Publications

Qini curves have emerged as an attractive and popular approach for evaluating the benefit of data-driven targeting rules for treatment allocation. We propose a generalization of the Qini curve to multiple costly treatment arms that quantifies the…

We consider the problem of using observational bandit feedback data from multiple heterogeneous data sources to learn a personalized decision policy that robustly generalizes across diverse target settings. To achieve this, we propose a minimax…

Online marketplaces have adopted new quality control mechanisms that can accommodate a flexible pool of providers. In the context of ride-hailing, we measure the effectiveness of these mechanisms, which include ratings, incentives, and behavioral…

We discuss why analogical reasoning is widely used in strategy formulation, implementation and evaluation despite its assessment by many logicians as a weak form of logical argumentation. Given this popularity, we consider how analogies might be…

We examine whether integrated report quality, IRQ, is negatively associated with stock price synchronicity, an inverse measure of firm-specific information, and the extent to which the relation between IRQ and synchronicity is attenuated by…

This paper presents a new approach to modeling transitional dynamics in dynamic models of imperfect competition, a crucial yet often neglected aspect of empirical models in industrial organization that seek to understand market responses to…

Big Data is everywhere. Globally, billions of people use online platforms and digital devices to communicate, socialize, study, shop, and work. In the process, they generate a vast trove of digital footprints, documenting their thoughts, feelings…

Since the 19th century, political reformers have proposed broadening civic and corporate governance by allowing voters to delegate to any other voter — sometimes known as liquid democracy. Today, systems like liquid democracy have become an…

We study gender and race in high-impact entrepreneurship using a tightly controlled randomized field experiment. We sent out 80,000 pitch emails introducing promising but fictitious start-ups to 28,000 venture capitalists and angels. Each email…

We identify exposure to political risk by exploiting a unique variation around land lease extension protection after 2047 in Hong Kong’s housing market due to historical arrangements under the “One Country, Two Systems” design. Relative to…

Objectives: To investigate whether health insurance generated improvements in cardiovascular risk factors (blood pressure and hemoglobin A(1c) (HbA(1c)) levels) for identifiable subpopulations, and using machine learning to…

This paper studies the transmission of a county’s historical exposure to the U.S.frontier into its consumers’ present-day preferences for firearm ownership and regulation. Counties with an additional decade on the frontier between 1790–1890 have…

Can training police officers on how to best interact with the public actually improve their interactions with community members? This has been a challenging question to answer. Interpersonal aspects of policing are consequential but largely…

We study the role of risk preferences and frictions in portfolio choice using variation in 401(k) default options. Patterns of active choice in response to different default funds imply that, absent participation frictions, 94% of investors…

Despite recent backlash against and cuts to organizational DEI initiatives, researchers from the Stanford VMware Women’s Leadership Innovation Lab argue that DEI isn’t dead in the U.S. Instead, they say it’s experiencing a period of what social…

OBJECTIVES

Examine family safety-reporting after implementing a parent–nurse–physician–leader coproduced, health literacy-informed, family safety-reporting intervention for hospitalized families of children with medical complexity.

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For an incompatible patient-donor pair, kidney exchanges often forbid receipt-before-donation (the patient receives a kidney before the donor donates) and donation-before-receipt, causing a double-coincidence-of-wants problem. Our proposed…

Introduction: This research investigates what might motivate tech companies and impact-driven investors to adopt a health-promoting strategy in their product development and capital allocation strategies.

Methods…

Randomized experiments are a powerful methodology for data-driven evaluation of decisions or interventions. Yet, their validity may be undermined by network interference. This occurs when the treatment of one unit impacts not only its outcome but…

In this survey we discuss the recent causal panel data literature. This recent literature has focused on credibly estimating causal effects of binary interventions in settings with longitudinal data, emphasising practical advice for empirical…