A revisit to the relationship between patents and R&D using empirical likelihood estimation
In this paper we reexamine the relationship between patents and R&D using empirical likelihood estimation. Based on the data of Hall, Griliches, and Hausman (1986) and the specification allowing for endogenous regressors, we found that the contemporaneous effect of R&D is significantly positive, yet the first-lag effect is significantly negative. Moreover, the total effect of R&D is much larger than those found in the early studies.
Volume (Year): 32 (2012)
Issue (Month): 2 ()
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- Blundell, Richard & Griffith, Rachel & Windmeijer, Frank, 2002.
"Individual effects and dynamics in count data models,"
Journal of Econometrics,
Elsevier, vol. 108(1), pages 113-131, May.
- Richard Blundell & Rachel Griffith & Frank Windmeijer, 1999. "Individual effects and dynamics in count data models," IFS Working Papers W99/03, Institute for Fiscal Studies.
- Hall, Bronwyn H. & Mairesse, Jacques, 1995. "Exploring the relationship between R&D and productivity in French manufacturing firms," Journal of Econometrics, Elsevier, vol. 65(1), pages 263-293, January.
- Bronwyn H. Hall & Jacques Mairesse, 1992. "Exploring the Relationship Between R&D and Productivity in French Manufacturing Firms," NBER Working Papers 3956, National Bureau of Economic Research, Inc.
- Wooldridge, Jeffrey M., 1997. "Multiplicative Panel Data Models Without the Strict Exogeneity Assumption," Econometric Theory, Cambridge University Press, vol. 13(05), pages 667-678, October.
- Windmeijer, Frank, 2000. "Moment conditions for fixed effects count data models with endogenous regressors," Economics Letters, Elsevier, vol. 68(1), pages 21-24, July. Full references (including those not matched with items on IDEAS)
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