A Bayesian Approach to Modeling and Projecting Cohort Effects

References

• Blake, D., and W. Burrows. 2001. Survivor bonds: Helping to hedge mortality risk. The Journal of Risk and Insurance 68 (2):339–48. doi:10.2307/2678106
   Web of Science ®Google Scholar
• Blake, D., A. J. Cairns, and K. Dowd. 2006. Living with mortality: Longevity bonds and other mortality-linked securities. British Actuarial Journal 12 (1):153–97. doi:10.1017/S1357321700004736
   Google Scholar
• Cairns, A. J., D. Blake, and K. Dowd. 2006. Pricing death: Frameworks for the valuation and securitization of mortality risk. ASTIN Bulletin 36 (1):79–120. doi:10.1017/S0515036100014410
   Web of Science ®Google Scholar
• Cairns, A. J., D. Blake, K. Dowd, G. D. Coughlan, D. Epstein, and M. Khalaf-Allah. 2011. Mortality density forecasts: An analysis of six stochastic mortality models. Insurance: Mathematics and Economics 48 (3):355–67. doi:10.1016/j.insmatheco.2010.12.005.
   Web of Science ®Google Scholar
• Cairns, A. J., Blake, D. K. Dowd, G. D. Coughlan, D. Epstein, A. Ong, I. Balevich. and I. 2009. A quantitative comparison of stochastic mortality models using data from England and Wales and the United States. North American Actuarial Journal 13 (1):1–35. doi:10.1080/10920277.2009.10597538
   Google Scholar
• Cairns, A. J., D. Blake, K. Dowd, and A. Kessler. 2015. Phantoms never die: Living with unreliable population data. Journal of the Royal Statistical Society: Series A (Statistics in Society) 179 (4):975–1005.
   Web of Science ®Google Scholar
• Dawson, P., K. Dowd, A. J. Cairns, and D. Blake. 2010. Survivor derivatives: A consistent pricing framework. Journal of Risk and Insurance 77 (3):579–96. doi:10.1111/j.1539-6975.2010.01356.x.
   Web of Science ®Google Scholar
• Dowd, K. 2003. Survivor bonds: A comment on Blake and Burrows. Journal of Risk & Insurance 70 (2):339–48. doi:10.1111/1539-6975.00063
   Web of Science ®Google Scholar
• Dowd, K., A. J. Cairns, and D. Blake. 2006. Mortality-dependent financial risk measures. Insurance: Mathematics and Economics 38 (3):427–40. doi:10.1016/j.insmatheco.2005.11.003
   Web of Science ®Google Scholar
• Dowd, K., A. J. G. Cairns, D. Blake, G. D. Coughlan, and M. Khalaf-Allah. 2011. A gravity model of mortality rates for two related populations. North American Actuarial Journal 15 (2):334–56. doi:10.1080/10920277.2011.10597624.
   Google Scholar
• Fetiveau, C., and C. Jia. 2014. Longevity risk hedging with population based index solution - A study of basis risk based on England & Wales population, Tech. rep., Deutsche Bank.
   Google Scholar
• Haberman, S., and A. Renshaw. 2011. A comparative study of parametric mortality projection models. Insurance: Mathematics and Economics 48 (1):35–55. doi:10.1016/j.insmatheco.2010.09.003.
   Web of Science ®Google Scholar
• Human Mortality Database (Shkolnikov, V., and M. Barbieri, with J. Wilmoth). 2014. University of California, Berkeley, and Max Planck Institute for Demographic Research. http://www.mortality.org.
   Google Scholar
• Hunt, A., and D. Blake. 2014. A general procedure for constructing mortality models. North American Actuarial Journal 18 (1):116–38. doi:10.1080/10920277.2013.852963.
   Google Scholar
• Hunt, A., and D. Blake. 2015. Modelling longevity bonds: Analysing the Swiss Re Kortis Bond. Insurance: Mathematics and Economics 63:12–29. doi:10.1016/j.insmatheco.2015.03.017
   Web of Science ®Google Scholar
• Hunt, A., and D. Blake. 2020a. On the structure and classification of mortality models. North American Actuarial Journal (forthcoming).
   Google Scholar
• Hunt, A., and D. Blake. 2020b. Forward mortality rates in discrete time I: Calibration and securities pricing. North American Actuarial Journal (forthcoming).
   Google Scholar
• Hunt, A., and D. Blake. 2020c. Forward mortality rates in discrete time II: Longevity risk and hedging strategies. North American Actuarial Journal (forthcoming).
   Google Scholar
• Hunt, A., and D. Blake. 2020d. Identifiability in age/period mortality models. Annals of Actuarial Science (forthcoming).
   Google Scholar
• Hunt, A., and D. Blake. 2020e. Identifiability in age/period/cohort mortality models. Annals of Actuarial Science (forthcoming).
   Google Scholar
• Kaas, R., M. Goovaerts, J. Dhaene, and M. M. Denuit. 2008. Modern actuarial risk theory. Berlin: Springer.
   Google Scholar
• Koissi, M., A. Shapiro, and G. Hognas. 2006. Evaluating and extending the Lee-Carter model for mortality forecasting: Bootstrap confidence interval. Insurance: Mathematics and Economics 38 (1):1–20. doi:10.1016/j.insmatheco.2005.06.008
   Web of Science ®Google Scholar
• Mavros, G., A. J. Cairns, T. Kleinow, and G. Streftaris. 2014. A parsimonious approach to stochastic mortality modelling with dependent residuals, Tech. Rep., Heriot-Watt University, Edinburgh.
   Google Scholar
• Murphy, M. 2009. The “golden generations” in historical context. British Actuarial Journal 15 (S1):151–84. doi:10.1017/S1357321700005559.
   Google Scholar
• Murphy, M. 2010. Re-examining the dominance of birth cohort effects on mortality. Population and Development Review 36 (2):365–90. doi:10.1111/j.1728-4457.2010.00334.x URL http://www.ncbi.nlm.nih.gov/pubmed/20734557.
   PubMed Web of Science ®Google Scholar
• Pedroza, C. 2006. A Bayesian forecasting model: Predicting U.S. male mortality. Biostatistics 7 (4):530–50. doi:10.1093/biostatistics/kxj024
   PubMed Web of Science ®Google Scholar
• Plat, R. 2009. On stochastic mortality modeling. Insurance: Mathematics and Economics 45 (3):393–404. doi:10.1016/j.insmatheco.2009.08.006.
   Web of Science ®Google Scholar
• Reichmuth, W., and S. Sarferaz. 2008. Bayesian demographic modeling and forecasting: An application to U.S. mortality, Tech. Rep., Humbolt University, Berlin.
   Google Scholar
• Richards, S. J. 2008. Detecting year-of-birth mortality patterns with limited data. Journal of the Royal Statistical Society: Series A (Statistics in Society) 171 (1):279–98. doi:10.1111/j.1467-985X.2007.00501.x
   Google Scholar
• Willets, R. 1999. Mortality in the next millennium, Staple Inn Actuarial Society.
   Google Scholar
• Willets, R. 2004. The cohort effect: Insights and explanations. British Actuarial Journal 10 (4):833–77. doi:10.1017/S1357321700002762
   Google Scholar