While the doubling of life expectancy in developed countries during the 20th century can be attributed mostly to decreases in child mortality, the trillions of dollars spent on biomedical research by governments, foundations and corporations over the past sixty years are also yielding longevity dividends in both working and retired population. Biomedical progress will likely increase the healthy productive lifespan and the number of years of government support in the old age. In this paper we introduce several new parameters that can be applied to established models of economic growth: the biomedical progress rate, the rate of clinical adoption and the rate of change in retirement age. The biomedical progress rate is comprised of the rejuvenation rate (extending the productive lifespan) and the non-rejuvenating rate (extending the lifespan beyond the age at which the net contribution to the economy becomes negative). While staying within the neoclassical economics framework and extending the overlapping generations (OLG) growth model and assumptions from the life cycle theory of saving behavior, we provide an example of the relations between these new parameters in the context of demographics, labor, households and the firm.
References
[1]
Domar, E.D. Capital expansion, rate of growth, and employment. Econometrica 1946, 14, 137–147, doi:10.2307/1905364.
[2]
Solow, R.M. Technical change and the aggregate production function. Rev. Econ. Stat. 1957, 39, 312–320, doi:10.2307/1926047.
[3]
Swan, T.W. Economic growth and capital accumulation. Econ. Rec. 1956, 32, 334–361, doi:10.1111/j.1475-4932.1956.tb00434.x.
[4]
Lucas, R.E., Jr. On the mechanics of economic development. J. Monet. Econ. 1988, 22, 3–42, doi:10.1016/0304-3932(88)90168-7.
[5]
Romer, P.M. The origins of endogenous growth. J. Econ. Perspect. 1994, 8, 3–22, doi:10.1257/jep.8.1.3.
[6]
Galor, O. From stagnation to growth: Unified growth theory. In Handbook of Economic Growth; Brown University and Hebrew University: Providence, RI, USA, 2005; Volume 1, pp. 171–293.
Livi-Bacci, M. A Concise History of World Population; John Wiley & Sons: Chichester, UK, 2012.
[9]
Crimmins, E.M.; Saito, Y. Trends in healthy life expectancy in the United States, 1970–1990: Gender, racial, and educational differences. Soc. Sci. Med. 2001, 52, 1629–1641, doi:10.1016/S0277-9536(00)00273-2.
[10]
Kotlikoff, L.J.; Summers, L.H. The role of intergenerational transfers in aggregate capital accumulation. J. Polit. Econ. 1981, 89, 706–732.
[11]
Strulik, H.; Vollmer, S. Long-run trends of human aging and longevity. J. Popul. Econ. 2013, 26, 1303–1323, doi:10.1007/s00148-012-0459-z.
[12]
Li, H.; Zhang, J.; Zhang, J. Effects of longevity and dependency rates on saving and growth: Evidence from a panel of cross countries. J. Dev. Econ. 2007, 84, 138–154, doi:10.1016/j.jdeveco.2006.10.002.
[13]
Maestas, N.; Zissimopoulos, J. How longer work lives ease the crunch of population aging. J. Econ. Perspect. 2010, 24, 139–160, doi:10.1257/jep.24.1.139.
[14]
Futagami, K.; Nakajima, T. Population aging and economic growth. J. Macroecon. 2002, 23, 31–44, doi:10.1016/S0164-0704(01)00153-7.
[15]
Hashimoto, K.; Tabata, K. Population aging, health care, and growt. J. Popul. Econ. 2010, 23, 571–593, doi:10.1007/s00148-008-0216-5.
[16]
Aisa, R.; Pueyo, F. Population aging, health care, and growth: A comment on the effects of capital accumulation. J. Popul. Econ. 2013, 26, 1285–1301, doi:10.1007/s00148-012-0448-2.
[17]
Health, United States, 2011: With Special Feature on Socioeconomic Status and Health; National Center for Health Statistics: Hyattsville, MD, USA, 2012.
[18]
Health, United States, 2012: With Special Feature on Emergency Care; National Center for Health Statistics: Hyattsville, MD, USA, 2013.
[19]
Kurzweil, R. The Law of Accelerating Returns. 2001. Available online: http://www.kurzweilai.net/the-law-of-accelerating-returns (accessed on 6 November 2013).
[20]
deWitt, N.D.; Yaffe, M.P.; Trounson, A. Building stem-cell genomics in California and beyond. Nat. Biotechnol. 2012, 30, 20–25, doi:10.1038/nbt.2086.
[21]
Nelson, T.J.; Martinez-Fernandez, A.; Yamada, S.; Perez-Terzic, C.; Ikeda, Y.; Terzic, A. Repair of acute myocardial infarction by human stemness factors induced pluripotent stem cells. Circulation 2009, 120, 408–416, doi:10.1161/CIRCULATIONAHA.109.865154.
