Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91850
DC FieldValueLanguage
dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorYuan, Yen_US
dc.creatorGu, Jen_US
dc.creatorGuo, Xen_US
dc.creatorZhu, Yen_US
dc.creatorFu, Qen_US
dc.date.accessioned2021-12-24T02:10:15Z-
dc.date.available2021-12-24T02:10:15Z-
dc.identifier.citationARTN e2532-
dc.identifier.otherARTN e2532-
dc.identifier.otherARTN e2532-
dc.identifier.otherARTN e2532-
dc.identifier.urihttp://hdl.handle.net/10397/91850-
dc.language.isoenen_US
dc.publisherJohn Wiley & Sons Ltd.en_US
dc.subjectAge-period-cohort analysisen_US
dc.subjectHomeownershipen_US
dc.subjectMultiple imputationen_US
dc.subjectPseudo dataen_US
dc.subjectStructural change analysisen_US
dc.titleDetecting temporal anomalies with pseudo age groups : homeownership in Canada, 1981 to 2016en_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.doi10.1002/psp.2532en_US
dcterms.abstractMethodological advances in demographic research, especially age-period-cohort (APC) analysis, primarily focus on developing new models yet often fail to consider practical concerns in empirical analysis. We propose a mixed approach that integrates multiple data imputation and structural change analysis in time series so that scholars can (i) construct pseudo age groups based on more coarsely grouped age data and (ii) identify temporal anomalies. This approach is illustrated using multiple waves of Canadian Population Census data (1981–2016). We construct pseudo age groups based on more coarse age information available in the Census data and identify a local anomaly in the temporal trajectory of homeownership in Canada's less populous provinces and territories. These findings are assessed and validated in comparison with results from more populous Canadian provinces. This research broadens the methodological repertoire for demographers, geographers, and social scientists in general and extends the literature on homeownership in an understudied area.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationPopulation, space and place, 2021, Early View, e2532, https://dx.doi.org/10.1002/psp.2532en_US
dcterms.isPartOfPopulation, space and placeen_US
dcterms.issued2021-
dc.identifier.isiWOS:000714000800001-
dc.identifier.scopus2-s2.0-85118481963-
dc.identifier.eissn1544-8452en_US
dc.identifier.artne2532en_US
dc.description.validate202112 bcrcen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera1038-n01-
dc.identifier.SubFormID2464-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextRGC: Project No. PolyU 15304917en_US
dc.description.fundingTextOthers: Social Sciences Humanities Research Council of Canada (#435-2021-0720, PI: Qiang Fu)en_US
dc.description.pubStatusEarly releaseen_US
dc.date.embargo0000-00-00 (to be updated)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 0000-00-00 (to be updated)
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