New generative artificial intelligence (AI) models, including large language models and image generators, have created new challenges for copyright policy as such models may be trained on data that includes copy-protected content. This paper examines this issue from an economics perspective and...

There has been increasing attention to privacy in the media and in regulatory discussions. This is a consequence of the increased usefulness of digital data. The literature has emphasized the benefits and costs of digital data flows to consumers and firms. The benefits arise in the form of...

Financial ties between drug companies and medical researchers are thought to bias studies published in medical journals. To enable readers to account for such bias, most medical journals require authors to disclose potential conflicts of interest. We examine whether disclosure reduces article...

This chapter explores the interaction between the enforcement of and compliance with difficult-to-enforce rules in the context of data regulation. We focus on the effect of the introduction of the GDPR and its transparency principle on the readability of privacy policies for a large sample of...

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...

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...

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...