Definition
Mortality projection refers to inference about future levels of mortality, survival, and longevity indicators, as well as the age distribution of future mortality patterns disaggregated by sex and other relevant individual or group characteristics. It belongs to the core of demographic projection and is essential for studying implications of demographic change for social welfare, pensions, insurance and in other socioeconomic domains.
Introduction
Mortality projection – typically, of a set of about two hundred death rates by age and sex for each year of the projection period – is an essential part of population projection that is needed to assess future sizes of population by age and sex, study consequences of population ageing, future evolution of human lifespan, inequality in life duration, and provide outlooks for insurance and pension systems....
References
Bardoutsos A, de Beer J, Janssen F (2018) Projecting delay and compression of mortality. Genus 74(1):17
Benjamin B, Soliman AS (1993) Mortality on the move: methods of mortality projection. Actuarial Education Service, Oxford
Bongaarts J (2005) Long-range trends in adult mortality: models and projection methods. Demography 42(1):23–49
Bongaarts J, Feeney G (2002) How long do we live? Popul Dev Rev 28(1):13–29
Booth H (2006) Demographic forecasting: 1980 to 2005 in review. Int J Forecast 22(3):547–581
Booth H, Tickle L (2008) Mortality modelling and forecasting: a review of methods. Annals of Actuarial Science 3(1–2):3–43
Booth H, Maindonald J, Smith L (2002) Applying Lee-Carter under conditions of variable mortality decline. Popul Stud 56(3):325–336
Brass W (1971) Mortality models and their uses in demography. Transactions of the Faculty of Actuaries 33:123–142
Cardona C, Bishai D (2018) The slowing pace of life expectancy gains since 1950. BMC Public Health 18(1):151
Coelho E, Nunes LC (2011) Forecasting mortality in the event of a structural change. J R Stat Soc A Stat Soc 174(3):713–736
Davoodi R, Moradi MH (2018) Mortality prediction in intensive care units (ICUs) using a deep rule-based fuzzy classifier. J Biomed Inform 79:48–59
Ediev DM (2008) Extrapolative projections of mortality: towards a more consistent method. Part I: The Central Scenario. VID WP 3/2008. Vienna
Ediev DM (2011) Life expectancy in developed countries is higher than conventionally estimated. Implications from improved measurement of human longevity. Journal of Population Ageing 4(1):5–32
Foreman KJ, Marquez N, Dolgert A, Fukutaki K, Fullman N, McGaughey M, Pletcher MA, Smith AE, Tang K, Yuan CW, Brown JC, Friedman J, He J, Heuton KR, Holmberg M, Patel DJ, Reidy P, Carter A, Cercy K, Chapin A, Douwes-Schultz D, Frank T, Goettsch F, Liu PY, Nandakumar V, Reitsma MB, Reuter V, Sadat N, Sorensen RJD, Srinivasan V, Updike RL, York H, Lopez AD, Lozano R, Lim SS, Mokdad AH, Vollset SE, Murray CJL (2018) Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016–40 for 195 countries and territories. Lancet 392(10159):2052–2090
Ganna A, Ingelsson E (2015) 5 year mortality predictors in 498 103 UK biobank participants: a prospective population-based study. Lancet 386(9993):533–540
Godwin J, Raftery AE (2017) Bayesian projection of life expectancy accounting for the HIV/AIDS epidemic. Demogr Res 37(48):1549–1610
Hunt A, Blake D (2020) On the structure and classification of mortality models. N Am Actuari J. https://doi.org/10.1080/10920277.2019.1649156
Keyfitz N, Caswell H (2005) Applied mathematical demography. Springer, New York
King G, Soneji S (2011) The future of death in America. Demogr Res 25:1–38
Lee RD, Carter LR (1992) Modeling and forecasting U.S. mortality. J Am Stat Assoc 87(419):659–671
Lee RD, Miller T (2001) Evaluating the performance of the Lee-Carter method for forecasting mortality. Demography 38(4):537–549
Lee J, Maslove DM, Dubin JA (2015) Personalized mortality prediction driven by electronic medical data and a patient similarity metric. PLoS One 10(5):e0127428
Li N, Lee RD (2005) Coherent mortality forecasts for a group of populations: an extension of the Lee-Carter method. Demography 42(3):575–594
Li Y, Raftery AE (2019) Accounting for smoking in forecasting mortality and life expectancy. arXiv:1910.12168
Li JSH, Chan WS, Cheung SH (2011) Structural changes in the Lee-Carter mortality indexes: detection and implications. North American Actuarial Journal 15(1):13–31
Li N, Lee RD, Gerland P (2013) Extending the Lee-Carter method to model the rotation of age patterns of mortality decline for long-term projections. Demography 50(6):2037–2051
Luy M, Zannella M, Wegner-Siegmundt C, Minagawa Y, Lutz W, Caselli G (2019) The impact of increasing education levels on rising life expectancy: a decomposition analysis for Italy, Denmark, and the USA. Genus 75(1):11
Meslé F, Vallin J (2011) Historical trends in mortality. Springer, Dordrecht, pp 9–47
O’Hare C, Li Y (2015) Identifying structural breaks in stochastic mortality models. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering. vol 1. American Society of Mechanical Engineers (ASME)
