This paper sets out an empirically-driven approach for targeting environmental policies optimally in order to combat deforestation. We focus on the Amazon, the world's most extensive rainforest, where Brazil's federal government issued a 'Priority List' of municipalities in 2008, to be targeted...

This paper proposes a new methodology for estimating teacher value-added. Rather than imposing a normality assumption on unobserved teacher quality (as in the standard empirical Bayes approach), our nonparametric estimator permits the underlying distribution to be estimated directly and in a...

This paper develops the first quantitative framework for analyzing distributional effects of incentive schemes in public education. The analysis is built around a hump-shaped effort function, estimated semi-parametrically using exogenous incentive variation and rich administrative data. We...

Should the buyer of a customized good use competitive bidding or negotiation to select a contractor? To shed light on this question, we offer a framework that compares auctions with negotiations. We then examine a comprehensive data set of private sector building contracts awarded in Northern...

Markets with asymmetric information will often employ third-party certification labels to distinguish between higher and lower quality transactions, yet little is known about the effects of certification policies on the evolution of markets. How does the stringency in quality certification...

We study the effect of price salience on whether a product is purchased and, conditional on purchase, the quality purchased. Consistent with our theoretical predictions, we find that making the full purchase price salient to consumers reduces both the quality and quantity of goods purchased. The...

Bargaining breakdown--whether as delay, conflict, or missing trade--plagues bargaining in environments with incomplete information. Can a bargaining environment that facilitates or restricts communication alleviate these costs? We exploit a unique opportunity to study this question using real...

We report a large-scale randomized controlled trial designed to assess whether the partisan cue of a provaccine message from Donald Trump would induce Americans to get COVID-19 vaccines. Our study involved presenting a 27-second advertisement to millions of U.S. YouTube users in October 2021....

Digital advertising, which uses consumer data to target ads to users, now accounts for most of global ad expenditures. Privacy concerns have prompted regulations that restrict the use of personal data. To inform these policy debates, we develop an equilibrium model of advertising and market...

Why do establishments exhibit wide variation in their productivity and profitability? Can variation in returns to advertising help answer this question? We present results from a large field experiment on Facebook and Instagram that documents variance in advertisers' ability to generate returns...