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...

How malleable is alcohol consumption? Specifically, how much is alcohol consumption driven by the current environment versus individual characteristics? To answer this question, we analyze changes in alcohol purchases when consumers move from one state to another in the United States. We find...

Products with negative externalities are often subject to regulations that limit competition. The single-product case may suggest that it is irrelevant for aggregate welfare whether output is restricted via corrective taxes or limiting competition. However, when products are differentiated...

We provide a general framework for incorporating many types of micro data from summary statistics to full surveys of selected consumers into Berry, Levinsohn, and Pakes (1995)-style estimates of differentiated products demand systems. We extend best practices for BLP estimation in Conlon and...

The growing discussions of impact investing and stakeholder capitalism have increased interest in measuring companies' social impact. We conceptualize corporate social impact as the welfare loss that would be caused by a firm's exit. To illustrate, we quantify the social impacts of 74 firms in...

Using spatial and temporal variation in openings of fast food restaurants in Norway between 1980 and 2007, we study the effects of changes in the supply of high caloric nutrition on the health and cognitive ability of young adult males. Our results indicate that exposure to these establishments...

The global food system is an important contributor to greenhouse gas emissions that lead to climate change. Animal agriculture is responsible for a large share of the food-system emissions, both directly and through the production of animal feed. Limiting global warming to the goals set forth by...

This paper presents a framework for how to incorporate prior sources of information into the design of a sequential experiment. These sources can include previous experiments, expert opinions, or the experimenter's own introspection. We formalize this problem using a multi-prior Bayesian...

Formal analysis plans limit false discoveries by registering and multiplicity adjusting statistical tests. As each registered test reduces power on other tests, researchers prune hypotheses based on prior knowledge, often by combining related indicators into evenly-weighted indices. We propose...

How should researchers design panel data experiments? We analytically derive the variance of panel estimators, informing power calculations in panel data settings. We generalize Frison and Pocock (1992) to fully arbitrary error structures, thereby extending McKenzie (2012) to allow for...