Publications
Publications
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- 2024
- Working Paper
Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships
By: Julian De Freitas, Noah Castelo, Ahmet Uğuralp and Zeliha Uğuralp
Can consumers form deep emotional bonds with AI and be vested in AI identities over time? We
leverage a natural app-update event at Replika AI, a popular US-based AI companion, to shed
light on these questions. We find that customers feel closer to their AI companion... View Details
- 2024
- Working Paper
How Real Is Hypothetical?: A High-Stakes Test of the Allais Paradox
By: Uri Gneezy, Yoram Halevy, Brian Hall, Theo Offerman and Jeroen van de Ven
Researchers in behavioral and experimental economics often argue that only
incentive-compatible mechanisms can elicit effort and truthful responses from participants.
Others argue that participants make less-biased decisions when the stakes
are sufficiently high.... View Details
- 2024
- Working Paper
Modest Victims: Victims Who Decline to Broadcast Their Victimization Are Seen As Morally Virtuous
By: Nathan Dhaliwal, Jillian J. Jordan and Pat Barclay
What do people think of victims who conceal their victimhood? We propose that the decision to not broadcast that one has been victimized serves as a costly act of modesty—in doing so, one is potentially forgoing social support and compensation from one’s community. We... View Details
- August 2024
- Article
Partisans neither Expect nor Receive Reputational Rewards for Sharing Falsehoods over Truth Online.
By: Isaias Ghezae, Jillian J. Jordan, Izzy Gainsburg, Mohsen Mosleh, Gordon Pennycook, Robb Willer and David Rand
A frequently invoked explanation for the sharing of false over true political information is that partisans are motivated by their reputations. In particular, it is often argued that by indiscriminately sharing news that is favorable to one’s political party,... View Details
- June 2024
- Article
Redistributive Allocation Mechanisms
By: Mohammad Akbarpour, Piotr Dworczak and Scott Duke Kominers
Many scarce public resources are allocated at below-market-clearing prices, and sometimes for free. Such "non-market" mechanisms sacrifice some surplus, yet they can potentially improve equity. We develop a model of mechanism design with redistributive concerns. Agents... View Details
- June 2024
- Article
Stereotypes and Belief Updating
By: Katherine B. Coffman, Manuela Collis and Leena Kulkarni
We explore how feedback shapes, and perpetuates, gender gaps in self-assessments. Participants in our experiment take tests of their ability across different domains. We elicit their beliefs of their performance before and after feedback. We find that, even after the... View Details
- Working Paper
Non-Binary Gender Economics
By: Katherine B. Coffman, Lucas C. Coffman and Keith Marzilli Ericson
Economics research has largely overlooked non-binary individuals. We aim to jump-start the literature by providing data on several economically-important beliefs and preferences. Among many results, non-binary individuals report more gender-based discrimination and... View Details
- 2024
- Working Paper
Employer-Based Short-Term Savings Accounts
By: Sarah Holmes Berk, John Beshears, Jay Garg, James J. Choi and David Laibson
We study the introduction of a choice architecture design intended to increase short-term savings among employees at five U.K. firms. Employees were offered the opportunity to opt into a payroll deduction program that auto-deposits funds from each paycheck into a... View Details
- 2024
- Conference Paper
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
Large Language Models (LLMs) are increasingly used as powerful tools for several
high-stakes natural language processing (NLP) applications. Recent prompting
works claim to elicit intermediate reasoning steps and key tokens that serve as
proxy explanations for LLM... View Details
- September 2023
- Article
Addressing Vaccine Hesitancy: Experimental Evidence from Nine Countries during the COVID-19 Pandemic
By: Vincenzo Galasso, Vincent Pons, Paola Profeta, Martin McKee, David Stuckler, Michael Becher, Sylvain Brouard and Martial Foucault
We study the impact of public health messages on intentions to vaccinate and vaccination uptakes, especially among hesitant groups. We performed an experiment comparing the effects of egoistic and altruistic messages on COVID-19 vaccine intentions and behaviour. We... View Details
- July 2023
- Article
So, Who Likes You? Evidence from a Randomized Field Experiment
By: Ravi Bapna, Edward McFowland III, Probal Mojumder, Jui Ramaprasad and Akhmed Umyarov
With one-third of marriages in the United States beginning online, online dating platforms have become important curators of the modern social fabric. Prior work on online dating has elicited two critical frictions in the heterosexual dating market. Women, governed by... View Details
