Vis enkel innførsel

dc.contributor.authorJia, Zhiyang
dc.contributor.authorLeknes, Stefan
dc.contributor.authorLøkken, Sturla A.
dc.coverage.spatialNorwayen_US
dc.date.accessioned2023-03-21T14:52:26Z
dc.date.available2023-03-21T14:52:26Z
dc.date.issued2023-03
dc.identifier.issn1892-753X
dc.identifier.urihttps://hdl.handle.net/11250/3059590
dc.description.abstractPopulation projections are predominantly made using the cohort-component method (CCM). The opportunities for further development within that framework are limited. Lately, with advances in technical and computational capacity, the microsimulation framework has become a serious contender. In contrast to CCM, it allows for rich com-plexity of behavior and provides insights on projection uncertainty. Still, demographers have been reluctant to apply this framework, which may be due to lack of guidance. We contribute by clarifying underlying CCM assumptions, translating a multi-regional version of the model into a dynamic spatial microsimulation model, and discuss the usefulness of prediction intervals for planning. Using data for Norway, we demonstrate that the re-sults for the two models are equivalent, even for very small subgroups, and converge with relatively few simulations. The model can easily be amended with additional indi-vidual heterogeneity, facilitating more accurate representations of population dynamics.en_US
dc.language.isoengen_US
dc.publisherStatistisk sentralbyråen_US
dc.relation.ispartofseriesDiscussion Paper;No. 999
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectPopulation projectionsen_US
dc.subjectMicrosimulationen_US
dc.subjectCohort-component methoden_US
dc.subjectUncertaintyen_US
dc.subjectMulti-regionalen_US
dc.subjectSmall areaen_US
dc.titleMoving beyond expectations. From cohort-component to microsimulation projectionsen_US
dc.typeWorking paperen_US
dc.source.pagenumber41en_US


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal