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On the Heterogeneity in Longevity among Socioeconomic Groups: Scope, Trends, and Implications for Earnings-Related Pension Schemes

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  • Ayuso, Mercedes

    (University of Barcelona)

  • Bravo, Jorge Miguel

    (Universidade Nova de Lisboa)

  • Holzmann, Robert

    (University of New South Wales)

Abstract

Heterogeneity in longevity between socioeconomic groups is increasingly documented for developed economies and is reviewed in the paper. Heterogeneity in life expectancy disaggregated by main socioeconomic characteristics – such as age, gender, race, health, education, profession, income, and wealth – is sizable and has not declined in recent decades. The prospects for future decline are not strong, either; perhaps even to the contrary. As heterogeneity is closely linked to income or earnings (i.e., the contribution base of earnings-related social programs such as pensions) and as heterogeneity is empirically sizable, the result is major implicit taxes for some groups – particularly the less educated and low earners – and major subsidies for other groups – particularly highly educated individuals and high-income earners. The implications for pension reform and scheme design are substantial as taxes/subsidies counteract the envisaged effects of (i) a closer contribution-benefit link, (ii) a later formal retirement age to address population aging, and (iii) more individual funding and private annuities to compensate for reduced public generosity.

Suggested Citation

  • Ayuso, Mercedes & Bravo, Jorge Miguel & Holzmann, Robert, 2016. "On the Heterogeneity in Longevity among Socioeconomic Groups: Scope, Trends, and Implications for Earnings-Related Pension Schemes," IZA Discussion Papers 10060, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp10060
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    References listed on IDEAS

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    1. 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.
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    4. Madrigal, A. M. & Matthews, F. E. & Patel, D. D. & Gaches, A. T. & Baxter, S. D., 2011. "What Longevity Predictors Should Be Allowed for When Valuing Pension Scheme Liabilities?," British Actuarial Journal, Cambridge University Press, vol. 16(1), pages 1-38, March.
    5. Baxter, Steven, 2011. "What Longevity Predictors Should be Allowed for When Valuing Pension Scheme Liabilities? †Abstract of the Discussion," British Actuarial Journal, Cambridge University Press, vol. 16(1), pages 39-62, March.
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    Citations

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    Cited by:

    1. Sanchez-Romero, Miguel & Lee, Ronald D. & Prskawetz, Alexia, 2020. "Redistributive effects of different pension systems when longevity varies by socioeconomic status," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    2. Díaz-Saavedra, Julián, 2023. "Heterogeneity in longevity, redistribution, and pension reform," Journal of Pension Economics and Finance, Cambridge University Press, vol. 22(4), pages 604-639, October.
    3. Ayuso, Mercedes & Bravo, Jorge M. & Holzmann, Robert, 2021. "Getting life expectancy estimates right for pension policy: period versus cohort approach," Journal of Pension Economics and Finance, Cambridge University Press, vol. 20(2), pages 212-231, April.
    4. Sanchez-Romero, Miguel & Lee, Ron & Fürnkranz-Prskawetz, Alexia, 2019. "Redistributive effects of different pension structures when longevity varies by socioeconomic status in a general equilibrium setting," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203628, Verein für Socialpolitik / German Economic Association.
    5. Sanchez-Romero, Miguel & Schuster, Philip & Prskawetz, Alexia, 2021. "Redistributive effects of pension reforms: Who are the winners and losers?," ECON WPS - Working Papers in Economic Theory and Policy 06/2021, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    6. Robert Holzmann, 2017. "The ABCs of nonfinancial defined contribution (NDC) schemes," International Social Security Review, John Wiley & Sons, vol. 70(3), pages 53-77, July.
    7. Ayuso, Mercedes & Bravo, Jorge Miguel & Holzmann, Robert, 2016. "Addressing Longevity Heterogeneity in Pension Scheme Design and Reform," IZA Discussion Papers 10378, Institute of Labor Economics (IZA).
    8. Jorge Miguel Bravo, 2019. "Funding for longer lives. Retirement wallet and risk-sharing annuities," EKONOMIAZ. Revista vasca de Economía, Gobierno Vasco / Eusko Jaurlaritza / Basque Government, vol. 96(02), pages 268-291.
    9. Holzmann, Robert & Ayuso, Mercedes & Alaminos, Estefanía & Bravo, Jorge Miguel, 2019. "Life Cycle Saving and Dissaving Revisited across Three-Tiered Income Groups: Starting Hypotheses, Refinement through Literature Review, and Ideas for Empirical Testing," IZA Discussion Papers 12655, Institute of Labor Economics (IZA).
    10. Jorge Miguel Bravo & Mercedes Ayuso & Robert Holzmann & Edward Palmer, 2021. "Intergenerational Actuarial Fairness when Longevity Increases: Amending the Retirement Age," CESifo Working Paper Series 9408, CESifo.
    11. Bravo, Jorge Miguel & Ayuso, Mercedes & Holzmann, Robert, 2019. "Making Use of Home Equity: The Potential of Housing Wealth to Enhance Retirement Security," IZA Discussion Papers 12656, Institute of Labor Economics (IZA).
    12. Sánchez-Romero, Miguel & Prskawetz, Alexia, 2017. "Redistributive effects of the US pension system among individuals with different life expectancy," The Journal of the Economics of Ageing, Elsevier, vol. 10(C), pages 51-74.
    13. Anca-Stefania Jijiie & Jennifer Alonso Garcia & Séverine Arnold (-Gaille), 2019. "Mortality by socio-economic class and its impact on the retirement schemes: How to render the systems fairer?," ULB Institutional Repository 2013/300032, ULB -- Universite Libre de Bruxelles.
    14. Mercedes Ayuso & Jorge M. Bravo & Robert Holzmann & Edward Palmer, 2021. "Automatic Indexation of the Pension Age to Life Expectancy: When Policy Design Matters," Risks, MDPI, vol. 9(5), pages 1-28, May.

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    More about this item

    Keywords

    implicit subsidy; life expectancy; gender; lifetime income; implicit tax;
    All these keywords.

    JEL classification:

    • D9 - Microeconomics - - Micro-Based Behavioral Economics
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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