Publications

A large literature in labor economics seeks to decompose observed gender wage gaps (GWGs) into different sources, including portions explained by cross-gender differences in education, occupation, and experience. This paper provides new methods…

[Preparing for third round review at The Accounting Review.]

We examine the economic implications of digital traffic. 

Team-based primary care has been shown to be an important initiative for transforming primary care to achieve whole-person care, enhance health equity, and reduce provider burnout. Organizational approaches have been explored to better implement…

Errors in clinical decision-making are disturbingly common. Recent studies have found that 10 to 15% of all clinical decisions regarding diagnoses and treatment are inaccurate. Here, we experimentally study the ability of structured information–…

We measure how a network of heroes can legitimize and diffuse extreme political behaviors. We exploit newly-declassified intelligence files, novel voting data and regimental histories to show that home municipalities of French line regiments…

We investigated the effects of Facebook’s and Instagram’s feed algorithms during the 2020 US election. We assigned a sample of consenting users to reverse-chronologically-ordered feeds instead of the default algorithms. Moving users out of…

Background

Engaging frontline clinicians and staff in quality improvement is a promising bottom-up approach to transforming primary care practices. This may be especially true in federally qualified health centers (FQHCs) and similar…

We propose a model of political competition not over policy programs, but over ideologies: models of the world that organize voters’ experiences and guide the inferences they draw from observed outcomes. Policy-motivated political parties develop…

Problem definition: We study how online platforms can leverage the behavioral considerations of their users to improve their assortment decisions. Motivated by our collaboration with a dating company, we study how a platform…

Many critics raise concerns about the prevalence of ‘echo chambers’ on social media and their potential role in increasing political polarization. However, the lack of available data and the challenges of conducting large-scale field experiments…

We develop a model of a manager’s equilibrium voluntary disclosure policy to study how that policy changes depending on whether the manager is prohibited from disclosing, or allowed to disclose, a half-truth; we also examine how the disclosure…

This paper studies the optimal design of corporate taxes when firms have private information about future investment opportunities and face financial constraints. A government whose goal is to efficiently raise a given amount of revenue from its…

We provide causal evidence on the value of asset pledgeability by exploiting a unique feature of Chinese corporate bond markets: bonds with identical fundamentals are traded on two segmented markets with different rules for repo transactions.…

What environmental factors are associated with individual differences in political ideology, and do such associations change over time? We examine whether reductions in pathogen prevalence in U.S. states over the past 60 years are associated with…

Although consumers often have multiple payment methods at their fingertips, such as cash and credit/debit cards, prior research is silent on how consumers choose between them. We home in on a key element of purchase — purchase justifiability —…

We studied the effects of exposure to reshared content on Facebook during the 2020 U.S. election by assigning a random set of consenting, U.S.-based users to feeds that did not contain any reshares over a 3-month period. We find that removing…

Most U.S. government spending on highways and bridges is done through “scaling” procurement auctions, in which private construction firms submit unit price bids for each piece of material required to complete a project. Using data on bridge…

We develop new semiparametric methods for estimating treatment effects. We focus on a setting where the outcome distributions may be thick tailed, where treatment effects are small, where sample sizes are large and where assignment is completely…

In this note, we introduce a general version of the well-known elliptical potential lemma that is a widely used technique in the analysis of algorithms in sequential learning and decision-making problems. We consider a…

As news reports describing Artificial Intelligence (AI) proliferate, will people’s perceptions of human nature change such that they rate distinctively human attributes as more essential? Five studies (N = 5111) demonstrate this “AI…