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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- Windmeijer, Frank, 2000. "Moment conditions for fixed effects count data models with endogenous regressors," Economics Letters, Elsevier, vol. 68(1), pages 21-24, July.
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"Individual effects and dynamics in count data models,"
IFS Working Papers
W99/03, Institute for Fiscal Studies.
- 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.
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