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The No Surprises Act and Informed Financial Consent
The No Surprises Act requires out-of-network providers to obtain explicit, informed consent regarding a patient’s payments stemming from a planned episode of care. This policy could not only help stop surprise billing, it could also promote…
The Evolution of Empirical Methods in Accounting Research and the Growth of Quasi-Experiments
This paper reviews the empirical methods used in the accounting literature to draw causal inferences. Similar to other social science disciplines, recent years have seen a burgeoning growth in the use of methods that seek to provide as-if random…
Conformal Inference of Counterfactuals and Individual Treatment Effects
Evaluating treatment effect heterogeneity widely informs treatment decision making. At the moment, much emphasis is placed on the estimation of the conditional average treatment effect via flexible machine learning algorithms. While these methods…
Facilitating the Search for Partners on Matching Platforms
Two-sided matching platforms can control and optimize over many aspects of the search for partners. To understand how matching platforms should be designed, we introduce a dynamic two-sided search model with strategic agents who must bear a cost…
Gender, Generation, and Multiracial Identification in the United States
Multiracial self-identification is frequently portrayed as a disproportionately female tendency, but previous research has not probed the conditions under which this relationship might occur. Using the 2015 Pew Survey of Multiracial Adults, we…
Learning New Auction Format by Bidders in Internet Display Ad Auctions
We study actual bidding behavior when a new auction format gets introduced into the marketplace. More specifically, we investigate this question using a novel data set on internet display ad auctions that exploits a staggered adoption by…
Machine Learning, Behavioral Targeting and Regression Discontinuity Designs
The availability of behavioral data on customers and advances in machine learning methods have enabled scoring and targeting of customers in a variety of domains, including pricing, advertising, recommendation and personal selling. Typically,…
Neighborhood-Based Information Costs
We derive a new cost of information in rational inattention problems, the neighborhood-based cost functions, starting from the observation that many settings involve exogenous states with a topological structure. These cost functions are…
Reshaping Global Trade: the Immediate and Long-Run Effects of Bank Failures
I study the first modern global banking crisis that began in London in 1866 and provide causal evidence that financial sector disruptions can reshape international trade patterns for decades. Using newly collected archival loan records that link…
The Gender Earnings Gap in the Gig Economy: Evidence from over a Million Rideshare Drivers
The growth of the “gig” economy generates worker flexibility that, some have speculated, will favor women. We explore this by examining labour supply choices and earnings among more than a million rideshare drivers on Uber in the U.S. We document…
What I Like Is What I Remember: Memory Modulation and Preferential Choice
Memory is a crucial component of everyday decision making, yet little is known about how memory and choice processes interact and whether or not established memory regularities persist during memory-based decision making. In this paper, we…
Former Inpatient Psychiatric Patients’ Past Experiences With Traditional Frontline Staff and Their Thoughts on the Benefits of Peers as Part of Frontline Staff
Little is known about how integrating peers into frontline staff might improve the quality of inpatient psychiatric care. In the current study, we interviewed 18 former adult patients of inpatient psychiatric facilities using semi-structured…
When “Me” Trumps “We”: Narcissistic Leaders and the Cultures They Create
Research has shown that a leader’s personality can affect organizational culture. We focus on leader narcissism and examine how it affects two specific organizational culture dimensions — collaboration and integrity. In two field studies and…
Financial Reporting and Consumer Behavior
We find that financial reporting spurs consumer behavior. Using granular GPS data, we find that foot-traffic to firms’ commerce locations significantly increases in the days following their earnings announcements. Foot-traffic increases more for…
Cultural Evolutionary Mismatches in Response to Collective Threat
Across the millennia, human groups have evolved specific cultural and psychological adaptations to cope with collective threats, from terrorism to natural disasters to pathogens. In particular, research has identified cultural tightness,…
The Power of Prediction: Predictive Analytics, Workplace Complements, and Business Performance
Anecdotes abound suggesting that the use of predictive analytics boosts firm performance. However, large-scale representative data on this phenomenon have been lacking. Working with the Census Bureau, we surveyed over 30,000 American…
Tax Accounting Research on Corporate Investment: A Discussion of the Impact of IP Box Regimes on the M&A Market by Bradley, Ruf, and Robinson (2021)
In The Impact of IP Box Regimes on the M&A Market, Bradley, Robinson, and Ruf (2021) study whether and to what extent tax incentives for intellectual property affect corporate M&A investment activity. The paper finds that a…
The General Counsel View of ESG Risk
In this Closer Look, we examine the General Counsel perspective of Environmental, Social, and Governance matters. General Counsel offer an interesting perspective because they are charged with advising boards and companies on operating between…
Cost Dynamics of Clean Energy Technologies
The pace of the global decarbonization process is widely believed to hinge on the rate of cost improvements for clean energy technologies, in particular renewable power and energy storage. This paper adopts the classical learning-by-doing…
Enhancing the Value to Users of Machine Learning-Based Clinical Decision Support Tools: A Framework for Iterative, Collaborative Development and Implementation
Health care organizations are integrating a variety of machine learning (ML)-based clinical decision support (CDS) tools into their operations, but practitioners lack clear guidance regarding how to implement these tools so that they assist end…