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Nonparametric estimation of international R&D spillovers

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  • Antonio Musolesi
  • Michel Simioni
  • Georgios Gioldasis

Abstract

In a recent paper, Ertur and Musolesi (Journal of Applied Econometrics 2017; 32: 477-503)employ the Common Correlated Effects(CCE)approach to address the issue of strong cross-sectional dependence while studying international technology diffusion.We carefully revisit this issue by adopting Su and Jin's (Journal of Econometrics 2012; 169: 34-47) method, which extends the CCE approach to nonparametric specications.Our results indicate that the adoption of a nonparametric approach provides signicant benefits in terms of predictive ability.This work also refines previous results by showing threshold effects, nonlinearities and interactions, which are obscured in parametric specications and which have relevant policy implications.

Suggested Citation

  • Antonio Musolesi & Michel Simioni & Georgios Gioldasis, 2018. "Nonparametric estimation of international R&D spillovers," Working Papers 2018037, University of Ferrara, Department of Economics.
    • Handle: RePEc:udf:wpaper:2018037
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    References listed on IDEAS

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