Publications

The emergence of COVID-19 dramatically changed social behavior across societies and contexts. Here we study whether social norms also changed. Specifically, we study this question for cultural tightness (the degree to which societies generally…

Why are some acts of cultural boundary-crossing considered permissible whereas others are repudiated as cultural appropriation? We argue that perceptions of cultural appropriation formed in response to the emergence of cultural omnivorousness as…

Using debit and credit card data, we find a one standard-deviation increase in firms’ earnings surprise is linked to a 3% or $5.6 billion increase in aggregate quarterly consumption of local households near the disclosing firms’ headquarters. The…

Innovative public firms sell 9.6% (615) more patents in the last month, relative to the first half of the fiscal year. Consistent with reporting incentives driving these sales, they are more pronounced among firms with strong incentives to meet…

Gossip, the exchange of personal information about absent third parties, is ubiquitous in human societies. However, the evolution of gossip remains a puzzle. The current article proposes an evolutionary cycle of gossip and uses an agent-based…

We study how investment fees vary within private equity funds. Net-of-fee return clustering suggests that most funds have two tiers of fees, and we decompose differences across tiers into both management- and performance-based fees. Managers of…

Each year, people spend less time reading and more time viewing images, which are proliferating online. Images from platforms such as Google and Wikipedia are downloaded by millions every day, and millions more are interacting through social…

Existing theories of media competition imply that advertisers will pay a lower price in equilibrium to reach consumers who multi-home across competing outlets. We generalize and extend this theoretical result and test it using data from…

Modern websites rely on personal data to measure and improve their performance and to market to consumers. The European Union’s General Data Protection Regulation (GDPR) limited access to such personal data, with the goal of protecting consumer…

The traditional model of bank-led financial intermediation, where banks issue demandable deposits to savers and make informationally sensitive loans to borrowers, has seen a dramatic decline since 1970s. Instead, private credit is increasingly…

We examine how price discounts — a classic marketing incentive — drive children’s healthy choices in the understudied context of a developing economy. We partnered with UNICEF to launch three field experiments in Panamá among 2,418 children to…

Previous research in western countries shows that artists whose work deviates from their own previous style (intrapersonal deviance) and other artists’ styles (interpersonal deviance) gain greater impact than nondeviant artists (Stamkou et al…

Background

Increased safety reports related to interprofessional teamwork on an acute care unit at a quaternary children…

Employee Occupational Health (‘occupational health’) clinicians have expansive perspectives of the experience of healthcare personnel. Integrating mental health into the purview of occupational health is a newer approach that could combat…

Background 

Whereas organizational literature has provided much insight into the conceptual and theoretical underpinnings of organizational leadership and management during emergencies, measures to operationalize related effective…

Objectives The 2021 US Cures Act may engage patients to help reduce diagnostic errors/delays. We examined the relationship between patient portal registration with/without note reading and test/referral completion in primary care…

We introduce safe asset demand for dollar-denominated bonds into a tractable incomplete market model of exchange rates. The convenience yield on dollar bonds enters as a stochastic wedge in the Euler equations for exchange rate determination.…

Labor economists regularly analyze employment data by fitting predictive models to small, carefully constructed longitudinal survey datasets. Although machine learning methods offer promise for such problems, these survey datasets are too small…

We evaluate a contest-based intervention intended to increase the usage of an educational app that helps children in India learn to read English. The evaluation included approximately 10,000 children, of whom about half were randomly selected to…