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Endogenous Matching in University-Industry Collaboration: Theory and Empirical Evidence from the UK

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  • Albert Banal-Estañol
  • Inés Macho-Stadler
  • David Pérez-Castrillo

Abstract

We develop a two-sided matching model to analyze collaboration between heterogeneous academics and firms. We predict a positive assortative matching in terms of both scientific ability and affinity for type of research, but negative assortative in terms of ability on one side and affinity in the other. In addition, the most able and most applied academics and the most able and most basic firms shall collaborate rather than stay independent. Our predictions receive strong support from the analysis of the teams of academics and firms that propose research projects to the UK’s Engineering and Physical Sciences Research Council.

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Bibliographic Info

Paper provided by Barcelona Graduate School of Economics in its series Working Papers with number 704.

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Date of creation: Jul 2013
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Handle: RePEc:bge:wpaper:704

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Keywords: matching; industry-science links; research collaborations; basic versus applied research; complementarity;

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References

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  1. Albert Banal-Estañol & Inés Macho-Stadler & David Pérez-Castrillo, 2011. "Research output from university-industry collaborative projects," Working Papers 2011/23, Institut d'Economia de Barcelona (IEB).
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Cited by:
  1. Albert Banal-Estañol & Mireia Jofre-Bonet & Cornelia Lawson, 2013. "The Double-Edge Sword of Industry Collaboration: Evidence from Engineering Academics in the UK," Working Papers 491, Barcelona Graduate School of Economics.

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