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Communication Dans Un Congrès Année : 2019

Nonparametric estimation of R&D international spillovers

Résumé

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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Dates et versions

hal-02789474 , version 1 (05-06-2020)

Identifiants

  • HAL Id : hal-02789474 , version 1
  • PRODINRA : 481705

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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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