This paper uses an aggregative games framework to predict consumer welfare when market structure is endogenously determined. Our main results characterize mergers whose synergies reduce consumer welfare by inducing rivals to exit. The conditions under which such mergers arise are broad,...

We document the effects of a comprehensive set of US retail mergers. On average, prices increase by 1.5% and quantities decrease by 2.3%, with significant heterogeneity in outcomes across mergers. Price changes correlate with the screens codified in the Horizontal Merger Guidelines. Through a...

We hand-collect and standardize information describing all 3,055 antitrust lawsuits brought by the Department of Justice (DOJ) between 1971 and 2018. Using restricted establishment-level microdata from the U.S. Census, we compare the economic outcomes of a non-tradable industry in states...

Antitrust enforcement in the United States has declined since the 1960s. Building on several new datasets, we argue that this decline did not reflect a popular demand for weaker enforcement or any other kind of democratic sanction. The decline was engineered by unelected regulators and judges...

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...