Working Paper: CEPR ID: DP4894
Authors: Michele Cincera
Abstract: 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, labour 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: clustering; panel data; productivity growth; R&D spillovers
JEL Codes: O12; O33; O47
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| R&D spillovers (O36) | productivity growth (O49) |
| external spillovers (D62) | productivity growth (O49) |
| local spillovers (F69) | productivity growth (O49) |
| R&D spillovers (O36) | external spillovers (D62) |
| R&D spillovers (O36) | local spillovers (F69) |
| technological opportunity (O33) | R&D spillovers (O36) |
| demand-pull factors (J23) | R&D spillovers (O36) |