IDEAS home Printed from https://ideas.repec.org/p/dem/wpaper/wp-2005-011.html
   My bibliography  Save this paper

Subjective well-being and mortality in Chinese oldest old

Author

Listed:
  • Qiang Li

    (Max Planck Institute for Demographic Research, Rostock, Germany)

Abstract

The present study investigates the relationship between subjective well-being (SWB) and mortality risk, using a large sample (N=7852) from the Chinese Longitudinal Healthy Longevity Study (age range 80-105) conducted in 2000 and 2002. Initially, we intended to contribute to the understanding of system relations between SWB, mortality risk, and unobserved heterogeneity by treating SWB as an endogenous variable, using a multi-process model. However, failure to identify unobserved heterogeneity in the mortality equation prevents us from employing this model. Given this limitation, the study examines three issues. First, we argue that the mortality model with duration dependency on the age of the study subjects is specified and that the model with duration dependency on time since the interview is misspecified. Second, we address problems associated with the identification of unobserved heterogeneity in the mortality equation. Third, we examine the association between SWB and mortality risk in the Chinese oldest old as well as the risk pattern by gender, without considering unobserved heterogeneity. We find that SWB is not a significant predictor of mortality risk when we control for socio-demographic characteristics and health status. Health plays a very important role in the relationship between SWB and mortality risk in the oldest old. Gender differences in the predictive pattern of SWB on this risk are negligible in the sample.

Suggested Citation

  • Qiang Li, 2005. "Subjective well-being and mortality in Chinese oldest old," MPIDR Working Papers WP-2005-011, Max Planck Institute for Demographic Research, Rostock, Germany.
    • Handle: RePEc:dem:wpaper:wp-2005-011
    DOI: 10.4054/MPIDR-WP-2005-011
    as

    Download full text from publisher

    File URL: https://www.demogr.mpg.de/papers/working/wp-2005-011.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.4054/MPIDR-WP-2005-011?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. Jan Beise & Eckart Voland, 2002. "A multilevel event history analysis of the effects of grandmothers on child mortality in a historical German population (Krummhörn, Ostfriesland, 1720-1874)," MPIDR Working Papers WP-2002-023, Max Planck Institute for Demographic Research, Rostock, Germany.
    2. repec:cai:popine:popu_p2001_13n1_0116 is not listed on IDEAS
    3. Jan Beise & Eckart Voland, 2002. "A multilevel event history analysis of the effects of grandmothers on child mortality in a historical German population," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 7(13), pages 469-498.
    4. Lee Lillard & Constantijn Panis, 1996. "Marital status and mortality: The role of health," Demography, Springer;Population Association of America (PAA), vol. 33(3), pages 313-327, August.
    5. James Vaupel & Kenneth Manton & Eric Stallard, 1979. "The impact of heterogeneity in individual frailty on the dynamics of mortality," Demography, Springer;Population Association of America (PAA), vol. 16(3), pages 439-454, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wencke Gwozdz & Alfonso Sousa-Poza, 2010. "Ageing, Health and Life Satisfaction of the Oldest Old: An Analysis for Germany," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 97(3), pages 397-417, July.
    2. Sor Tho Ng & Nai Peng Tey & M Niaz Asadullah, 2017. "What matters for life satisfaction among the oldest-old? Evidence from China," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-16, February.
    3. J. Tomás & P. Sancho & M. Gutiérrez & L. Galiana, 2014. "Predicting Life Satisfaction in the Oldest-Old: A Moderator Effects Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(2), pages 601-613, June.
    4. Chang-Keun Han & Song-Iee Hong, 2011. "Assets and Life Satisfaction Patterns Among Korean Older Adults: Latent Class Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 100(2), pages 225-240, January.

