Current Labor Statistics -- November.
The article presents notes on labor statistics for the month of November 2003. It presents the principal statistical series collected and calculated by the Bureau of Labor Statistics. It presents data on labor force, employment, unemployment, labor compensation, consumer, producer, and international...
| Publicado en: | Monthly Labor Review Vol. 126; no. 11/12; pp. 25 - 116 |
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| Formato: | Artículo |
| Publicado: |
US Department of Labor
Nov/Dec2003
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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=12123942&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 12123942 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: Nov/Dec2003 vid: 126 iid: 11/12 pid: 1929 pub: US Department of Labor artinfo: ui: 12123942 ppf: 25 ppct: 91 formats: fmt: – @attributes: type: T – @attributes: type: P size: 12.9MB tig: atl: Current Labor Statistics -- November. aug: su: Government agencies Labor supply Unemployment Wages Consumers Statistics on the working class sug: subj: Government agencies Labor supply Unemployment Wages Consumers Other local, municipal and regional public administration Other General Government Support Other provincial and territorial public administration Other federal government public administration Temporary Help Services Statistics on the working class ab: The article presents notes on labor statistics for the month of November 2003. It presents the principal statistical series collected and calculated by the Bureau of Labor Statistics. It presents data on labor force, employment, unemployment, labor compensation, consumer, producer, and international prices, productivity, international comparisons and injury and illness. Certain monthly and quarterly data are adjusted to eliminate the effect on the data of such factors as climatic conditions, industry production schedules, opening and closing of schools, holiday buying periods, and vacation practices, which might prevent short-term evaluation of the statistical series. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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