- 2023
- Article
Conduit Incentives: Eliciting Cooperation from Workers Outside of Managers' Control
By: Susanna Gallani
Can managers use monetary incentives to elicit cooperation from workers they cannot reward for their efforts? I study “conduit incentives,” an innovative incentive design, whereby managers influence bonus-ineligible workers’ effort by offering bonus-eligible employees... View Details
Keywords: Organizational Behavior Modification; Peer Monitoring; Persistence Of Performance Improvements; Crowding Out; Implicit Incentives; Compensation; Healthcare; Social Pressure; Image Motivation; Incentives; Motivation; Performance; Behavior; Motivation and Incentives; Compensation and Benefits; Governing Rules, Regulations, and Reforms; Organizational Culture; Health Industry; California
- 2023
- Working Paper
Scoring and Funding Breakthrough Ideas: Evidence from a Global Pharmaceutical Company
By: Joshua Krieger, Ramana Nanda, Ian Hunt, Aimee Reynolds and Peter Tarsa
We study resource allocation to early-stage ideas at an internal startup program of
one the largest pharmaceutical firms in the world. Our research design enables us to
elicit every evaluator’s scores across five different attributes, before seeing how they
would... View Details
- July 2022
- Article
The Passionate Pygmalion Effect: Passionate Employees Attain Better Outcomes in Part Because of More Preferential Treatment by Others
By: Ke Wang, Erica R. Bailey and Jon M. Jachimowicz
Employees are increasingly exhorted to “pursue their passion” at work. Inherent in this call is the belief that passion will produce higher performance because it promotes intrapersonal processes that propel employees forward. Here, we suggest that the pervasiveness of... View Details
- July 2022
- Article
When Alterations Are Violations: Moral Outrage and Punishment in Response to (Even Minor) Alterations to Rituals
By: Daniel H. Stein, Juliana Schroeder, Nicholas M. Hobson, Francesca Gino and Michael I. Norton
From Catholics performing the sign of the cross since the 4th century to Americans reciting the Pledge of Allegiance since the 1890s, group rituals (i.e., predefined sequences of symbolic actions) have strikingly consistent features over time. Seven studies (N = 4,213)... View Details
Keywords: Ritual; Morality; Groups; Norms; Commitment; Groups and Teams; Values and Beliefs; Change; Moral Sensibility; Behavior
- December 2021
- Article
Left- and Right-Leaning News Organizations Use Negative Emotional Content and Elicit User Engagement Similarly
By: Andrea Bellovary, Nathaniel Young and Amit Goldenberg
Negativity has historically dominated news content; however, little research has examined how news organizations use affect on social media, where content is generally positive. In the current project we ask a few questions: Do news organizations on Twitter use... View Details
Keywords: Negative Press; Twitter; Political Affiliation; Affect; News; Media; Internet and the Web; Emotions; Perspective; Social Media
- December 2021
- Article
Negativity Spreads More Than Positivity on Twitter after Both Positive and Negative Political Situations
By: Jonas Paul Schöne, Brian Parkinson and Amit Goldenberg
What type of emotional language spreads further in political discourses on social media? Previous research has focused on situations that primarily elicited negative emotions, showing that negative language tended to spread further. The current project extends existing... View Details
- October 2021
- Article
Shareholder Activism and Firms' Voluntary Disclosure of Climate Change Risks
By: Caroline Flammer, Michael W. Toffel and Kala Viswanathan
This paper examines whether—in the absence of mandated disclosure requirements—shareholder activism can elicit greater disclosure of firms’ exposure to climate change risks. We find that environmental shareholder activism increases the voluntary disclosure of climate... View Details
Keywords: Transparency; Reporting; Shareholder Engagement; Shareholder Activism; Climate Change; Risk and Uncertainty; Environmental Management; Investment Activism; Corporate Disclosure; Communication Strategy; Information Publishing; Measurement and Metrics; Corporate Social Responsibility and Impact; Problems and Challenges; United States
- 2021
- Article
To Thine Own Self Be True? Incentive Problems in Personalized Law
By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers
Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate... View Details
Keywords: Personalized Law; Regulation; Regulatory Avoidance; Regulatory Arbitrage; Law And Economics; Law And Technology; Law And Artificial Intelligence; Futurism; Moral Hazard; Elicitation; Signaling; Privacy; Law; Governing Rules, Regulations, and Reforms; Information Technology; AI and Machine Learning
- May 2021 (Revised February 2024)
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States