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The impact of economic growth in mortality modelling for selected OECD countries

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  • Lydia Dutton
  • Athanasios A. Pantelous
  • Malgorzata Seklecka

Abstract

The health of a population is affected by social, environmental, and economic factors. Pension providers and consultants, insurance companies, government agencies and individuals in the developed world have a vested interest in understanding how the economic growth will impact on the life expectancy of their population. Therefore, changes in death rates may occur due to climate and economic changes. In this study, we extend a previous study into excess deaths as a result of climate change to also provide a comprehensive investigation of the impact of economic changes using annual female and male data for 5 developed OECD countries. We find that there is strong negative relationship between mortality index, and climate and economic proxies. This model shows to provide better fitting and forecasting results both for females and males, and for all countries studied.

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  • Lydia Dutton & Athanasios A. Pantelous & Malgorzata Seklecka, 2020. "The impact of economic growth in mortality modelling for selected OECD countries," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 533-550, April.
    • Handle: RePEc:wly:jforec:v:39:y:2020:i:3:p:533-550
    DOI: 10.1002/for.2640
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    as
    1. Cairns, Andrew J.G. & Blake, David & Dowd, Kevin & Coughlan, Guy D. & Epstein, David & Khalaf-Allah, Marwa, 2011. "Mortality density forecasts: An analysis of six stochastic mortality models," Insurance: Mathematics and Economics, Elsevier, vol. 48(3), pages 355-367, May.
    2. Colin O’hare & Youwei Li, 2017. "Modelling mortality: are we heading in the right direction?," Applied Economics, Taylor & Francis Journals, vol. 49(2), pages 170-187, January.
    3. Olivier Deschênes & Michael Greenstone, 2011. "Climate Change, Mortality, and Adaptation: Evidence from Annual Fluctuations in Weather in the US," American Economic Journal: Applied Economics, American Economic Association, vol. 3(4), pages 152-185, October.
    4. Humberto Godínez‐Olivares & María del Carmen Boado‐Penas & Athanasios A. Pantelous, 2016. "How to Finance Pensions: Optimal Strategies for Pay‐as‐You‐Go Pension Systems," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(1), pages 13-33, January.
    5. David Cutler & Angus Deaton & Adriana Lleras-Muney, 2006. "The Determinants of Mortality," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 97-120, Summer.
    6. Booth, H. & Tickle, L., 2008. "Mortality Modelling and Forecasting: a Review of Methods," Annals of Actuarial Science, Cambridge University Press, vol. 3(1-2), pages 3-43, September.
    7. Stern,Nicholas, 2007. "The Economics of Climate Change," Cambridge Books, Cambridge University Press, number 9780521700801.
    8. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    9. Geng Niu & Bertrand Melenberg, 2014. "Trends in Mortality Decrease and Economic Growth," Demography, Springer;Population Association of America (PAA), vol. 51(5), pages 1755-1773, October.
    10. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2009. "Temperature and Income: Reconciling New Cross-Sectional and Panel Estimates," American Economic Review, American Economic Association, vol. 99(2), pages 198-204, May.
    11. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    12. Ronald Lee & Timothy Miller, 2001. "Evaluating the performance of the lee-carter method for forecasting mortality," Demography, Springer;Population Association of America (PAA), vol. 38(4), pages 537-549, November.
    13. Andrew Cairns & David Blake & Kevin Dowd & Guy Coughlan & David Epstein & Alen Ong & Igor Balevich, 2009. "A Quantitative Comparison of Stochastic Mortality Models Using Data From England and Wales and the United States," North American Actuarial Journal, Taylor & Francis Journals, vol. 13(1), pages 1-35.
    14. Li, Johnny Siu-Hang & Hardy, Mary R. & Tan, Ken Seng, 2009. "Uncertainty in Mortality Forecasting: An Extension to the Classical Lee-Carter Approach," ASTIN Bulletin, Cambridge University Press, vol. 39(1), pages 137-164, May.
    15. Tapia Granados, José A., 2012. "Economic growth and health progress in England and Wales: 160 years of a changing relation," Social Science & Medicine, Elsevier, vol. 74(5), pages 688-695.
    16. Robyn Swift, 2011. "The relationship between health and GDP in OECD countries in the very long run," Health Economics, John Wiley & Sons, Ltd., vol. 20(3), pages 306-322, March.
    17. Stéphane Loisel, 2010. "Understanding, Modeling and Managing Longevity Risk: Key Issues and Main Challenges," Post-Print hal-00517902, HAL.
    18. O’Hare, Colin & Li, Youwei, 2012. "Explaining young mortality," Insurance: Mathematics and Economics, Elsevier, vol. 50(1), pages 12-25.
    19. Malgorzata Seklecka & Athanasios A. Pantelous & Colin O'Hare, 2017. "Mortality effects of temperature changes in the United Kingdom," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(7), pages 824-841, November.
    20. Perron, Pierre, 1988. "Trends and random walks in macroeconomic time series : Further evidence from a new approach," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 297-332.
    21. Declan French & Colin O'Hare, 2013. "A Dynamic Factor Approach to Mortality Modeling," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(7), pages 587-599, November.
    22. José Tapia granados, 2008. "Macroeconomic fluctuations and mortality in postwar Japan," Demography, Springer;Population Association of America (PAA), vol. 45(2), pages 323-343, May.
    23. Christopher J. Ruhm, 2000. "Are Recessions Good for Your Health?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(2), pages 617-650.
    24. Lee, Ronald D., 1993. "Modeling and forecasting the time series of US fertility: Age distribution, range, and ultimate level," International Journal of Forecasting, Elsevier, vol. 9(2), pages 187-202, August.
    25. José A. Tapia Granados & Edward L. Ionides, 2011. "Mortality and Macroeconomic Fluctuations in Contemporary Sweden [Mortalité et fluctuations macroéconomiques dans la Suède contemporaine]," European Journal of Population, Springer;European Association for Population Studies, vol. 27(2), pages 157-184, May.
    26. Li, Han & O’Hare, Colin & Zhang, Xibin, 2015. "A semiparametric panel approach to mortality modeling," Insurance: Mathematics and Economics, Elsevier, vol. 61(C), pages 264-270.
    27. Ronald Lee, 2000. "The Lee-Carter Method for Forecasting Mortality, with Various Extensions and Applications," North American Actuarial Journal, Taylor & Francis Journals, vol. 4(1), pages 80-91.
    28. Nicholas Stern, 2013. "The Structure of Economic Modeling of the Potential Impacts of Climate Change: Grafting Gross Underestimation of Risk onto Already Narrow Science Models," Journal of Economic Literature, American Economic Association, vol. 51(3), pages 838-859, September.
    29. Katja Hanewald, 2011. "Explaining Mortality Dynamics," North American Actuarial Journal, Taylor & Francis Journals, vol. 15(2), pages 290-314.
    30. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    31. Carter, Lawrence R. & Lee, Ronald D., 1992. "Modeling and forecasting US sex differentials in mortality," International Journal of Forecasting, Elsevier, vol. 8(3), pages 393-411, November.
    32. Brouhns, Natacha & Denuit, Michel & Vermunt, Jeroen K., 2002. "A Poisson log-bilinear regression approach to the construction of projected lifetables," Insurance: Mathematics and Economics, Elsevier, vol. 31(3), pages 373-393, December.
    33. Pitacco, Ermanno & Denuit, Michel & Haberman, Steven & Olivieri, Annamaria, 2009. "Modelling Longevity Dynamics for Pensions and Annuity Business," OUP Catalogue, Oxford University Press, number 9780199547272, Decembrie.
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