Issues in Assessing the Contribution of Research and Development to Productivity Growth
Zvi Griliches
Bell Journal of Economics, 1979, vol. 10, issue 1, 92-116
Abstract:
This article outlines the production function approach to the estimation of the returns to R&D and then proceeds to discuss in turn two very difficult problems: the measurement of output in R&D intensive industries and the definition and measurement of the stock R&D "capital." The latter concept leads to a discussion of modeling of the spillover effects of R&D and to suggestions for possible measurement of such effects via the concept of technological distance between firms and industries. Somewhat more familiar econometric problems (multicollinearity and simultaneity) are taken up in the next section and another section is devoted to estimation and inference problems arising more specifically in the R&D context. Several recent studies of returns to R&D are then surveyed, and the paper concludes with a plea for a lowering of expectations as to what the available data can tell us and with suggestions for ways of expanding the current data base in this field.
Date: 1979
References: Add references at CitEc
Citations: View citations in EconPapers (1837)
Downloads: (external link)
http://links.jstor.org/sici?sici=0361-915X%2819792 ... O%3B2-Z&origin=repec full text (application/pdf)
Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.
Related works:
Chapter: Issues in Assessing the Contribution of Research and Development to Productivity Growth (1998) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:rje:bellje:v:10:y:1979:i:spring:p:92-116
Ordering information: This journal article can be ordered from
https://editorialexp ... i-bin/rje_online.cgi
Access Statistics for this article
More articles in Bell Journal of Economics from The RAND Corporation
Bibliographic data for series maintained by ().