Drawing insights from the field of innovation economics, we discuss the likely competitive environment shaping generative AI advances. Central to our analysis are the concepts of appropriability--whether firms in the industry are able to control the knowledge generated by their innovations--and...

Open source is key to innovation, but we know little about how to incentivize it. In this paper, we examine the impact of a program providing monetary incentives to motivate innovators to contribute to open source. The Sponsors program was introduced by GitHub in May 2019 and enabled...

This paper presents a new method for estimating discrete games based on bounds of conditional choice probabilities. The method does not require solving the game and is scalable to models with many firms and many discrete decisions. We apply the method to study merger effects on firm entry and...

We examine whether the introduction of a patent commons, a special type of royalty free patent pool available to the open source software (OSS) community influences new OSS product entry by start-up software firms. In particular, we analyze the impact of The Commons--established by the Open...

This paper examines intellectual property litigation as a method of protection from patent-infringing imports. Claims against patent-infringing imports entering the United States may be filed before the International Trade Commission (ITC) or in district court. The ITC applies injunctions...

The COVID-19 pandemic initiated a trend in "work-from-home (WFH)," but workers need reliable and fast internet connections (e.g., broadband) to work from home. Yet, as of January 2020, 18 states had legally restricted local governments and cooperatives from building their own broadband...

We provide an in-depth study of short-term rental (STR) regulation in Chicago. While many municipalities choose between outright bans or laissez-faire strategies concerning STR activities, Chicago pioneered a middle-ground ordinance, enabling the market to exist with limitations and...

Blockchain-based smart contracts can potentially replace certain traditional contracts through decentralized enforcement and reduced transaction costs. However, scalability is a key bottleneck hindering their broader application and adoption, often leading to concentrated or exclusive networks....

When a user shares multi-dimensional data about themselves with a firm, the firm learns about the correlations of different dimensions of user data. We incorporate this type of learning into a model of a data market in which a firm acquires data from users with privacy concerns. User data is...

Combining comprehensive data from the Norwegian media market on newspaper circulation, readership, revenues, factor inputs, and product characteristics with plausibly exogenous variation in the availability and adoption of broadband internet, this paper provides causal evidence on how the...