In agreements settling patent challenges in the drug industry, the plaintiff brand commonly licenses the defendant generic to sell prior to patent expiry. Some agreements require the generic to pay the brand royalties. Despite the superficial flow of profits, royalty terms may function as part...

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 study the effectiveness of firms' compliance programs by conducting a field experiment in which we disclose to a subset of Japanese firms that the firm is potentially engaging in illegal bid-rigging. We find that the information that we disclose affects the bidding behavior of the treated...

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 study the extent to which collusion can explain the under-provision of clean sanitation technologies in developing countries. Using desludging services in Dakar as a case-study, we document that prices are 66% higher in areas where prices are likely coordinated by a large trade association,...

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 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 model platform competition with endogenous data generation, collection, and sharing, thereby providing a unifying framework to evaluate data-related regulation and antitrust policies. Data are jointly produced from users' economic activities and platforms' investments in data infrastructure....

Industries with significant scale economies or learning-by-doing may come to be dominated by a single firm. Economists have studied how likely this is to happen, and whether it is efficient, using models where buyers are price or quantity takers, even though these industries are often also...

This paper uses a large language model to develop an ex-ante measure of the commercial potential of scientific findings. In addition to validating the measure against the typical holdout sample, we validate it externally against 1.) the progression of scientific findings through a major...