We explore the implications of ownership concentration for the recently-concluded incentive auction that re-purposed spectrum from broadcast TV to mobile broadband usage in the U.S. We document significant multi-license ownership of TV stations. We show that in the reverse auction, in which TV...

We evaluate the welfare effects of differential pricing, voluntary licensing, and compulsory licensing in the Indian market for oral anti-diabetic (OAD) drugs. This market includes a new class of molecules called DPP-4 inhibitors, all of which are under patent protection in India. The Indian...

This annual survey by The Association of University Technology Managers is a summary of technology licensing and related performance information for United States and Canadian academic and non profit institutions, and patent management and investment firms. The management of intellectual...

I model knowledge (patent) licensing and evaluate intellectual property regulation in an endogenous growth framework where the engine of growth is in-house R&D performed by high-tech firms. I show that high-tech firms innovate more and economic growth is higher when there is knowledge licensing,...

P2P technologies enable dissemination of content in an efficient way, especially if compared to the traditional techiques of content transmission over the Internet (by means of server-client network protocols, such as FTP, HTTP, etc). However, such efficiency must face the limits imposed by the...

FRAND-encumbered SEP owners find themselves in a complex situation because fetters are put on their limited period freedom to exclude others from making, using, selling or offering to sell, and importing the claimed invention in the country of grant. In this paper we discuss some of the issues...

Government mandated technology transfers from the developer of a product to a second source offer a potential gain of reduced information rents and procurement costs, even when such transfers are otherwise inefficient. This paper models the tradeoff between information extraction and inefficient...