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Factors Affecting Retirement Mortality

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  • Robert Brown
  • Joanne McDaid

Abstract

As many countries consider mandatory individual retirement accounts as their answer to a secure social security system, the question arises as to whether all workers can get true “market value” annuities when they retire. It is clear today that private-sector life annuities are priced assuming that the applicant is healthy—very healthy. Very little underwriting or risk classification now exists in the individual annuity marketplace. However, if a large percentage of the population were looking to annuitize their social security accounts upon retirement, there would be strong pressure for more risk classes in the annuity-pricing structure.Even without the advent of individual accounts for social security, the authors of this paper feel there may be real market opportunities for more risk classification in the individual annuity market and the offering of “impaired life annuities.” Given that this pressure does or might soon exist, this paper reviews 45 recent research papers that look at factors that affect mortality after retirement. In particular, factors that seem to be important in predicting retirement mortality include age, gender, race and ethnicity, education, income, occupation, marital status, religion, health behaviors, smoking, alcohol, and obesity. for each factor, this paper gives highlights relative to the named factor of the impact expected from that variable as described in the 45 reviewed research papers.The authors believe there is a wealth of information contained in the summaries that follow, and it is our sincere hope that this paper will cause an increased interest in a more broadly based risk classification structure for individual annuities.Summaries of the 45 papers can be found at www.soa.org/sections/farm/farm.html.

Suggested Citation

  • Robert Brown & Joanne McDaid, 2003. "Factors Affecting Retirement Mortality," North American Actuarial Journal, Taylor & Francis Journals, vol. 7(2), pages 24-43.
  • Handle: RePEc:taf:uaajxx:v:7:y:2003:i:2:p:24-43
    DOI: 10.1080/10920277.2003.10596083
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    Citations

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    Cited by:

    1. 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.
    2. Sutcliffe, Charles, 2015. "Trading death: The implications of annuity replication for the annuity puzzle, arbitrage, speculation and portfolios," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 163-174.
    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. 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.
    5. 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.
    6. Robert L. Brown & Patricia Scahill, 2010. "Issues in the Issuance of Enhanced Annuities," Social and Economic Dimensions of an Aging Population Research Papers 265, McMaster University.
    7. Alonso-García, Jennifer & Devolder, Pierre, 2019. "Continuous time model for notional defined contribution pension schemes: Liquidity and solvency," Insurance: Mathematics and Economics, Elsevier, vol. 88(C), pages 57-76.
    8. 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).
    9. Thomas Woods & Tatjana Miljkovic, 2022. "Modeling the Economic Cost of Obesity Risk and Its Relation to the Health Insurance Premium in the United States: A State Level Analysis," Risks, MDPI, vol. 10(10), pages 1-28, October.
    10. Shaokang Wang & Han Lin Shang & Leonie Tickle & Han Li, 2024. "Forecasting Age- and Sex-Specific Survival Functions: Application to Annuity Pricing," Risks, MDPI, vol. 12(7), pages 1-15, July.

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