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Unpaired Kidney Exchange: Overcoming Double Coincidence of Wants without Money
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…
Can Technology Be Good for Health? Investigating Health-Promoting Strategies in the Private Sector
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…
Causal Message-Passing for Experiments with Unknown and General Network Interference
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…
Causal Models for Longitudinal and Panel Data: A Survey
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…
A Comparative Analysis of International Drug Price Negotiation Frameworks: An Interview Study of Key Stakeholders
Policy Points
- Health care systems around the world rely on a range of methods to ensure the affordability of prescription drugs, including negotiating prices soon after drug approval and relying on formal clinical assessments that…
Drift Control of High-Dimensional Reflected Brownian Motion: A Computational Method Based on Neural Networks
Motivated by applications in queueing theory, we consider a stochastic control problem whose state space is the d-dimensional positive orthant. The controlled process Z evolves as a reflected Brownian motion whose covariance…
Estimating Wage Disparities Using Foundation Models
One thread of empirical work in social science focuses on decomposing group differences in outcomes into unexplained components and components explained by observable factors. In this paper, we study gender wage decompositions, which require…
Interest Rate Risk in Banking
We develop a theoretical and empirical framework to estimate bank franchise value. In contrast to regulatory guidance and some existing models, we show that sticky deposits combined with low deposit rate betas do not imply a negative duration for…
Internalizing Peer Firm Product Market Concerns: Supply Chain Relations and M&A Activity
We explore whether firms internalize the product market concerns of their economically linked peers by examining merger and acquisition decisions in the context of customer–supplier relations. Given the extensive transfer of capital, knowledge,…
Media Consolidation
Recent decades have seen major changes to the local media environment in the United States, with the absorption of many formerly independent local TV stations into conglomerates. Using a comprehensive dataset of acquisitions, we examine the…
Monetary Tightening and U.S. Bank Fragility in 2023: Mark-to-Market Losses and Uninsured Depositor Runs?
We analyze U.S. banks’ asset exposure to a recent rise in the interest rates with implications for financial stability. The U.S. banking system’s market value of assets is $2.2 trillion lower than suggested by their book value of assets…
Organizational Culture Archetypes and Firm Performance
Much of the research on organizational culture has been driven by the assumption that culture is associated with organizational performance. Surprisingly, the evidence for this linkage is ambiguous for two understandable reasons. First, there has…
Parallel Experimentation and Competitive Interference on Online Advertising Platforms
This paper studies the measurement of advertising effects on online platforms when parallel experimentation occurs, that is, when multiple advertisers experiment concurrently. It provides a framework that makes precise how parallel…
People Who Share Encounters with Racism Are Silenced Online by Humans and Machines, but a Guideline-Reframing Intervention Holds Promise
Are members of marginalized communities silenced on social media when they share personal experiences of racism? Here, we investigate the role of algorithms, humans, and platform guidelines in suppressing disclosures of racial discrimination. In…
Predicting Expert Evaluations in Software Code Reviews
Manual code reviews are an essential but time-consuming part of software development, often leading reviewers to prioritize technical issues while skipping valuable assessments. This paper presents an algorithmic model that automates aspects of…
Psychology of Personal Political Engagement in Russia: Unpacking Perceived Community Culture, Pluralistic Ignorance, and System Justification
This study explores the relationship between Russian citizens’ self-reported political engagement and their system justification beliefs, perceptions of the system justification beliefs of other citizens, and perceptions of their community…
Saving Millions in Government Procurement Through Data Science and Market Design
[Winner of the 2024 Informs Revenue Management and Pricing Section Practice Award; Finalist of the 2025 MSOM Society Award for Responsible Research in Operations Management]
Framework agreements (FAs) are procurement mechanisms used in…
Service Quality in the Gig Economy: Empirical Evidence about Driving Quality at Uber
The rise of marketplaces for goods and services has led to changes in the mechanisms used to ensure high quality. We analyze this phenomenon in the Uber market, where the system of pre-screening that prevailed in the taxi industry has been…
The Perils of Isolationism: The World Still Needs America — and America Still Needs the World
This article examines the current global landscape and the challenges the United States faces in relation to China and Russia. It emphasizes that the current situation is not a repeat of the Cold War but rather a more dangerous one. The article…
The Problem of Good Conduct Among Financial Advisers
Households in the United States often rely on financial advisers for investment and savings decisions, yet there is a widespread perception that many advisers are dishonest. This distrust is not unwarranted: approximately one in fifteen advisers…