IDEAS home Printed from https://ideas.repec.org/a/eee/insuma/v38y2006i2p271-288.html
   My bibliography  Save this article

The impact of the determinants of mortality on life insurance and annuities

Author

Listed:
  • Kwon, Hyuk-Sung
  • Jones, Bruce L.

Abstract

No abstract is available for this item.

Suggested Citation

  • Kwon, Hyuk-Sung & Jones, Bruce L., 2006. "The impact of the determinants of mortality on life insurance and annuities," Insurance: Mathematics and Economics, Elsevier, vol. 38(2), pages 271-288, April.
    • Handle: RePEc:eee:insuma:v:38:y:2006:i:2:p:271-288
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-6687(05)00116-2
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Angus Macdonald & Howard Waters & Chessman Wekwete, 2005. "A Model for Coronary Heart Disease and Stroke with Applications to Critical Illness Insurance Underwriting II: Applications," North American Actuarial Journal, Taylor & Francis Journals, vol. 9(1), pages 41-56.
    2. Angus Macdonald & Howard Waters & Chessman Wekwete, 2005. "A Model for Coronary Heart Disease and Stroke with Applications to Critical Illness Insurance Underwriting I: The Model," North American Actuarial Journal, Taylor & Francis Journals, vol. 9(1), pages 13-40.
    3. Robert Brown & Joanne McDaid, 2003. "Factors Affecting Retirement Mortality," North American Actuarial Journal, Taylor & Francis Journals, vol. 7(2), pages 24-43.
    4. Sorlie, P.D. & Backlund, E. & Keller, J.B., 1995. "US mortality by economic, demographic, and social characteristics: The National Longitudinal Mortality Study," American Journal of Public Health, American Public Health Association, vol. 85(7), pages 949-956.
    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. Subir Sen, 2008. "An Analysis Of Life Insurance Demand Determinants For Selected Asian Economies And India," Working Papers 2008-036, Madras School of Economics,Chennai,India.
    2. Meyricke, Ramona & Sherris, Michael, 2013. "The determinants of mortality heterogeneity and implications for pricing annuities," Insurance: Mathematics and Economics, Elsevier, vol. 53(2), pages 379-387.
    3. Guglielmo D'Amico & Montserrat Guillen & Raimondo Manca & Filippo Petroni, 2017. "Multi-state models for evaluating conversion options in life insurance," Papers 1707.01028, arXiv.org.
    4. Subir Sen & S Madheswaran, 2013. "Regional determinants of life insurance consumption: evidence from selected Asian economies," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 27(2), pages 86-103, November.
    5. Boumezoued, Alexandre & Karoui, Nicole El & Loisel, Stéphane, 2017. "Measuring mortality heterogeneity with multi-state models and interval-censored data," Insurance: Mathematics and Economics, Elsevier, vol. 72(C), pages 67-82.
    6. Denuit, Michel & Legrand, Catherine, 2016. "Risk Classification in Life Insurance: Extension to Continuous Covariates," LIDAM Discussion Papers ISBA 2016045, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    7. M. Moghadam, 2013. "Extended risk classification in insurance industry," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(3), pages 1385-1396, April.
    8. Chen, Shi & Duan, Xiaoyu & Chiu, Shiu-Chieh & Lin, Jyh-Horng, 2024. "Insurer hedging amidst the interplay of black and green swans toward SDGs 3 and 7," Energy Economics, Elsevier, vol. 135(C).
    9. Kwon, Hyuk-Sung & Jones, Bruce L., 2008. "Applications of a multi-state risk factor/mortality model in life insurance," Insurance: Mathematics and Economics, Elsevier, vol. 43(3), pages 394-402, December.

