32 Pages Posted: 27 May 2005
Date Written: February 2005
This paper aims at assessing the impact of R&D spillovers on firms' economic performance as measured by productivity growth. The construction of R&D spillovers is based on Jaffe's methodology (1986, 1988), which associates econometrics and data analysis. The main objective of the paper is to extend Jaffe's methodology by examining alternative methods for measuring R&D spillovers and to test their impacts in terms of the robustness of results. In particular, the method used to classify firms into technological clusters as well as the metrics implemented to appreciate firms' technological proximities which enter the construction of spillovers are further investigated. In addition to R&D spillovers, firms' own R&D capital, labor and physical capital are estimated by means of a Cobb-Douglas production function. The data set consists of a representative sample of 625 worldwide R&D-intensive firms over the period 1987-1994.
Keywords: R&D Spillovers, productivity growth, panel data, clustering
JEL Classification: O12, O33, O47
Suggested Citation: Suggested Citation
Cincera, Michele, Firms' Productivity Growth and R&D Spillovers: An Analysis of Alternative Technological Proximity Measures (February 2005). CEPR Discussion Paper No. 4894. Available at SSRN: https://ssrn.com/abstract=730584
This is a CEPR Discussion Paper. CEPR charges a fee of $5.00 for this paper.Login using your CEPR Personal Profile
File name: SSRN-id730584.
If you wish to purchase the right to make copies of this paper for distribution to others, please select the quantity.