00000nam 2200000zi 4500 9.942408 CaOODSP 20240829120749 m o d f cr cn||||||||| 240826e20240325oncbd ob f000 0 eng d CaOODSP eng rda CaOODSP CS11-522/2022-1-3E-PDF Erciulescu, Andreea L., author. A model-based disaggregation method for estimation of adult competency / by Andreea L. Erciulescu, Weijia Ren, Jianzhu Li, Tom Krenzke, Leyla Mohadjer and Robert Fay. At head of title: Proceedings of Statistics Canada Symposium 2022 : data disaggregation : building a more representative data portrait of society [Ottawa] : Statistics Canada = Statistique Canada, March 25, 2024. 1 online resource (7 unnumbered pages) : maps, graphs. text txt rdacontent computer c rdamedia online resource cr rdacarrier [Statistics Canada international symposium series : proceedings], 1709-8211 Cover title. Issued also in French under title: Méthode de désagrégation fondée sur un modèle pour l'estimation des compétences des adultes. Includes bibliographical references. "Estimation at fine levels of aggregation is necessary to better describe society. Small area estimation model-based approaches that combine sparse survey data with rich data from auxiliary sources have been proven useful to improve the reliability of estimates for small domains. Considered here is a scenario where small area model-based estimates, produced at a given aggregation level, needed to be disaggregated to better describe the social structure at finer levels. For this scenario, an allocation method was developed to implement the disaggregation, overcoming challenges associated with data availability and model development at such fine levels"--Abstract. Small area statistics. Estimation theory. Statistics Canada, issuing body. Méthode de désagrégation fondée sur un modèle pour l'estimation des compétences des adultes / (CaOODSP)9.942414 Statistics Canada international symposium series - proceedings, 1709-8211 (CaOODSP)9.505681 PDF 393 KB https://publications.gc.ca/collections/collection_2024/statcan/11-522-x/CS11-522-2022-1-3-eng.pdf 11-522-X