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Keeping Players in the Dark: Benefits of Private Monitoring
I survey the benefits of keeping players in the dark about payoff- or strategy-relevant variables in dynamic games. Topics include repeated games with private monitoring, stochastic games with incomplete information, and repeated/stochastic games…
Service Quality on Online Platforms: Empirical Evidence About Driving Quality at Uber
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…
Development and Preliminary Validation of a Survey Assessing Technology Innovation Readiness in Health Care Settings
Background
Innovation readiness is crucial for transformative changes and enhanced performance in health care and depends on multiple factors including trust, training, and unit dynamics.
Purposes
We develop and validate…
On Aligning Prediction Models with Clinical Experiential Learning: A Prostate Cancer Case Study
Over the past decade, the use of machine learning (ML) models in healthcare applications has rapidly increased. Despite high performance, modern ML models do not always capture patterns the end user requires. For example, a model may predict a…
2025 CEO Coaching and Kitchen Cabinet Survey
In spring 2025, the Corporate Governance Research Initiative at Stanford Graduate School of Business, Arthur and Toni Rembe Rock Center for Corporate Governance, Governance of Organizations Working Group at the Hoover Institution at Stanford…
2025 Director Coaching and Kitchen Cabinet Survey
In spring 2025, the Corporate Governance Research Initiative at Stanford Graduate School of Business, Arthur and Toni Rembe Rock Center for Corporate Governance, Governance of Organizations Working Group at the Hoover Institution at Stanford…
Congestion Pricing, Carpooling, and Commuter Welfare
Building on the canonical “bottleneck” model of Vickrey (1969), we show that carpooling and road pricing are highly complementary in addressing traffic congestion: they can be much more effective jointly than each one separately, and can improve…
Digital Traffic, Financial Performance, and Stock Valuation
We examine the economic implications of digital traffic on firms’ financial performance, stock valuation, and financial surprises. Our analysis shows that timely flows of digital traffic are contemporaneous and leading indicators of firms’…
Optimal Estimation When Researcher and Social Preferences Are Misaligned
Econometric analysis typically focuses on the statistical properties of fixed estimators and ignores researcher choices. In this article, I instead approach the analysis of experimental data as a mechanism‐design problem that acknowledges that…
Racial Disparities in the Discretionary Context of Traffic Stops: How Organizational Practices Shape Institutional Interactions
Traffic stops are common and consequential for citizens’ legal socialization and for racial gaps in police-community trust. Efforts to change the tenor of police interactions, however, may discount the discretionary context of stops —…
United States Insolvency Practices: Can They Be Better?
What Do Managers Do? An Economist’s Perspective
Economic activity requires motivating and coordinating individuals to work toward a common goal. These aims are the purview of managers. What, however, do managers actually do? We outline three defining principles of economic research on managers…
Non-Profit Hospital Governance, Conduct, and CEO Pay
We investigate whether the membership of a non-profit hospital’s CEO on its board of directors is associated with CEO pay and several measures of hospital performance, including price, operating margin, quality, and service to low-income patients…
Rendering Humans behind Occlusions
Rendering the visual appearance of moving humans from occluded monocular videos is a challenging task. Most existing research renders 3D humans under ideal conditions, requiring a clear and unobstructed scene. Those previous methods cannot be…
Local-Thinking Bias
Local-thinking bias, wherein agents overweight information that comes readily to mind, is a prominent finding in cognitive psychology. In this study, we investigate local-thinking bias in the context of sell-side analysts and measure each analyst…
Ultra-Fresh Fashion: Creating Demand with Freshness and Agility
Using agile supply chains, fast fashion companies have been viewed as best practice examples in industries. Prior research focuses on how agility can equip such companies with strong sense-and-respond capabilities to identify and fulfill…
The Limited Corporate Response to DEI Controversies
Firms’ diversity, equity, and inclusion (DEI) policies have received significant scrutiny in recent years, including their efficacy and role in long-term value creation. We provide new evidence on these issues by studying what is arguably the…
Feasibility of a Digital Coaching Program for Improving Mental Well-Being and Emotional Intelligence: Pragmatic Retrospective Cohort Study
Background: Within the past decade, digital coaching programs (DCPs) have emerged as an evidence-based modality to improve mental well-being and emotional intelligence (EI), although there is limited evidence in real-world…
When Mimicry Leads to Divergence: Interdependence Asymmetries and Selective Imitation Among Competitors
Research Summary
We investigate why firms imitating the same competitor’s strategy in the same environment often replicate different components of that strategy. We argue that such divergence can arise because firms vary in the…
Complex Technology Requires Cultural Innovations for Distributing Cognition
Over the last decade, new research has shown how human collectives can develop technologies that no single individual could discover on their own. However, this research often overlooks how technology can become so complex that individuals cannot…