Estimating the Productivity of Research and Development: An Exploration of GMM Methods Using Data on French & United States Manufacturing Firms
AbstractA comparative study of the contribution of R&D to firm-level productivity in French and United States manufacturing firms in the 1980s is presented. The study uses two large panels of approximately 1000 manufacturing firms covering over half of all R&D spending in each country and focuses on the estimation and interpretation of the relationship between output growth and the growth of R&D investment in the presence of simultaneity and firm heterogeneity. We use GMM methods to control for both sources of estimation bias, and we find 1) overall, the contribution of R&D to sales productivity growth appears to have declined during the 1980s, and 2) the role of simultaneity bias is higher in the U.S. than in France, possibly reflecting the greater importance of liquidity constraints for R&D investment in that country.
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.
Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 5501.
Date of creation: Mar 1996
Date of revision:
Publication status: published as International Productivity Differences, Measurement and Explanations,van Ark, Bart and Karin Wagner, eds., Amsterdam: Elsevier Science, 1996.
Contact details of provider:
Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Web page: http://www.nber.org
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Griliches, Zvi & Hausman, Jerry A., 1986.
"Errors in variables in panel data,"
Journal of Econometrics, Elsevier,
Elsevier, vol. 31(1), pages 93-118, February.
- Z, Griliches & Jacques Mairesse, 1997.
"Production Functions : The Search for Identification,"
Working Papers, Centre de Recherche en Economie et Statistique
97-30, Centre de Recherche en Economie et Statistique.
- Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," Harvard Institute of Economic Research Working Papers 1719, Harvard - Institute of Economic Research.
- Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
- Keane, Michael P & Runkle, David E, 1992. "On the Estimation of Panel-Data Models with Serial Correlation When Instruments Are Not Strictly Exogenous," Journal of Business & Economic Statistics, American Statistical Association, American Statistical Association, vol. 10(1), pages 1-9, January.
- Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, Elsevier, in: Z. Grilichesâ€ & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318 Elsevier.
- Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988.
"Estimating Vector Autoregressions with Panel Data,"
Econometrica, Econometric Society,
Econometric Society, vol. 56(6), pages 1371-95, November.
- Tom Doan, . "RATS program to demonstrate IV estimation of VAR in panel data," Statistical Software Components RTZ00185, Boston College Department of Economics.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. 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: ().
If references are entirely missing, you can add them using this form.