    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. Jaap H. Abbring & Gerard J. Van Den Berg, 2007. "The unobserved heterogeneity distribution in duration analysis," Biometrika, Biometrika Trust, vol. 94(1), pages 87-99.
    2. Van den Berg, Gerard J., 2001. "Duration models: specification, identification and multiple durations," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 55, pages 3381-3460, Elsevier.
    3. Dimiter Philipov & Sergei Scherbov, 2016. "Differences by union status in health and mortality at older ages: Results for 16 European countries," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(19), pages 535-556.
    4. Li, Yunrong & Mora, Ricardo, 2016. "Re-assessing the Impact of the Grandparent’s Income on the Infant Mortality Rate: An Evaluation of the Old Age Allowance Program in Nepal," World Development, Elsevier, vol. 87(C), pages 333-348.
    5. Krzysztof Tymicki, 2009. "The correlates of infant and childhood mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 20(23), pages 559-594.
    6. Marcantonio Caltabiano, 2003. "Italian adolescents’ first romantic relationships: an explorative study," MPIDR Working Papers WP-2003-038, Max Planck Institute for Demographic Research, Rostock, Germany.
    7. Kristin Snopkowski & Rebecca Sear, 2016. "Does grandparental help mediate the relationship between kin presence and fertility?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 34(17), pages 467-498.
    8. Simon Chapman & Mirkka Danielsbacka & Antti O Tanskanen & Mirkka Lahdenperä & Jenni Pettay & Virpi Lummaa, 2023. "Grandparental co-residence and grandchild survival: the role of resource competition in a pre-industrial population," Behavioral Ecology, International Society for Behavioral Ecology, vol. 34(3), pages 446-456.
    9. Samuel Lucas, 2014. "An inconvenient dataset: bias and inappropriate inference with the multilevel model," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(3), pages 1619-1649, May.
    10. Kai Pierre Willführ & Johannes Johow & Eckart Voland, 2018. "When the mother-in-law is just as good—Differential mortality of reproductive females by family network composition," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-22, March.
    11. Emma Zang & Cameron Campbell, 2018. "Males’ Later-Life Mortality Consequences of Coresidence With Paternal Grandparents: Evidence From Northeast China, 1789–1909," Demography, Springer;Population Association of America (PAA), vol. 55(2), pages 435-457, April.
    12. Jan Havlíček & Petr Tureček & Alice Velková, 2021. "One but not two grandmothers increased child survival in poorer families in west Bohemian population, 1708–1834," Behavioral Ecology, International Society for Behavioral Ecology, vol. 32(6), pages 1138-1150.
    13. Bagdonavicius, Vilijandas & Nikulin, Mikhail, 2000. "On goodness-of-fit for the linear transformation and frailty models," Statistics & Probability Letters, Elsevier, vol. 47(2), pages 177-188, April.
    14. G. Miller & Yuriy Pylypchuk, 2014. "Marital Status, Spousal Characteristics, and the Use of Preventive Care," Journal of Family and Economic Issues, Springer, vol. 35(3), pages 323-338, September.
    15. Yahia Salhi & Pierre-Emmanuel Thérond, 2016. "Age-Specific Adjustment of Graduated Mortality," Working Papers hal-01391285, HAL.
    16. Robert G. Wood & Brian Goesling & Sarah Avellar, "undated". "The Effects of Marriage on Health: A Synthesis of Recent Research Evidence," Mathematica Policy Research Reports d69bf47785bc4154a4e184aa5, Mathematica Policy Research.
    17. Feehan, Dennis & Wrigley-Field, Elizabeth, 2020. "How do populations aggregate?," SocArXiv 2fkw3, Center for Open Science.
    18. M. K. Lintu & Asha Kamath, 2022. "Performance of recurrent event models on defect proneness data," Annals of Operations Research, Springer, vol. 315(2), pages 2209-2218, August.
    19. Il Do Ha & Maengseok Noh & Youngjo Lee, 2010. "Bias Reduction of Likelihood Estimators in Semiparametric Frailty Models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 37(2), pages 307-320, June.
    20. Andreas Wienke & Anne M. Herskind & Kaare Christensen & Axel Skytthe & Anatoli I. Yashin, 2002. "The influence of smoking and BMI on heritability in susceptibility to coronary heart disease," MPIDR Working Papers WP-2002-003, Max Planck Institute for Demographic Research, Rostock, Germany.

    More about this item

    Keywords

    China; mortality;

    JEL classification:

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wpaper:wp-2005-011. 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: Peter Wilhelm (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.