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Nonparametric estimation of R&D international spillovers

Abstract : We revisit the issue of international technology diffusion within the framework of large panels with strong cross-sectional dependence by adopting a method which extends the Common Correlated Effects (CCE) approach to nonparametric specifications. Our results indicate that the adoption of a nonparametric approach provides significant benefits in terms of predictive ability. This work also refines previous results by showing threshold effects, nonlinearities and interactions, which are obscured in parametric specifications and which have relevant policy implications.
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2019_Simioni_VEAM 2019_Nonpara...
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  • HAL Id : hal-02789474, version 1
  • PRODINRA : 481705


Georgios Gioldasis, Antonio Musolesi, Michel Simioni. Nonparametric estimation of R&D international spillovers. 12. Vietnam Economist Annual Meeting (VEAM 2019), Jun 2019, Dalat, Vietnam. 15 p. ⟨hal-02789474⟩



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