Modeling and projecting mortality. A new model of heterogeneity and selection in survivorship
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- Laurent Callot & Niels Haldrup & Malene Kallestrup-Lamb, 2016.
"Deterministic and stochastic trends in the Lee–Carter mortality model,"
Applied Economics Letters, Taylor & Francis Journals, vol. 23(7), pages 486-493, May.
- Laurent Callot & Niels Haldrup & Malene Kallestrup Lamb, 2014. "Deterministic and stochastic trends in the Lee-Carter mortality model," CREATES Research Papers 2014-44, Department of Economics and Business Economics, Aarhus University.
- Arthur Renshaw & Steven Haberman, 2003. "Lee–Carter mortality forecasting: a parallel generalized linear modelling approach for England and Wales mortality projections," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 52(1), pages 119-137, January.
- Hatzopoulos, P. & Haberman, S., 2015. "Modeling trends in cohort survival probabilities," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 162-179.
- Hans Hansen, 2000. "An AIDS model with reproduction with an application based on data from Uganda," Mathematical Population Studies, Taylor & Francis Journals, vol. 8(2), pages 175-203.
- Ting Li & Yang Yang & James Anderson, 2013. "Mortality Increase in Late-Middle and Early-Old Age: Heterogeneity in Death Processes as a New Explanation," Demography, Springer;Population Association of America (PAA), vol. 50(5), pages 1563-1591, October.
- 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.
- Li, Ting & Anderson, James J., 2009. "The vitality model: A way to understand population survival and demographic heterogeneity," Theoretical Population Biology, Elsevier, vol. 76(2), pages 118-131.
- S. Olshansky & Bruce Carnes, 1997. "Ever since gompertz," Demography, Springer;Population Association of America (PAA), vol. 34(1), pages 1-15, February.
- James Vaupel & Kenneth Manton & Eric Stallard, 1979. "The impact of heterogeneity in individual frailty on the dynamics of mortality," Demography, Springer;Population Association of America (PAA), vol. 16(3), pages 439-454, August.
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- Maxim S. Finkelstein, 2011. "On ordered subpopulations and population mortality at advanced ages," MPIDR Working Papers WP-2011-022, Max Planck Institute for Demographic Research, Rostock, Germany.
More about this item
Keywords
biodemography; heterogeneity and selection; stochastic micro-simulation; projection of survivorship;All these keywords.
JEL classification:
- J1 - Labor and Demographic Economics - - Demographic Economics
- J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
- J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
- J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
- J17 - Labor and Demographic Economics - - Demographic Economics - - - Value of Life; Foregone Income
NEP fields
This paper has been announced in the following NEP Reports:- NEP-AGE-2015-10-04 (Economics of Ageing)
- NEP-HEA-2015-10-04 (Health Economics)
- NEP-IAS-2015-10-04 (Insurance Economics)
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