Oeppen J, Vaupel JW (2002) Demography. Broken limits to life expectancy. Science 296(5570):1029–1031
Olshansky SJ (1988) On forecasting mortality. Milbank Q 66(3):482
Omran AR (1971) The epidemiologic transition: a theory of the epidemiology of population change. Milbank Q 49(4):509–538
Pascariu MD (2018) Modelling and forecasting mortality. Ph. D. Thesis. University of Southern Denmark, Odense
Pollard JH (1987) Projection of age-specific mortality rates. Population Bulletin of the United Nations 21–22:55–69
Preston SH, Heuveline P, Guillot M (2001) Demography: measuring and modeling population processes. Blackwell Publishers, Oxford
Raftery AE, Chunn JL, Gerland P, Ševčíková H (2013) Bayesian probabilistic projections of life expectancy for all countries. Demography 50:777–801
Renshaw AE, Haberman S (2006) A cohort-based extension to the Lee-Carter model for mortality reduction factors. Insurance: Mathematics and Economics 38(3):556–570
Scherbov S, Ediev DM (2016) Does selection of mortality model make a difference in projecting population ageing? Dem Res 34:39–62
Shang HL, Booth H, Hyndman R (2011) Point and interval forecasts of mortality rates and life expectancy: a comparison of ten principal component methods. Demogr Res 25:173–214
Stockwell EG, Shryock HS, Siegel JS (1976) The methods and materials of demography. Academic Press, New York
Stoeldraijer L, Van Duin C, Van Wissen L, Janssen F (2013) Impact of different mortality forecasting methods and explicit assumptions on projected future life expectancy: the case of the Netherlands. Demogr Res 29(13):323–354
Stoeldraijer L, Bonneux L, van Duin C, van Wissen L, Janssen F (2015) The future of smoking-attributable mortality: the case of England & Wales, Denmark and the Netherlands. Addiction 110(2):336–345
Tabeau E (2001) A review of demographic forecasting models for mortality. In: Forecasting mortality in developed countries. Springer, Dordrecht, pp 1–32
Tabeau E, van den Berg Jeths A, Heathcote CR (2001) Forecasting mortality in developed countries: insights from a statistical, demographic, and epidemiological perspective. Kluwer Academic Publishers, Boston
Tencza C, Stokes A, Preston S (2014) Factors responsible for mortality variation in the United States: a latent variable analysis. Demogr Res 21(2):27–70
Terblanche W (2016) Retrospective testing of mortality forecasting methods for the projection of very elderly populations in Australia. J Forecast 35(8):703–717
Torri T, Vaupel JW (2012) Forecasting life expectancy in an international context. Int J Forecast 28:519–531
United Nations Economic Commission For Europe (2018) Recommendations on communicating population projections. Prepared by the Task Force on Population Projections United Nations. United Nations, New York and Geneva
United Nations/Department of Economic and Social Affairs/Population Division (2019a) Extended model life tables. Retrieved September 16, 2019 https://www.un.org/en/development/desa/population/publications/mortality/model-life-tables.asp
United Nations/Department of Economic and Social Affairs/Population Division (2019b) World population prospects 2019: methodology of the United Nations population estimates and projections. United Nations, New York
van Berkum F, Antonio K, Vellekoop M (2016) The impact of multiple structural changes on mortality predictions. Scand Actuar J 2016(7):581–603
Vidra N, Llimós ST, Janssen F (2017) Impact of obesity on trends in life expectancy among different European countries, 1975-2012. Eur J Pub Health 27:275–276
Waldron H (2005) Literature review of long-term mortality projections. Soc Secur Bull 66(1):16–30
Wang H, Preston SH (2009) Forecasting United States mortality using cohort smoking histories. Proc Natl Acad Sci U S A 106(2):393–398
Weng SF, Vaz L, Qureshi N, Kai J (2019) Prediction of premature all-cause mortality: a prospective general population cohort study comparing machine-learning and standard epidemiological approaches, edited by P. Rezaei-Hachesu. PLOS ONE 14(3):e0214365
White KM (2002) Longevity advances in high-income countries, 1955-96. Popul Dev Rev 28(1):59–76
Willekens F (2001) Demographic forecasting: state-of-the-art and research needs. In: Hazeu C, Frinking G (eds) Emerging issues in demographic research. Elsevier, Amsterdam
Wilson T (2018) Evaluation of simple methods for regional mortality forecasts. Genus 74(1):14
World Health Organization (2018) Projections of mortality and causes of death, 2015 and 2030. East Mediterr Health J 24(5):469–476
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Ediev, D.M. (2020). Mortality Projection. In: Gu, D., Dupre, M. (eds) Encyclopedia of Gerontology and Population Aging. Springer, Cham. https://doi.org/10.1007/978-3-319-69892-2_557-1
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DOI: https://doi.org/10.1007/978-3-319-69892-2_557-1
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