[22]
Wu, S.M.; Hochedlinger, K. Harnessing the potential of induced pluripotent stem cells for regenerative medicine. Nat. Cell Biol. 2011, 13, 497–505, doi:10.1038/ncb0511-497.
[23]
Zhavoronkov, A. The Ageless Generation: How Advances in Biomedicine Will Transform the Global Economy; Palgrave Macmillan: New York, NY, USA, 2013; pp. 19–31.
[24]
Zhavoronkov, A.; Debonneuil, E.; Mirza, N.; Artyuhov, I. Evaluating the impact of recent advances in biomedical sciences and the possible mortality decreases on the future of health care and Social Security in the United States. Pensions 2012, 17, 241–251, doi:10.1057/pm.2012.28.
[25]
Zhavoronkov, A.; Cantor, C.R. Methods for structuring scientific knowledge from many areas related to aging research. PLoS One 2011, 6, doi:10.1371/journal.pone.0022597.
[26]
Outsourcing in Drug Discovery; Kalorama Information: New York, NY, USA, 2012.
[27]
Himmelstein, D.U.; Thorne, D.; Warren, E.; Woolhandler, S. Medical bankruptcy in the United States, 2007: Results of a national study. Amer. J. Med. 2009, 122, 741–746, doi:10.1016/j.amjmed.2009.04.012.
[28]
Felder, S.; Meier, M.; Schmitt, H. Health care expenditure in the last months of life. J. Health Econ. 2000, 19, 679–695, doi:10.1016/S0167-6296(00)00039-4.
[29]
de Meijer, C.; Wouterse, B.; Polder, J.; Koopmanschap, M. The effect of population aging on health expenditure growth: A critical review. Eur. J. Ageing 2013, doi:10.1007/s10433-013-0280-x.
[30]
Pandya, A.; Gaziano, T.A.; Weinstein, M.C.; Cutler, D. More Americans living longer with cardiovascular disease will increase costs while lowering quality of life. Health Aff. 2013, 32, 1706–1714, doi:10.1377/hlthaff.2013.0449.
[31]
Muto, I.; Oda, T.; Sudo, N. Macroeconomic Impact of Population Aging in Japan: A Perspective from An Overlapping Generations Model; MPRA: Munich, Germany, 2012.
[32]
Kellermann, A.L.; Vaiana, M.E.; Hussey, P.S.; Chari, R.; Lowsky, D.; Mulcahy, A. Flattening the Trajectory of Health Care Spending; RAND Corporation: Santa Monica, CA, USA, 2012.
[33]
Lowsky, D.; Zenios, S. Health savings accounts: Consumer contribution strategies & policy implications. Oper. Res. 2013. submitted.
[34]
Li, Q.; Tuljapurkar, S. Life, Death and the Economy: Mortality Change in an Overlapping Generations Model. In Ageing in Advanced Industrial States; Tuljapurkar, S., Ogawa, N., Gauthier, A.H., Eds.; Springer: Heidelberg, the Netherlands, 2010; Volume 8.
[35]
Yaari, M.E. Uncertain lifetime, life insurance, and the theory of the consumer. Rev. Econ. Stud. 1965, 22, 137–150.
[36]
Hviding, K.; Mérette, M. Macroeconomic Effects of Pension Reforms in the Context of Ageing Populations: Overlapping Generations Model Simulations for Seven OECD Countries. Economics Department Working Papers No. 201; Organization for Economic Co-operation and Development: Paris, France, 1998.
[37]
Barer, M.L.; Evans, R.G.; Hertzman, C.; Lomas, J. Aging and health care utilization: New evidence on old fallacies. Soc. Sci. Med. 1987, 24, 851–862, doi:10.1016/0277-9536(87)90186-9.
[38]
Alemayehu, B.; Warner, K.E. The lifetime distribution of health care costs. Health Serv. Res. 2004, 39, 627–642, doi:10.1111/j.1475-6773.2004.00248.x.
[39]
Stein, R. Review of Prostate Cancer Drug Provenge Renews Medical Cost-Benefit Debate. The Washington Post, 8, November, 2010.
[40]
Goldman, D.P.; Cutler, D.; Rowe, J.W.; Michaud, P.C.; Sullivan, J.; Peneva, D.; Olshansky, S.J. Substantial health and economic returns from delayed aging may warrant a new focus for medical research. Health Aff. 2013, 32, 1698–1705, doi:10.1377/hlthaff.2013.0052.
[41]
Prettner, K.; Prskawetz, A. Demographic change in models of endogenous economic growth. A survey. Cent. Eur. J. Oper. Res. 2010, 18, 593–608, doi:10.1007/s10100-010-0179-y.
[42]
Weber, L. Demographic Change and Economic Growth: Simulations on Growth Models; Springer: Berlin, Germany, 2010.
[43]
Lee, R. The outlook for population growth. Science 2011, 333, 569–573, doi:10.1126/science.1208859.
