Computer Investment, Computer Networks and Productivity
Abstract
Researchers in a large empirical literature find significant relationships between computers and labor productivity, but the estimated size of that relationship varies considerably. In this paper, we estimate the relationships among computers, computer networks, and plant-level productivity in U.S. manufacturing. Using new data on computer investment, we develop a sample with the best proxies for computer and total capital that the data allow us to construct. We find that computer networks and computer inputs have separate, positive, and significant relationships with U.S. manufacturing plant-level productivity. Keywords: computer input; information technology; labor productivityDownload Info
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Paper provided by Center for Economic Studies, U.S. Census Bureau in its series Working Papers with number 05-01.Length: 39 pages
Date of creation: Jan 2005
Date of revision:
Handle: RePEc:cen:wpaper:05-01
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Related research
Keywords: computer input; information technology; labor productivity;This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-06-03 (All new papers)
- NEP-EFF-2006-06-03 (Efficiency & Productivity)
- NEP-INO-2006-06-03 (Innovation)
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Kevin Girdharry & Elena Simonova & Rock Lefebvre, 2012. "Investment in Machinery and Equipment is Essential to Canada's Future," Working Papers 120401, Certified General Accountants Association of Canada.
- B. Atrostic, 2008. "Measuring U.S. innovative activity: business data at the U.S. Census Bureau," The Journal of Technology Transfer, Springer, vol. 33(2), pages 153-171, April.
- Richard Dion & Robert Fay, 2008. "Understanding Productivity: A Review of Recent Technical Research," Discussion Papers 08-3, Bank of Canada.
- Sang Nguyen & B.K. Atrostic, 2006. "How Businesses Use Information Technology: Insights for Measuring Technology and Productivity," Working Papers 06-15, Center for Economic Studies, U.S. Census Bureau.
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