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dc.creatorCaporale, G.M. (Guglielmo M.)-
dc.creatorInfante-Infante, J. (Juan)-
dc.creatorRío, M. (Marta) del-
dc.creatorGil-Alana, L.A. (Luis A.)-
dc.identifier.citationCaporale, G.M. (Guglielmo M.); Infante, J. (Juan); Río, M. (Marta) del; et al. "Persistence in UK historical data on life expectancy". Population Research and Policy Review. 42, 2023, 66es_ES
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 fexible than the classical methods based on integer diferentiation. 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 efects 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.es_ES
dc.description.sponsorshipLuis A. Gil-Alana gratefully acknowledges fnancial support from the MINEICAEI-FEDER ECO201785503-R project from ‘Ministerio de Economía, Industria y Competitividad’ (MINEIC), `Agencia Estatal de Investigación’ (AEI) Spain and `Fondo Europeo de Desarrollo Regional’ (FEDER). An internal Project from the Universidad Francisco de Vitoria is also acknowledged. Comments from the Editor and three anonymous reviewers are gratefully acknowledged.es_ES
dc.subjectLife expectancyes_ES
dc.subjectLong memoryes_ES
dc.subjectFractional integrationes_ES
dc.titlePersistence in UK historical data on life expectancyes_ES
dc.description.noteThis article is licensed under a Creative Commons Attribution 4.0 International Licensees_ES
dadun.citation.publicationNamePopulation Research and Policy Reviewes_ES

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