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Applying Lee-Carter under conditions of variable mortality decline

Bibliographic Data

ID7980097
AuthorsHeather Booth (0000-0002-8356-0534, Australian National University), JOHN MAINDONALD, John H Maindonald (0000-0002-0106-9224), Len Smith (0000-0002-5477-0874)
Year2002
Volume56
Issue3
Pages325-336
Publication date2002-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePopulation Studies (JOURNAL)
Journal identifiersISSN: 0032-4728 • E-ISSN: 1477-4747
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00324720215935
PMID12553330
OpenAlexW2040375181
LanguageEN
Citations received54
References cited18

The Lee-Carter method of mortality forecasting assumes an invariant age component and most applications have adopted a linear time component. The use of the method with Australian data is compromised by significant departures from linearity in the time component and changes over time in the age component. We modify the method to adjust the time component to reproduce the age distribution of deaths, rather than total deaths, and to determine the optimal fitting period in order to address non-linearity in the time component. In the Australian case the modification has the added advantage that the assumption of invariance is better met. For Australian data, the modifications result in higher forecast life expectancy than the original Lee-Carter method and official projections, and a 50 per cent reduction in forecast error. The model is also expanded to take account of age-time interactions by incorporating additional terms, but these are not readily incorporated into forecasts

Component (thermodynamics) · Econometrics · Invariant (physics) · Life expectancy · Linear system · Linearity · LTI system theory · Population · Statistics · Variable (mathematics) · Climate Change and Health Impacts · Demography · Engineering · Global Health Care Issues · Insurance, Mortality, Demography, Risk Management · Mathematics

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Unique citing works54
Citations per year2,45
Citation span2004 - 2026 (23)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 51

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