Abstract

 


 



A Gravity Model of Mortality Rates for Two Related Populations


Kevin Dowd


City University London - Sir John Cass Business School

Andrew J. G. Cairns


Heriot-Watt University - Department of Actuarial Science & Statistics

David P. Blake


City University London - Cass Business School - The Pensions Institute

Guy Coughlan


Pacific Global Advisors

Marwa Khalaf-Allah


J.P. Morgan

December 1, 2011

North American Actuarial Journal, Vol. 15, No. 2, 2011

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 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.

Accepted Paper Series


Date posted: January 24, 2012  

Suggested Citation

Dowd, Kevin, Cairns, Andrew J. G., Blake, David P., Coughlan, Guy and Khalaf-Allah, Marwa, A Gravity Model of Mortality Rates for Two Related Populations (December 1, 2011). North American Actuarial Journal, Vol. 15, No. 2, 2011 . Available at SSRN: http://ssrn.com/abstract=1969374

Contact Information

Kevin Dowd
City University London - Sir John Cass Business School ( email )
106 Bunhill Row
London, EC1Y 8TZ
United Kingdom
Andrew J. G. Cairns
Heriot-Watt University - Department of Actuarial Science & Statistics ( email )
Edinburgh EH14 4AS Scotland
United Kingdom
David P. Blake (Contact Author)
City University London - Cass Business School - The Pensions Institute ( email )
London, EC2Y 8HB
Great Britain
+44 (0) 20-7040-5143 (Phone)
+44 (0) 20-7040-8881 (Fax)
Guy Coughlan
Pacific Global Advisors ( email )
535 Madison Avenue
Floor 14
New York, NY 10022
United States
+1-212-405-6340 (Phone)
HOME PAGE: http://www.PacificGlobalAdvisors.com
Marwa Khalaf-Allah
J.P. Morgan ( email )
25 Bank Street
London, E14 5JP
United Kingdom
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 114

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo4 in 0.312 seconds