Model-based seasonally adjusted estimates and sampling error.
The article presents a study which applied an experimental model-based method to selected Current Population Survey (CPS) demographic series. The presence of large survey errors in the detailed CPS series represents a major challenge to conventional methods of seasonal adjustment. The U.S. Bureau of...
| Publicado en: | Monthly Labor Review Vol. 128; no. 9; pp. 27 - 38 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
US Department of Labor
Sept2005
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=26316440&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 26316440 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00981818 MLR jtl: Monthly Labor Review issn: 00981818 maglogo: N pubinfo: dt: Sept2005 vid: 128 iid: 9 pid: 1929 pub: US Department of Labor artinfo: ui: 26316440 ppf: 27 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P size: 142KB tig: atl: Model-based seasonally adjusted estimates and sampling error. aug: au: Tiller, Richard Di Natale, Marisa affil: Mathematical statistician, Statistical Methods Staff su: United States United States. Bureau of Labor Statistics Demographic surveys Population Mathematical models Statistics sug: subj: Demographic surveys Population United States United States. Bureau of Labor Statistics Administration of General Economic Programs Mathematical models Statistics ab: The article presents a study which applied an experimental model-based method to selected Current Population Survey (CPS) demographic series. The presence of large survey errors in the detailed CPS series represents a major challenge to conventional methods of seasonal adjustment. The U.S. Bureau of Labor Statistics (BLS) uses a seasonal adjustment program called X-12-ARIMA to seasonally adjust its CPS series. An alternative that is gaining increasing attention is the model-based approach to seasonal adjustment. A comparison of the two approaches suggests that the model-based approach provides much-needed flexibility in controlling for the effects of sampling error. Such flexibility is not possible with the conventional moving-average approach. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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