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 innovation contests with asymmetric information and identical contestants, where contestants' efforts and innate abilities generate inventions of varying qualities. The designer offers a reward to the contestant achieving the highest quality and receives the revenue generated by the...