Possible measurement bias in aggregate productivity growth.
Detailed study of industry multifactor productivity will provide researchers with new insights into the theory of measurement bias in aggregate output and activity. The multifactor productivity framework is ideal for examining these issues because it facilitates analysis of capital inputs and inter...
| Publicado en: | Monthly Labor Review Vol. 122; no. 2; pp. 47 - 68 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
US Department of Labor
February 1999
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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=503591919&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 503591919 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: February 1999 vid: 122 iid: 2 pid: 1929 pub: US Department of Labor artinfo: ui: 503591919 ppf: 47 ppct: 21 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P size: 2.1MB tig: atl: Possible measurement bias in aggregate productivity growth. aug: au: Gullickson, William Harper, Michael J. su: United States. Bureau of Labor Statistics Labor productivity Employment statistics Input-output analysis Industries Productivity accounting Mathematical models United States sug: subj: United States United States. Bureau of Labor Statistics Labor productivity Employment statistics Input-output analysis Industries Productivity accounting Mathematical models ab: Detailed study of industry multifactor productivity will provide researchers with new insights into the theory of measurement bias in aggregate output and activity. The multifactor productivity framework is ideal for examining these issues because it facilitates analysis of capital inputs and intermediate flows between industries. Using multifactor productivity measures makes comparison of industry and sectoral productivity trends possible. The writers present multifactor productivity measures as a means of examining possible problems with data. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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