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Paper #1379

Title:
Endogeneous matching in university-industry collaboration: Theory and empirical evidence from the UK
Authors:
Albert Banal-Estañol, Inés Macho-Stadler and David Pérez-Castrillo
Date:
July 2013
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.
Keywords:
matching, industry-science links, research collaborations, basic versus applied research, complementarity
JEL codes:
O32, I23
Area of Research:
Business Economics and Industrial Organization / Finance and Accounting / Operations Management

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