IDEAS home Printed from https://ideas.repec.org/a/nwe/eajour/y2018i1p25-34.html
   My bibliography  Save this article

Gender Differences in Life Expectancy with Chronic Disease at Old Age in Bulgaria

Author

Listed:
  • Mariana Mourgova

    (University of National and World Economy, Sofia, Bulgaria)

Abstract

Life expectancy at all ages, including old age, is increasing. The increase in old age life expectancy is quite often accompanied by an increase in the years lived in bad health, mainly due to chronic diseases. The present article aims at measuring the gender differences in the life expectancy with chronic disease at the age of 65 and over in Bulgaria. Data from the latest European Health Interview Survey carried out in Bulgaria have been used. In order to measure the differences between men and women, the life expectancy for people with and without chronic disease is calculated, while to measure the gender differences and the age differences in life expectancy with chronic disease the decomposition method is used. Through the decomposition method, gender differences are decomposed to ones due to differences in mortality and others due to health status. The results show that the differences in life expectancy between men and women with chronic disease are significant and, on the one hand, are due to the lower mortality rate among females and, on the other hand – to their worse health status.

Suggested Citation

  • Mariana Mourgova, 2018. "Gender Differences in Life Expectancy with Chronic Disease at Old Age in Bulgaria," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 1, pages 25-34, March.
    • Handle: RePEc:nwe:eajour:y:2018:i:1:p:25-34
    as

