-state life table functions and their variability from complex survey data using the SPACE Program," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 22(6), pages 129-158.
    3. Holendro Singh Chungkham & Robin S. Högnäs & Jenny Head & Paola Zaninotto & Hugo Westerlund, 2023. "Estimating Working Life Expectancy: A Comparison of Multistate Models," SAGE Open, , vol. 13(2), pages 21582440231, May.
    4. Emmanuelle Cambois & Caroline Laborde & Isabelle Romieu & Jean-Marie Robine, 2011. "Occupational inequalities in health expectancies in France in the early 2000s: Unequal chances of reaching and living retirement in good health," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 25(12), pages 407-436.
    5. Ryuichi Ohta & Yoshinori Ryu & Daisuke Kataoka & Chiaki Sano, 2021. "Effectiveness and Challenges in Local Self-Governance: Multifunctional Autonomy in Japan," IJERPH, MDPI, vol. 18(2), pages 1-14, January.
    6. Marc Luy, 2020. "Understanding the Cross-Sectional Association Between Life Expectancy and Healthy Life Years: The CroHaM Hypothesis," VID Working Papers 2003, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    7. Irene Albarrán Lozano & Pablo J. Alonso-González & José Javier Núñez-Velázquez, 2021. "Estimation of Life Expectancy for Dependent Population in a Multi-State Context," IJERPH, MDPI, vol. 18(21), pages 1-13, October.
    8. Willekens Frans, 2019. "Evidence-Based Monitoring of International Migration Flows in Europe," Journal of Official Statistics, Sciendo, vol. 35(1), pages 231-277, March.
    9. James N. Laditka & Douglas A. Wolf, 2004. "Duration Data from the National Long-Term Care Survey: Foundation for a Dynamic Multiple-Indicator Model of ADL Dependency," Center for Policy Research Working Papers 65, Center for Policy Research, Maxwell School, Syracuse University.
    10. Yunyun Jiang & Haitao Zheng & Tianhao Zhao, 2019. "Socioeconomic Status and Morbidity Rate Inequality in China: Based on NHSS and CHARLS Data," IJERPH, MDPI, vol. 16(2), pages 1-19, January.
    11. Mark Hayward & Robert Hummer & Chi-Tsun Chiu & César González-González & Rebeca Wong, 2014. "Does the Hispanic Paradox in U.S. Adult Mortality Extend to Disability?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 33(1), pages 81-96, February.
    12. Michal Engelman & Heide Jackson, 2019. "Gradual Change, Homeostasis, and Punctuated Equilibrium: Reconsidering Patterns of Health in Later Life," Demography, Springer;Population Association of America (PAA), vol. 56(6), pages 2323-2347, December.
    13. Javier Pla-Porcel & Manuel Ventura-Marco & Carlos Vidal-Meliá, 2017. "How do unisex life care annuities embedded in a pay-as-you-go retirement system affect gender redistribution?," Documentos de Trabajo del ICAE 2017-11, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    14. Andrew J. Palmer & Julie A. Campbell & Barbara de Graaff & Nancy Devlin & Hasnat Ahmad & Philip M Clarke & Mingsheng Chen & Lei Si, 2021. "Population norms for quality adjusted life years for the United States of America, China, the United Kingdom and Australia," Health Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 1950-1977, August.
    15. Dilek Yildiz & Jo Munson & Agnese Vitali & Ramine Tinati & Jennifer A. Holland, 2017. "Using Twitter data for demographic research," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 37(46), pages 1477-1514.
    16. Guy Abel, 2013. "Estimating global migration flow tables using place of birth data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(18), pages 505-546.
    17. Yi Zeng & Danan Gu & Kenneth C. Land, 2003. "A new method for correcting the underestimation of disabled life expectancy inherent in conventional methods: application to the oldest old in China," MPIDR Working Papers WP-2003-033, Max Planck Institute for Demographic Research, Rostock, Germany.
    18. Judith Fuchs & Christa Scheidt-Nave & Timo Hinrichs & Andreas Mergenthaler & Janine Stein & Steffi G. Riedel-Heller & Eva Grill, 2013. "Indicators for Healthy Ageing — A Debate," IJERPH, MDPI, vol. 10(12), pages 1-15, December.
    19. Timothy Riffe & Iñaki Permanyer & Rustam Tursun-Zade & Magdalena Muszynska-Spielauer, 2024. "Calculating the joint distribution of years lived in good and poor health," MPIDR Working Papers WP-2024-013, Max Planck Institute for Demographic Research, Rostock, Germany.
    20. Aïda Solé-Auró & Hiram Beltrán-Sánchez & Eileen Crimmins, 2015. "Are Differences in Disability-Free Life Expectancy by Gender, Race, and Education Widening at Older Ages?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 34(1), pages 1-18, February.

    More about this item

    Keywords

    disability; health expectancies; indirect estimation methods; multistate life tables;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dem:demres:v:21:y:2009:i:17. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Editorial Office (email available below). General contact details of provider: https://www.demogr.mpg.de/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.