We explore how firms respond to downstream product shocks. We find that affected firms increase R&D and make additional safety-related investments in their existing assets-in-place. These investments vary with firm capabilities and across shock severity. Competitors appear to vicariously learn...

Electrification is a centerpiece of global decarbonization efforts. Yet there are reasons to be skeptical of the inevitability, or at least the optimal pace, of the transition. We discuss several under-appreciated costs of full, or even deep, electrification. Consumer preferences can operate in...

We apply a Regression Discontinuity based approach to screen for collusion developed in Kawai et al. (2022) to public procurement data from five countries. We find that bidders who win by a very small margin have significantly lower backlog than those who lose by a very small margin in the...

We examine the effect of enforcing minimum quality standards (MQSs) on consumer health. In the late 1800s, the urban milk supply was regularly skimmed and diluted with water, but consumers could not easily determine its quality because dyes, caramel, and salt were added. To protect consumers,...

We examine the relationship between product liability litigation and innovation by systematically combining data on product liability lawsuits with data on new product introductions in a panel dataset of leading medical device firms. We first document a decline in the propensity to introduce new...

The U.S. regulation of high-voltage transmission is highly complex and, as a result, generally poorly understood. The complexity is created by separate, but overlapping, jurisdictional authorities of the U.S. federal regulators and those of individual states, districts, and territories. While...

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...

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...