    Download full text from publisher

    File URL: http://www.unwe.bg/uploads/Alternatives/2_Murgova_Alternativi_english_broi_1_2018.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Evgeny M. Andreev & Vladimir Shkolnikov & Alexander Begun, 2002. "Algorithm for decomposition of differences between aggregate demographic measures and its application to life expectancies, healthy life expectancies, parity-progression ratios and total fertility rat," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 7(14), pages 499-522.
    2. Jacques Vallin & France Meslé, 2009. "The Segmented Trend Line of Highest Life Expectancies," Population and Development Review, The Population Council, Inc., vol. 35(1), pages 159-187, March.
    3. Evgeny M. Andreev & Vladimir M. Shkolnikov & Alexander Z. Begun, 2002. "Algorithm for decomposition of differences between aggregate demographic measures and its application to life expectancies, Gini coefficients, health expectancies, parity-progression ratios and total ," MPIDR Working Papers WP-2002-035, Max Planck Institute for Demographic Research, Rostock, Germany.
    4. Wilma Nusselder & Caspar Looman, 2004. "Decomposition of differences in health expectancy by cause," Demography, Springer;Population Association of America (PAA), vol. 41(2), pages 315-334, 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. Marie-Pier Bergeron-Boucher & Vladimir Canudas-Romo & Marcus Ebeling, 2015. "Decomposing changes in life expectancy: Compression versus shifting mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(14), pages 391-424.
    2. Vladimir M. Shkolnikov & Evgeny M. Andreev, 2017. "The decomposition of the difference between two healthy life expectancies: which formula is right?," MPIDR Working Papers WP-2017-016, Max Planck Institute for Demographic Research, Rostock, Germany.
    3. Timothy Riffe & Alyson A. van Raalte & Maarten J. Bijlsma, 2017. "Healthy life expectancy, mortality, and age prevalence of morbidity," MPIDR Working Papers WP-2017-015, Max Planck Institute for Demographic Research, Rostock, Germany.
    4. Faragó, Miklós, 2011. "Paritásfüggő összetett termékenységi mutatók Magyarországon és különbségeik dekompozíciója [Parity-dependent complex indicators of fertility in Hungary and decomposition of differences between them," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 970-993.
    5. Virginia Zarulli & James W. Vaupel & Rune Lindahl-Jacobsen, 2020. "Onset of the old-age gender gap in survival," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 42(25), pages 727-740.
    6. Jonathan Fox & Mikko Myrskylä, 2015. "Urban fertility responses to local government programs: Evidence from the 1923-1932 U.S," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(16), pages 487-532.
    7. Glenn Firebaugh & Claudia Nau & Francesco Acciai & Christopher J Prather & Aggie Noah, 2014. "Why the racial gap in life expectancy is declining in the United States," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(32), pages 975-1006.
    8. Per Kragh Andersen & Vladimir Canudas-Romo & Niels Keiding, 2013. "Cause-specific measures of life years lost," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(41), pages 1127-1152.
    9. Vladimir Shkolnikov & Evgeny Andreev & Zhen Zhang & James Oeppen & James Vaupel, 2011. "Losses of Expected Lifetime in the United States and Other Developed Countries: Methods and Empirical Analyses," Demography, Springer;Population Association of America (PAA), vol. 48(1), pages 211-239, February.
    10. Marie-Pier Bergeron-Boucher & Jim Oeppen & Niels Vilstrup Holm & Hanne Melgaard Nielsen & Rune Lindahl-Jacobsen & Maarten Jan Wensink, 2019. "Understanding Differences in Cancer Survival between Populations: A New Approach and Application to Breast Cancer Survival Differentials between Danish Regions," IJERPH, MDPI, vol. 16(17), pages 1-16, August.
    11. Alyson van Raalte & Pekka Martikainen & Mikko Myrskylä, 2014. "Lifespan Variation by Occupational Class: Compression or Stagnation Over Time?," Demography, Springer;Population Association of America (PAA), vol. 51(1), pages 73-95, February.
    12. Vladimir M. Shkolnikov & Evgeny M. Andreev & Zhen Zhang & James E. Oeppen & James W. Vaupel, 2009. "Losses of expected lifetime in the US and other developed countries: methods and empirical analyses," MPIDR Working Papers WP-2009-042, Max Planck Institute for Demographic Research, Rostock, Germany.
    13. Dmitri A. Jdanov & Vladimir M. Shkolnikov & Alyson A. van Raalte & Evgeny M. Andreev, 2017. "Decomposing Current Mortality Differences Into Initial Differences and Differences in Trends: The Contour Decomposition Method," Demography, Springer;Population Association of America (PAA), vol. 54(4), pages 1579-1602, August.
    14. Markéta Pechholdová & Gabriela Šamanová, 2013. "Mortality by marital status in a rapidly changing society: Evidence from the Czech Republic," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(12), pages 307-322.
    15. Vladimir Shkolnikov & Martin McKee & Evgeny M. Andreev & David A. Leon, 2013. "Components and possible determinants of decrease in Russian mortality in 2004-2010," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(32), pages 917-950.
    16. Mathias Lerch, 2020. "The emergence and diffusion of birth limitation in urban areas of developing countries," MPIDR Working Papers WP-2020-014, Max Planck Institute for Demographic Research, Rostock, Germany.
    17. Kryštof Zeman & Tomáš Sobotka & Eva Beaujouan & Zuzanna Brzozowska, 2018. "Cohort fertility decline in low fertility countries: Decomposition using parity progression ratios," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(25), pages 651-690.
    18. Olga Grigoriev & Gabriele Doblhammer, 2022. "Does the Mortality of Individuals with Severe Disabilities Contribute to the Persistent East–West Mortality Gap Among German Men?," European Journal of Population, Springer;European Association for Population Studies, vol. 38(2), pages 247-271, May.
    19. Murphy, Michael J., 2021. "Use of counterfactual population projections for assessing the demographic determinants of population ageing," LSE Research Online Documents on Economics 106185, London School of Economics and Political Science, LSE Library.
    20. Robert Stelter & David De la Croix & Mikko Myrskylä, 2020. "Leaders and laggards in life expectancy among European scholars from the sixteenth to the early twentieth century," MPIDR Working Papers WP-2020-030, Max Planck Institute for Demographic Research, Rostock, Germany.

    More about this item

    Keywords

    life expectancy; gender differences in life expectancy; chronic diseases; gender differences in health; life expectancy with chronic diseases;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

    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:nwe:eajour:y:2018:i:1:p:25-34. 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: Vanya Lazarova (email available below). General contact details of provider: https://edirc.repec.org/data/unweebg.html .

    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.