Publications

Cognitive technologies are socially shared and culturally evolved systems whose function is principally cognitive. Throughout human history and prehistory, they have aided in classifying, organizing, or managing information and knowledge,…

Innovative public firms sell significantly more patents in the last month of their fiscal year compared to earlier in the year. Consistent with reporting incentives driving these sales, final month patent sales are disproportionately internally…

A persistent puzzle throughout the cognitive and social sciences is how people manage to learn social conventions from the sparse and noisy behavioral data of diverse actors, without explicit instruction. Here, we show that the dominant theories…

Social networks utilize award recognition and front pages to motivate user content creation, facilitate consumer discovery of content, and provide attention and recognition to high-quality content. Past research shows that such attention and…

The rapid integration of artificial intelligence (AI) and machine learning (ML) into medical devices has underscored the need for transparency in regulatory reporting. In 2021, the U.S. Food and Drug Administration (FDA) issued Good Machine…

This 24-month inductive study examined the practices provided by a variety of supporters to six frontline-led innovation teams. Analyzing 86 interviews with 35 team members and 17 supporters, we propose a comprehensive, idealized framework of…

Existing evidence demonstrates that an organization’s diversity climate can enhance its bottom line. Though some scholars theorize potential mediators to explain these effects, recent meta-analytic and literature reviews conclude that much…

In 1986, Robert LaLonde published an article comparing nonexperimental estimates to experimental benchmarks (LaLonde 1986). He concluded that the nonexperimental methods at the time could not systematically replicate experimental benchmarks,…

To serve global users safely and productively, LLMs need culture-specific knowledge that might not be learned during pre-training. How do we find knowledge that is (1) salient to in-group users, but (2) unknown to LLMs? The most common solutions…

Student loans with income-contingent repayment insure borrowers against income risk but can reduce their incentives to earn more. Using a change in Australia’s income-contingent repayment schedule, I show that borrowers reduce their labor supply…

We analyze the risks associated with Japan’s prolonged low-interest rate policies amid a global environment of rising rates. To finance its persistent deficits, the Japanese public sector depends on inexpensive domestic funding to invest in risky…

Identifying the optimal set of individuals to first receive information (“seeds”) in a social network to maximize expected diffusion is a widely studied question in many settings. Several studies propose network-centrality-based heuristics to…

In this paper we nonparametrically analyze the effects of reallocating individuals across social groups in the presence of social spillovers.…

This article examines the evolution and challenges of model-based capital regulation in banking, discussing its impact on banking system resilience and financial stability. Introduced with Basel II, model-based regulation sought to link capital…

Modern recommender systems rely on black-box machine learning models to predict consumer choices. However, because these models do not explicitly represent the underlying data-generating process (DGP), they often struggle to generalize beyond…

We analyze how credit and interest rate risk affect US bank solvency, focusing on 2022’s tightening and commercial real estate (CRE) loans representing 25% of average bank assets. Extending Jiang et al. (2024), we show that runs can emerge with…

Online social networks have transformed the ways in which political mobilization messages are disseminated, raising new questions about how peer influence operates at scale. Building on the landmark 61-million-person Facebook experiment, we…

As increasingly capable agents are deployed, a central safety challenge is how to retain meaningful human control without modifying the underlying system. We study a minimal control interface in which an agent chooses whether to act autonomously…

Consumer choices are constrained in many markets due to either supply-side rationing or information frictions. Examples include matching markets for schools and colleges; entry-level labour markets; limited brand awareness and inattention in…

Problem definition: The ongoing large-scale deployment of autonomous vehicle (AV) technology has the potential to fundamentally change the transportation landscape. Due to the high cost of AV hardware, the most likely…