scholarly journals Empirical Patterns of Firm Growth and R&D Investment: A Quality Ladder Model Interpretation

10.3386/w5945 ◽  
1997 ◽  
Author(s):  
Tor Jakob Klette ◽  
Zvi Griliches
2018 ◽  
Vol 37 (75) ◽  
pp. 779-808 ◽  
Author(s):  
Alex Coad ◽  
Dominik Janzing ◽  
Paul Nightingale

This paper presents a new statistical toolkit by applying three techniques for data-driven causal inference from the machine learning community that are little-known among economists and innovation scholars: a conditional independence-based approach, additive noise models, and non-algorithmic inference by hand. We include three applications to CIS data to investigate public funding schemes for R&D investment, information sources for innovation, and innovation expenditures and firm growth. Preliminary results provide causal interpretations of some previously-observed correlations. Our statistical 'toolkit' could be a useful complement to existing techniques.


2008 ◽  
Vol 38 (4) ◽  
pp. 849-871
Author(s):  
Eduardo Correia de Souza

Here we perform the same kind of "integration experiments" as in Rivera-Batiz and Romer (1991), this time in the context of a "quality ladder model", where international trade integration is not enough to prevent redundancy of R&D efforts. Thus a further kind of integration is analysed: "financial market integration". We adopt as a setup the Simple Schumpeterian Model in Aghion and Howitt (2005), whose innovation technology differs sharply from the ones conceived by Rivera-Batiz and Romer in that it displays decreasing returns to scale.


2018 ◽  
Vol 64 (7) ◽  
pp. 3187-3207 ◽  
Author(s):  
Linli Xu ◽  
Jorge M. Silva-Risso ◽  
Kenneth C. Wilbur

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