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dc.contributor.authorOzhamaratli, Fatih
dc.contributor.authorKitov, Oleg
dc.contributor.authorBarucca, Paolo
dc.date.accessioned2022-01-29T16:34:36Z
dc.date.available2022-01-29T16:34:36Z
dc.date.issued2022-12
dc.date.submitted2021-07-27
dc.identifier.issn2193-1127
dc.identifier.otherepjds/s13688-022-00317-x
dc.identifier.other317
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/333425
dc.description.abstract<jats:title>Abstract</jats:title><jats:p>Each individual in society experiences an evolution of their income during their lifetime. Macroscopically, this dynamic creates a statistical relationship between age and income for each society. In this study, we investigate income distribution and its relationship with age and identify a stable joint distribution function for age and income within the United Kingdom and the United States. We demonstrate a flexible calibration methodology using panel and population surveys and capture the characteristic differences between the UK and the US populations. The model here presented can be utilised for forecasting income and planning pensions.</jats:p>
dc.languageen
dc.publisherSpringer Science and Business Media LLC
dc.subjectRegular Article
dc.subjectIncome dynamics
dc.subjectAgent based model
dc.subjectPension system
dc.titleA generative model for age and income distribution
dc.typeArticle
dc.date.updated2022-01-29T16:34:35Z
prism.issueIdentifier1
prism.publicationNameEPJ Data Science
prism.volume11
dc.identifier.doi10.17863/CAM.80848
dcterms.dateAccepted2022-01-12
rioxxterms.versionofrecord10.1140/epjds/s13688-022-00317-x
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidOzhamaratli, Fatih [0000-0002-7870-6316]
dc.identifier.eissn2193-1127
cam.issuedOnline2022-01-29


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