Long-run technical change and multifactor productivity growth in US manufacturing
AbstractThis study utilizes a translog cost function to produce econometric estimates of the separate influences of technical change versus scale efficiency in contributing to multifactor productivity growth within the US manufacturing sector. The analysis generates (two-digit) industry-specific parameters that capture the effects of output versus time-related shifts in the cost function over the 1949-1991 period. Thus initial evidence concerning the relative importance of technical progress (versus 'scale') cannot be provided as a source of productivity gains within two-digit industries. The parametric estimates of total factor productivity growth are compared with existing Divisia measures to explore the shortcomings of the growth accounting technique. These long-run patterns hold implications for the productivity convergence hypothesis traced to knowledge spillovers between industries.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics.
Volume (Year): 33 (2001)
Issue (Month): 3 ()
Contact details of provider:
Web page: http://www.tandfonline.com/RAEC20
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
If references are entirely missing, you can add them using this form.