IP2 January 2017 conferenceAll seven papers presented at the conference organized by the Hoover Institution Working Group on Intellectual Property, Innovation, and Prosperity (Hoover IP²) have been posted as working papers on the Hoover IP2 web page. The conference, “The Law and Economics of Patent Systems,” took place during January 12–13, 2017, at Stanford’s Hoover Institution.

Hoover IP2 director Stephen Haber said, “The purpose of the Hoover IP2 conferences is to provide researchers with a forum at which they can present work in progress to other researchers, industry experts, and practitioners, not only in their own specialized fields but in related disciplines as well.”

At the conference, presentations examined the degree to which patent thickets, royalty stacking, nonpracticing entities (NPEs, often referred to as patent trolls), injunctions, and government administrative units affect firm entry, product prices, bargaining, and innovation. Results and conclusions varied, but, generally, the effects were felt to be less severe than often reported in the popular press—trolls, thickets, royalty stacking, and the like are not substantive impediments to innovation and competition among firms.

The presentation slide decks from the presenters and their paper discussants are also available at the conference web site.

The conference is the seventh in a series of semiannual conferences organized by Hoover IP2. The conferences feature presentations of leading academic research addressing intellectual property rights, particularly how intellectual property rights affect innovation. Papers presented at the Hoover IP2 conferences emphasize reason, data, and evidence over rhetoric and ideology.

Hoover IP2 is a working group organized at the Hoover Institution, Stanford University. It has developed a network of scholars (economists, legal experts, political scientists, and public policy experts), representatives from industry, and attorneys who examine intellectual property rights protection with an eye toward data and reasoned analytics.