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dc.contributor.authorHarris, Mark
dc.contributor.authorDockery, A.
dc.contributor.authorHolyoak, N.
dc.contributor.authorSingh, Ranjodh
dc.identifier.citationDockery, A. and Harris, M. and Holyoak, N. and Singh, R. 2020. A methodology for projecting sparse populations and its application to remote Indigenous communities. Journal of Geographical Systems.

© 2020, The Author(s).

A new method is proposed for generating projections for sparse populations by locality, age cohort and gender. An adaptation of the cohort replacement method, the approach uses a Tobit model with varying censoring limits to model population changes by cohort. As an applied example, projections are generated for 2016 Indigenous populations in communities in regional and remote Australia, and then compared to actual 2016 Census population counts. We argue the approach has considerable potential, with the model performing well in out-of-sample projection while offering projections at a much finer-grained level of disaggregation than currently available to planners and policy-makers.

dc.publisherSpringer Nature
dc.subjectSocial Sciences
dc.subjectPopulation modelling
dc.subjectPopulation projections
dc.subjectCohort replacement
dc.subjectRegional and remote
dc.titleA methodology for projecting sparse populations and its application to remote Indigenous communities
dc.typeJournal Article
dcterms.source.titleJournal of Geographical Systems
curtin.departmentSchool of Economics, Finance and Property
curtin.accessStatusOpen access
curtin.facultyFaculty of Business and Law
curtin.contributor.orcidHarris, Mark [0000-0002-1804-4357]
curtin.contributor.orcidSingh, Ranjodh [0000-0003-3370-5659]
curtin.contributor.scopusauthoridHarris, Mark [35561581200] [55310794400]

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