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Mortality and life expectancy trends for male pensioners by pension income level

Author

Listed:
  • Juan Manuel Pérez-Salamero González

    (Department of Financial Economics and Actuarial Science, University of Valencia.)

  • Marta Regúlez Castillo

    (Department of Quantitative Methods. University of the Basque Country (UPV/EHU).)

  • Carlos Vidal-Meliá

    (Department of Financial Economics and Actuarial Science, University of Valencia, Instituto Complutense de Análisis Económico, Complutense (ICAE), University of Madrid, Spain (research affiliate) and Centre of Excellence in Population Ageing Research (CEPAR), UNSW, Sydney, Australia.)

Abstract

We draw on the Continuous Sample of Working Lives (CSWL) to investigate the differences in socioeconomic mortality among retired men aged 65 and above over the longest possible period covered by this data source: 2005–2018. This paper deals with the case of Spain, since very little evidence concerning retirement pensioners is available for this country. The only indicator of socioeconomic status we use is the amount of the initial pension of the retired population. For 2005-2010 we find a gap in life expectancy of 1.49 years between pensioners in the highest and lowest income groups. This gap widens over time and reaches 2.58 years for the period 2015–2018. The increase in life expectancy inequality cannot be attributed to the pension system reforms carried out over the period 2011-2013, given that the system has become more redistributive and there has been a clear increase in real terms in the amounts of minimum pensions over recent years. The causes might be traced back to the decrease in public spending on health over the period 2009-2018 and the increased spending on private health, which would presumably be of more benefit to those retirees with bigger pensions.

Suggested Citation

  • Juan Manuel Pérez-Salamero González & Marta Regúlez Castillo & Carlos Vidal-Meliá, 2021. "Mortality and life expectancy trends for male pensioners by pension income level," Documentos de Trabajo del ICAE 2021-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    • Handle: RePEc:ucm:doicae:2102
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    References listed on IDEAS

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    1. James E Duggan & Robert Gillingham & John S Greenlees, 2008. "Mortality and Lifetime Income: Evidence from U.S. Social Security Records," IMF Staff Papers, Palgrave Macmillan, vol. 55(4), pages 566-594, December.
    2. Urbanaviciute, Ieva & De Witte, Hans & Rossier, Jérôme, 2019. "Perceived job insecurity and self-rated health: Testing reciprocal relationships in a five-wave study," Social Science & Medicine, Elsevier, vol. 233(C), pages 201-207.
    3. Jie Wen & Torsten Kleinow & Andrew J. G. Cairns, 2020. "Trends in Canadian Mortality by Pension Level: Evidence from the CPP and QPP," North American Actuarial Journal, Taylor & Francis Journals, vol. 24(4), pages 533-561, October.
    4. Jung Min Park & Ukchan Oh & Beop-Rae Roh & Yeongmin Moon, 2017. "Disparities in mortality by disability: an 11-year follow-up study of 1 million individuals," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(9), pages 989-996, December.
    5. Michele Belloni & Rob Alessie & Adriaan Kalwij & Chiara Marinacci, 2013. "Lifetime income and old age mortality risk in Italy over two decades," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(45), pages 1261-1298.
    6. repec:dau:papers:123456789/10510 is not listed on IDEAS
    7. Adriaan Kalwij & Rob Alessie & Marike Knoef, 2013. "The Association Between Individual Income and Remaining Life Expectancy at the Age of 65 in the Netherlands," Demography, Springer;Population Association of America (PAA), vol. 50(1), pages 181-206, February.
    8. Camarda, Carlo G., 2012. "MortalitySmooth: An R Package for Smoothing Poisson Counts with P-Splines," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 50(i01).
    9. Sergei Scherbov & Dalkhat Ediev, 2011. "Significance of life table estimates for small populations: Simulation-based study of estimation errors," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 24(22), pages 527-550.
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    More about this item

    Keywords

    Inequalities; Life Expectancy; Life Tables; Mortality; Socioeconomic Factors.;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies

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