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A gravity model of mortality rates for two related populations

Dowd, Kevin; Cairns, Andrew; Blake, David; Coughlan, Guy and Khalaf-Allah, Marwa (2011): A gravity model of mortality rates for two related populations. Published in: North American Actuarial Journal , Vol. 15, No. 2 (2011)

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Abstract

The mortality rate dynamics between two related but different-sized populations are modeled consistently using a new stochastic mortality model that we call the gravity model. The larger population is modeled independently, and the smaller population is modeled in terms of spreads (or deviations) relative to the evolution of the former, but the spreads in the period and cohort effects between the larger and smaller populations depend on gravity or spread reversion parameters for the two effects. The larger the two gravity parameters, the more strongly the smaller population’s mortality rates move in line with those of the larger population in the long run. This is important where it is believed that the mortality rates between related populations should not diverge over time on grounds of biological reasonableness. The model is illustrated using an extension of the Age-Period-Cohort model and mortality rate data for English and Welsh males representing a large population and the Continuous Mortality Investigation assured male lives representing a smaller related population.

Item Type:MPRA Paper
Language:English
Keywords:Gravity model; mortality rates; related populations
Subjects:J - Labor and Demographic Economics > J1 - Demographic Economics > J11 - Demographic Trends and Forecasts
ID Code:35738
Deposited By:David Blake
Deposited On:07. Jan 2012 00:05
Last Modified:07. Jan 2012 00:05
References:

BOOTH, H., AND L. TICKLE. 2008. Mortality Modelling and Forecasting: A Review of Methods. Annals of Actuarial Science 3: 3–43.

CAIRNS, A. J. G., D. BLAKE, K. DOWD, G. D. COUGHLAN, D. EPSTEIN, A. ONG, AND I. BALEVICH. 2009. A Quantitative Comparison of Stochastic Mortality Models Using Data from England and Wales and the United States. North American Actuarial Journal 13(4): 1–35.

CAIRNS, A. J. G., D. BLAKE, K. DOWD, G. D. COUGHLAN, AND M. KHALAF-ALLAH. 2011a. Mortality Density Forecasts: An Analysis of Six Stochastic Mortality Models. Insurance: Mathematics & Economics 48: 355–367.

CAIRNS, A. J. G., D. BLAKE, K. DOWD, G. D. COUGHLAN, AND M. KHALAF-ALLAH. 2011b. Bayesian Stochastic Mortality Modelling for Two Populations. ASTIN Bulletin 41(1): 29–59.

COUGHLAN, G. D., M. KHALAF-ALLAH, Y. YE, S. KUMAR, A. J. G. CAIRNS, D. BLAKE, AND K. DOWD. 2011. Longevity Hedging 101: A Framework for Longevity Basis Risk Analysis and Hedge Effectiveness. North American Actuarial Journal 15(2): 150–176.

DOWD, K., A. J. G. CAIRNS, D. COUGHLAN, D. EPSTEIN, AND M. KHALAF-ALLAH. 2010a. Evaluating the Goodness of Fit of Stochastic Mortality Models. Insurance: Mathematics & Economics 33: 29–47.

DOWD, K., A. J. G. CAIRNS, D. BLAKE, G. D. COUGHLAN, D. EPSTEIN, AND M. KHALAF-ALLAH. 2010b. Backtesting Stochastic Mortality Models: An Ex-Post Evaluation of Multiperiod-Ahead Density Forecasts. North American Actuarial Journal 14(3): 281–298.

GUNAWARDENA, D., C. HICKS, AND D. O’NEILL. 2008. Pension Annuities: Pension Annuities and the Open Market Solution. Association of British Insurers Research Paper No. 8.

JACOBSEN, R., N. KEIDING, AND E. LYNGE. 2002. Long-Term Mortality Trends behind Low Life Expectancy of Danish Women. Journal of Epidemiology and Community Health 56: 205–208.

JARNER, S. F., AND E. M. KRYGER. 2009. Modelling Adult Mortality in Small Populations: The SAINT Model. Pensions Institute Discussion Paper PI-0902.

LI, J. S. H., AND M. R. HARDY. 2011. Measuring Basis Risk in Longevity Hedges. North American Actuarial Journal 15(2): 177–200.

LI, N., AND R. LEE. 2005. Coherent Mortality Forecasts for a Group of Populations: An Extension of the Lee-Carter Method. Demography 42(3): 575–594.

OEPPEN, J., AND J. W. VAUPEL. 2002. Broken Limits to Life Expectancy. Science 296(5570): 1029–1031.

OSMOND, C. 1985. Using Age, Period and Cohort Models to Estimate Future Mortality Rates. International Journal of Epidemiology 14: 124–129.

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