A state space model-based method of seasonal adjustment.
The business community and government agencies generally use the seasonally adjusted data series provided by the Bureau of Labor Statistics to evaluate the economic environment. The seasonally adjusted series is preferred for several reasons, including the possibility that the presence of seasonali...
| Publicado en: | Monthly Labor Review Vol. 124; no. 7; pp. 37 - 46 |
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| Formato: | Artículo |
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US Department of Labor
July 2001
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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=503818466&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 503818466 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: July 2001 vid: 124 iid: 7 pid: 1929 pub: US Department of Labor artinfo: ui: 503818466 ppf: 37 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.7MB tig: atl: A state space model-based method of seasonal adjustment. aug: au: Jain, Raj K. su: Economic seasonal variations Time series analysis Econometric models sug: subj: Economic seasonal variations Time series analysis Econometric models ab: The business community and government agencies generally use the seasonally adjusted data series provided by the Bureau of Labor Statistics to evaluate the economic environment. The seasonally adjusted series is preferred for several reasons, including the possibility that the presence of seasonality in time series obscures both the stage of the business cycle that the economy is in and the effects on the economy of interventions such as a rapid reduction in oil production. The writer presents a structural model–based method of seasonal adjustment—the state space model-based method—and details research conducted on this method and illustrates the method's advantages. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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