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dc.contributor.authorCaporale, Guglielmo Maria
dc.contributor.authorInfante, Juan
dc.contributor.authorDel Rio, Marta
dc.contributor.authorGil Alana, Luis A. 
dc.date.accessioned2024-02-27T11:28:49Z
dc.date.available2024-02-27T11:28:49Z
dc.date.issued2023
dc.identifier.issn0167-5923spa
dc.identifier.urihttps://hdl.handle.net/10641/4143
dc.description.abstractThis paper provides estimates of persistence in historical UK data on life expectancy applying fractional integration methods to both an annual series from 1842 to 2019 and a 5-year average from 1543 to 2019. This method is the most appropriate for our purposes since it is more general and flexible than the classical methods based on integer differentiation. The results indicate that the former exhibits an upward trend and is persistent but mean reverting; the same holds for the latter, though its degree of persistence is higher. Similar results are obtained for the logged values. On the whole, this evidence suggests that the effects of shocks to the series are transitory though persistent, which is useful information for policy makers whose task is to take appropriate measures to increase life expectancy.spa
dc.language.isoengspa
dc.publisherPopulation Research and Policy Reviewspa
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectLife expectancyspa
dc.subjectLong memoryspa
dc.subjectFractional integrationspa
dc.titlePersistence in UK Historical Data on Life Expectancy.spa
dc.typejournal articlespa
dc.type.hasVersionAMspa
dc.rights.accessRightsopen accessspa
dc.description.extent861 KBspa
dc.identifier.doi10.1007/s11113-023-09813-yspa
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s11113-023-09813-yspa


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