Econometric modelling of the regional knowledge production function in Europe
By Sylvie Charlot, R. Crescenzi, Antonio Musolesi. 2015
117 citations recorded by the source corpus.
By adopting a semiparametric approach, the ‘traditional’ regional knowledge production function is developed in three complementary directions. First, the model is augmented with region-specific time trends to account for endogeneity due to selection on unobservables. Second, the nonparametric part of the model relaxes the standard assumptions of linearity and additivity regarding the effect of R&D and human capital. Finally, the assumption of homogeneity in the effects of R&D and human capital is also relaxed by explicitly accounting for the differences between developed and lagging regions. The analysis of the genesis of innovation in the regions of the European Union unveils nonlinearities, threshold effects, complex interactions and shadow effects that cannot be uncovered by standard parametric formulations.
Subfields: Economics and Econometrics, Political Science and International Relations
View Paper: https://www.semanticscholar.org/paper/539585ada0490655845e281b443f216bcd9b727a
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In Economics and Econometrics
- S. Iammarino
- R. Crescenzi
- L. Gagliardi
- Ron A. Boschma
- A. Rodríguez‐Pose
- Elvira Uyarra
- M. Storper
- Antonio Musolesi
In Political Science and International Relations
Citations in the corpus
- Foreign multinationals and domestic innovation: Intra-industry effects and firm heterogeneity (2015, background): “The estimated equation is specified as a firm-level Knowledge Production Function (KPF) (Griliches, 1979; Jaffe, 1986; and Charlot et al., 2014 for a critical review), augmented by the regressor of interest, and it takes the following form: (1) 8 Note that the CIS has in principle a panel…”