Computers and Productivity: are Aggregation Effects Important?
This article examines the empirical implications of aggregation bias when measuring the productive impact of computers. To isolate "aggregation in variables" and "aggregation in relations" problems, we compare production function estimates across specifications, econometric estimators, and data levels. The results show both sources of bias are important, especially when moving from sectors to the economy level, and when the elasticity of all types of noncomputer capital are restricted to be equal. The elasticity of computers is surprisingly stable between industry and sector regressions and does not appear biased by incorporating a restrictive measure of non-computer capital. The data consistently show that computers have a large impact on output. Copyright 2002, Oxford University Press.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Volume (Year): 40 (2002)
Issue (Month): 1 (January)
|Contact details of provider:|| Postal: |
Fax: 01865 267 985
Web page: http://ei.oupjournals.org/
More information through EDIRC
|Order Information:||Web: http://www.oup.co.uk/journals|
When requesting a correction, please mention this item's handle: RePEc:oup:ecinqu:v:40:y:2002:i:1:p:42-59. See general 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: (Oxford University Press)or (Christopher F. Baum)
If references are entirely missing, you can add them using this form.