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Facial Recognition Technology Can Expose Political Orientation from Naturalistic Facial Images
Ubiquitous facial recognition technology can expose individuals’ political orientation, as faces of liberals and conservatives consistently differ. A facial recognition algorithm was applied to naturalistic images of 1,085,795 individuals to…
Retailing with 3D Printing
Given the promise of three-dimensional (3D) printing, also known as additive manufacturing, some innovative consumer goods companies have started to experiment with such a technology for on-demand production. In this study, we consider two…
Family Spillover Effects of Marginal Diagnoses: The Case of ADHD
The health care system commonly relies on information about family medical history in the allocation of screenings and in diagnostic processes. At the same time, an emerging literature documents that treatment for “marginally diagnosed”…
2020 State of Latino Entrepreneurship
This is the sixth annual State of Latino Entrepreneurship report where we have collected robust survey data from Latino-owned businesses across the country to provide a timely account on the fastest-growing segment of the U.S. business population…
An Achievable-Region-Based Approach for Kidney Allocation Policy Design with Endogenous Patient Choice
Problem definition: Deceased-donor kidney transplant candidates in the United States are ranked according to characteristics of both the donor and the recipient. We seek the ranking policy that optimizes the efficiency–…
Analyst Forecast Revision Consistency and Bias in Earnings Forecast Revisions
We address whether analysts bias earnings forecast revisions and convey the bias using forecast revision consistency, i.e., the extent to which analyst reports with earnings forecast revisions include stock recommendation and target price…
Asymptotic Synthesis of Contingent Claims with Controlled Risk in a Sequence of Discrete-time Markets
We examine the connection between discrete‐time models of financial markets and the celebrated Black–Scholes–Merton (BSM) continuous‐time model in which “markets are complete.” Suppose that (a) the probability law of a sequence of discrete‐time…
COVID-19 and the Workplace: Implications, Issues, and Insights for Future Research and Action
The impacts of COVID-19 on workers and workplaces across the globe have been dramatic. This broad review of prior research rooted in work and organizational psychology, and related fields, is intended to make sense of the implications for…
Chain Stability in Trading Networks
In a general model of trading networks with bilateral contracts, we propose a suitably adapted chain stability concept that plays the same role as pairwise stability in two-sided settings. We show that chain stability is equivalent to stability…
Equilibrium Allocations Under Alternative Waitlist Designs: Evidence From Deceased Donor Kidneys
Waitlists are often used to ration scarce resources, but the trade‐offs in designing these mechanisms depend on agents’ preferences. We study equilibrium allocations under alternative designs for the deceased donor kidney waitlist. We model the…
Equilibrium Technology Diffusion, Trade, and Growth
We study how opening to trade affects economic growth in a model where heterogeneous firms can adopt new technologies already in use by other firms in their home country. We characterize the growth rate using a summary statistic of the…
Experimental Evidence for Scale-Induced Category Convergence across Populations
Individuals vary widely in how they categorize novel and ambiguous phenomena. This individual variation has led influential theories in cognitive and social science to suggest that communication in large social groups introduces path dependence…
Gaming the System: Three “Red Flags” of Potential 10b5-1 Abuse
The SEC adopted Rule 10b5-1 to provide an affirmative defense against allegations of insider trading to executives whose jobs regularly expose them to material nonpublic information. In this Closer Look, we present evidence on the trading…
Grandiose Narcissists and Decision-Making: Impulsive, Overconfident, and Skeptical of Experts — But Seldom in Doubt
A substantial body of research has documented that grandiose narcissists are characterized by high self-esteem, a sense of personal superiority and entitlement, overconfidence, a willingness to exploit others for self-gain, and hostility and…
Inefficiencies in Digital Advertising Markets
Digital advertising markets are growing and attracting increased scrutiny. This article explores four market inefficiencies that remain poorly understood: ad effect measurement, frictions between and within advertising channel members, ad…
Making Great Strategy: Arguing for Organizational Advantage
Making strategy requires undertaking major — often irreversible — decisions aimed at long-run success in an uncertain future. All leaders must formulate a clear course of action, yet many lack confidence in their ability to think systematically…
Mechanisms for a No-Regret Agent: Beyond the Common Prior
A rich class of mechanism design problems can be understood as incomplete-information games between a principal who commits to a policy and an agent who responds, with payoffs determined by an unknown state of the world. Traditionally, these…
Misdirecting persuasive efforts during the COVID-19 pandemic: The targets people choose may not be the most likely to change
Persuading people to engage in specific health behaviors is critical to prevent the spread of and mitigate the harm caused by COVID-19. Most of the research and practice around this issue focuses on developing effective message content.…
Moving Violations: Pairing an Illegitimate Learning Hierarchy with Trainee Status Mobility for Acquiring New Skills When Traditional Expertise Erodes
We explore how members of a community of practice learn new tools and techniques when environmental shifts undermine existing expertise. In our 20-month comparative field study of medical assistants and patient-service representatives learning to…
Policy Learning with Observational Data
In many areas, practitioners seek to use observational data to learn a treatment assignment policy that satisfies application-specific constraints, such as budget, fairness, simplicity, or other functional form constraints. For example,…