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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...

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Publicado en:Monthly Labor Review Vol. 122; no. 2; pp. 47 - 68
Autores principales: Gullickson, William, Harper, Michael J.
Formato: Artículo
Publicado: US Department of Labor February 1999
Materias:
United States. Bureau of Labor Statistics
Labor productivity
Employment statistics
Input-output analysis
Industries
Productivity accounting
Mathematical models
United States
Acceso en línea:Ver este registro en EBSCOhost
Sumario: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.