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...

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...

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...

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...

We study collaborative and non-collaborative projects that are supported by government grants. First, we propose a theoretical framework to analyze optimal decisions in these projects. Second, we test our hypotheses with a unique dataset containing academic publications and research funds for...