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Article: The compression of deaths above the mode

TitleThe compression of deaths above the mode
Authors
KeywordsCompression of mortality
Lexis model
Logistic model
Modal age of death
Oldest old mortality decline
Issue Date2010
PublisherMax Planck Institute for Demographic Research. The Journal's web site is located at http://www.demographic-research.org
Citation
Demographic Research, 2010, v. 22 article no. 17, p. 505-538 How to Cite?
AbstractKannisto (2001) has shown that as the frequency distribution of ages at death has shifted to the right, the age distribution of deaths above the modal age has become more compressed. In order to further investigate this old-age mortality compression, we adopt the simple logistic model with two parameters, which is known to fit data on old-age mortality well (Thatcher 1999). Based on the model, we show that three key measures of old-age mortality (the modal age of adult deaths, the life expectancy at the modal age, and the standard deviation of ages at death above the mode) can be estimated fairly accurately from death rates at only two suitably chosen high ages (70 and 90 in this study). The distribution of deaths above the modal age becomes compressed when the logits of death rates fall more at the lower age than at the higher age. Our analysis of mortality time series in six countries, using the logistic model, endorsed Kannisto's conclusion. Some possible reasons for the compression are discussed. © 2010 A. Roger Thatcher et al.
Persistent Identifierhttp://hdl.handle.net/10722/87824
ISSN
2023 Impact Factor: 2.1
2023 SCImago Journal Rankings: 1.028
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorThatcher, ARen_HK
dc.contributor.authorCheung, KSLen_HK
dc.contributor.authorHoriuchi, Sen_HK
dc.contributor.authorRobine, JMen_HK
dc.date.accessioned2010-09-06T09:34:53Z-
dc.date.available2010-09-06T09:34:53Z-
dc.date.issued2010en_HK
dc.identifier.citationDemographic Research, 2010, v. 22 article no. 17, p. 505-538en_HK
dc.identifier.issn1435-9871en_HK
dc.identifier.urihttp://hdl.handle.net/10722/87824-
dc.description.abstractKannisto (2001) has shown that as the frequency distribution of ages at death has shifted to the right, the age distribution of deaths above the modal age has become more compressed. In order to further investigate this old-age mortality compression, we adopt the simple logistic model with two parameters, which is known to fit data on old-age mortality well (Thatcher 1999). Based on the model, we show that three key measures of old-age mortality (the modal age of adult deaths, the life expectancy at the modal age, and the standard deviation of ages at death above the mode) can be estimated fairly accurately from death rates at only two suitably chosen high ages (70 and 90 in this study). The distribution of deaths above the modal age becomes compressed when the logits of death rates fall more at the lower age than at the higher age. Our analysis of mortality time series in six countries, using the logistic model, endorsed Kannisto's conclusion. Some possible reasons for the compression are discussed. © 2010 A. Roger Thatcher et al.-
dc.languageengen_HK
dc.publisherMax Planck Institute for Demographic Research. The Journal's web site is located at http://www.demographic-research.orgen_HK
dc.relation.ispartofDemographic Researchen_HK
dc.subjectCompression of mortality-
dc.subjectLexis model-
dc.subjectLogistic model-
dc.subjectModal age of death-
dc.subjectOldest old mortality decline-
dc.titleThe compression of deaths above the modeen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1435-9871&volume=22 article no. 17&spage=505&epage=538&date=2010&atitle=The+compression+of+deaths+above+the+modeen_HK
dc.identifier.emailCheung, KSL: cheungslk@hotmail.comen_HK
dc.identifier.authorityCheung, KSL=rp00615en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.4054/DemRes.2010.22.17-
dc.identifier.scopuseid_2-s2.0-77952058400-
dc.identifier.hkuros168313en_HK
dc.identifier.volume22 article no. 17-
dc.identifier.spage505-
dc.identifier.epage538-
dc.identifier.isiWOS:000275962400001-
dc.identifier.issnl1435-9871-

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