    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. Kwon, Hyuk-Sung & Jones, Bruce L., 2008. "Applications of a multi-state risk factor/mortality model in life insurance," Insurance: Mathematics and Economics, Elsevier, vol. 43(3), pages 394-402, December.
    2. Lu, Li & Macdonald, Angus & Wekwete, Chessman, 2008. "Premium rates based on genetic studies: How reliable are they," Insurance: Mathematics and Economics, Elsevier, vol. 42(1), pages 319-331, February.
    3. Michael Rendall & Margaret Weden & Melissa Favreault & Hilary Waldron, 2011. "The Protective Effect of Marriage for Survival: A Review and Update," Demography, Springer;Population Association of America (PAA), vol. 48(2), pages 481-506, May.
    4. Trine Filges & Anu Siren & Torben Fridberg & Bjørn C. V. Nielsen, 2020. "Voluntary work for the physical and mental health of older volunteers: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(4), December.
    5. Heer, Burkhard & Rohrbacher, Stefan, 2021. "Endogenous longevity and optimal tax progressivity," Journal of Health Economics, Elsevier, vol. 79(C).
    6. Jolliffe, Dean, 2011. "Overweight and poor? On the relationship between income and the body mass index," Economics & Human Biology, Elsevier, vol. 9(4), pages 342-355.
    7. Michael Lokshin & Martin Ravallion, 2008. "Testing for an economic gradient in health status using subjective data," Health Economics, John Wiley & Sons, Ltd., vol. 17(11), pages 1237-1259, November.
    8. Alexander, Monica, 2018. "Deaths without denominators: using a matched dataset to study mortality patterns in the United States," SocArXiv q79ye, Center for Open Science.
    9. Arline T. Geronimus, 1999. "Economic inequality and social differentials in mortality," Economic Policy Review, Federal Reserve Bank of New York, vol. 5(Sep), pages 23-36.
    10. Frank van Berkum & Katrien Antonio & Michel Vellekoop, 2021. "Quantifying longevity gaps using micro‐level lifetime data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(2), pages 548-570, April.
    11. Liqun Liu & Andrew J. Rettenmaier, 2003. "Social Security Outcomes by Racial and Education Groups," Southern Economic Journal, John Wiley & Sons, vol. 69(4), pages 842-864, April.
    12. Max Groneck & Johanna Wallenius, 2021. "It Sucks to Be Single! Marital Status and Redistribution of Social Security [Female labor supply as insurance against idiosyncratic risk]," The Economic Journal, Royal Economic Society, vol. 131(633), pages 327-371.
    13. Zimmer, Zachary, 2008. "Poverty, wealth inequality and health among older adults in rural Cambodia," Social Science & Medicine, Elsevier, vol. 66(1), pages 57-71, January.
    14. Shankha Chakraborty & Mausumi Das, 2005. "Mortality, Human Capital and Persistent Inequality," Journal of Economic Growth, Springer, vol. 10(2), pages 159-192, June.
    15. Denuit, Michel & Legrand, Catherine, 2016. "Risk Classification in Life Insurance: Extension to Continuous Covariates," LIDAM Discussion Papers ISBA 2016045, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    16. Iribarren, Carlos & Jacobs, David R. & Kiefe, Catarina I. & Lewis, Cora E. & Matthews, Karen A. & Roseman, Jeffrey M. & Hulley, Stephen B., 2005. "Causes and demographic, medical, lifestyle and psychosocial predictors of premature mortality: the CARDIA study," Social Science & Medicine, Elsevier, vol. 60(3), pages 471-482, February.
    17. Netta E. Mäki & Pekka T. Martikainen, 2008. "The Effects of Education, Social Class and Income on Non-alcohol- and Alcohol-Associated Suicide Mortality: A Register-based Study of Finnish Men Aged 25–64," European Journal of Population, Springer;European Association for Population Studies, vol. 24(4), pages 385-404, December.
    18. Groneck, Max & Schön, Matthias & Wallenius, Johanna, 2016. "You Better Get Married! Marital Status and Intra-Generational Redistribution of Social Security," VfS Annual Conference 2016 (Augsburg): Demographic Change 145801, Verein für Socialpolitik / German Economic Association.
    19. Shaobin Wang & Zhoupeng Ren, 2019. "Spatial variations and macroeconomic determinants of life expectancy and mortality rate in China: a county-level study based on spatial analysis models," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(5), pages 773-783, June.
    20. Lokshin, Michael & Ravallion, Martin, 2005. "Searching for the economic gradient in self-assessed health," Policy Research Working Paper Series 3698, The World Bank.

    More about this item

    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:eee:insuma:v:38:y:2006:i:2:p:271-288. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505554 .

    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.