We study equilibrium in a multistage race in which players compete in a sequence of simultaneous move component contests. Players may win a prize for winning each component contest, as well as a prize for winning the overall race. Each component contest is an all-pay auction with complete...

This paper revisits the standard analysis of licensing a cost reducing innovation by an outside innovator to a Cournot oligopoly. We propose a new mechanism that combines elements of a license auction with royalty licensing by granting the losers of the auction the option to sign a royalty...

Where product innovation requires several complementary patents, fragmented property rights can be a factor that limits firms’ willingness to invest in the development and commercialization of new products. This paper studies multiple simultaneous R&D contests for complementary patents...

This paper investigates how patent applications and grants held by new ventures improve their ability to attract venture capital (VC) financing. We argue that investors are faced with considerable uncertainty and therefore rely on patents as signals when trying to assess the prospects of...

We consider a licensing mechanism for process innovations that combines a license auction with royalty contracts to those who lose the auction. Firms’ bids are dual signals of their cost reductions: the winning bid signals the own cost reduction to rival oligopolists, whereas the losing...

This paper reconsiders the licensing of a common value innovation to a downstream duopoly, assuming a dual licensing scheme that combines a first-price license auction with royalty contracts for losers. Prior to bidding firms observe imperfect signals of the expected cost reduction; after the...

This paper revisits the licensing of a non–drastic process innovation by an outside innovator to a Cournot oligopoly. We propose a new mechanism that combines a restrictive license auction with royalty licensing. This mechanism is more profitable than standard license auctions, auctioning...