Model-based estimates for the Occupational Employment Statistics program.
The article describe the details of an alternative estimation method for producing estimates of occupational employment levels and mean wages for the Occupation Employment Statistics survey. It discusses the model-based estimates for the Occupational Employment Statistics program, along with informa...
| Publicado en: | Monthly Labor Review pp. 1 - 23 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
US Department of Labor
Aug2019
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| Materias: | |
| 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=138719768&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 138719768 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: Aug2019 pid: 1929 pub: US Department of Labor artinfo: ui: 138719768 10.21916/mlr.2019.19 ppf: 1 ppct: 22 formats: fmt: @attributes: type: P size: 4.6MB tig: atl: Model-based estimates for the Occupational Employment Statistics program. aug: au: Dey, Matthew Piccone Jr, David S. Miller, Stephen M. affil: Matthew Dey is a research economist in the Office of Employment and Unemployment Statistics, U.S. Bureau of Labor Statistics David S. Piccone Jr is a statistician in the Office of Employment and Unemployment Statistics, U.S. Bureau of Labor Statistics Stephen M. Miller is a research mathematical statistician in the Office of Survey Methods Research, U.S. Bureau of Labor Statistics su: Employment statistics Industry classification sug: subj: Employment statistics Industry classification ab: The article describe the details of an alternative estimation method for producing estimates of occupational employment levels and mean wages for the Occupation Employment Statistics survey. It discusses the model-based estimates for the Occupational Employment Statistics program, along with information on the introduction of a bootstrap variance estimation system to accompany the new estimation method. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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