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- 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...
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Dhaliwal, Nathan, Jillian J. Jordan, and Pat Barclay. "Modest Victims: Victims Who Decline to Broadcast Their Victimization Are Seen As Morally Virtuous." Working Paper, August 2024.
- 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,...
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Ghezae, Isaias, Jillian J. Jordan, Izzy Gainsburg, Mohsen Mosleh, Gordon Pennycook, Robb Willer, and David Rand. "Partisans neither Expect nor Receive Reputational Rewards for Sharing Falsehoods over Truth Online." PNAS Nexus 3, no. 8 (August 2024).
- 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...
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Coffman, Katherine B., Lucas C. Coffman, and Keith Marzilli Ericson. "Non-Binary Gender Economics." NBER Working Paper Series, No. 32222, March 2024.
- 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...
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Keywords:
Project Selection;
Pharmaceuticals;
Financing Innovation;
Resource Allocation;
Innovation and Invention;
Research and Development
Krieger, Joshua, Ramana Nanda, Ian Hunt, Aimee Reynolds, and Peter Tarsa. "Scoring and Funding Breakthrough Ideas: Evidence from a Global Pharmaceutical Company." Harvard Business School Working Paper, No. 23-014, August 2022. (Revised November 2023.)
- 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...
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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
Barry, Jordan M., John William Hatfield, and Scott Duke Kominers. "To Thine Own Self Be True? Incentive Problems in Personalized Law." Art. 2. William & Mary Law Review 62, no. 3 (2021).
- 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...
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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
- March 2021
- Article
Deliberately Prejudiced Self-driving Vehicles Elicit the Most Outrage
By: Julian De Freitas and Mina Cikara
Should self-driving vehicles be prejudiced, e.g., deliberately harm the elderly over young children? When people make such forced-choices on the vehicle’s behalf, they exhibit systematic preferences (e.g., favor young children), yet when their options are unconstrained...
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Keywords:
Moral Judgment;
Autonomous Vehicles;
Driverless Policy;
Moral Outrage;
Moral Sensibility;
Judgments;
Transportation;
Policy
De Freitas, Julian, and Mina Cikara. "Deliberately Prejudiced Self-driving Vehicles Elicit the Most Outrage." Cognition 208 (March 2021).
- January 2021 (Revised March 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
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...
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Keywords:
Data;
Data Analytics;
Artificial Intelligence;
AI;
AI Algorithms;
AI Creativity;
Fashion;
Retail;
Retail Analytics;
E-Commerce Strategy;
Platform;
Platforms;
Big Data;
Preference Elicitation;
Preference Prediction;
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
Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
- April 2020
- Article
Field Comparisons of Incentive-Compatible Preference Elicitation Techniques
By: Shawn A. Cole, A. Nilesh Fernando, Daniel Stein and Jeremy Tobacman
Knowledge of consumer demand is important for firms, policy makers, and economists. One common tool for incentive-compatible demand elicitation, the Becker-DeGroot-Marschak (BDM) mechanism, has been widely used in laboratory settings but rarely evaluated for...
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Keywords:
Incentive-compatible Elicitation;
Experimental Methods;
Weather Insurance;
Rainfall Insurance;
Agricultural Extension;
Demand and Consumers
Cole, Shawn A., A. Nilesh Fernando, Daniel Stein, and Jeremy Tobacman. "Field Comparisons of Incentive-Compatible Preference Elicitation Techniques." Journal of Economic Behavior & Organization 172 (April 2020): 33–56.
- 2019
- Working Paper
Labor Market Shocks and the Demand for Trade Protection: Evidence from Online Surveys
By: Rafael Di Tella and Dani Rodrik
We study preferences for government action in response to layoffs resulting from different types of labor-market shocks. We consider the following shocks: technological change, a demand shift, bad management, and three kinds of international outsourcing. Respondents...
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Di Tella, Rafael, and Dani Rodrik. "Labor Market Shocks and the Demand for Trade Protection: Evidence from Online Surveys." NBER Working Paper Series, No. 25705, March 2019.
- Article
Maimonides' Ladder: States of Mutual Knowledge and the Perception of Charitability
By: Julian De Freitas, Peter DiScioli, Kyle A. Thomas and Steven Pinker
Why do people esteem anonymous charitable giving? We connect normative theories of charitability
(captured in Maimonides’ Ladder of Charity) with evolutionary theories of partner choice to test predictions on how attributions of charitability are affected by states of...
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Keywords:
Charity;
Reciprocity;
Partner Choice;
Common Knowledge;
Philanthropy and Charitable Giving;
Knowledge;
Perception
De Freitas, Julian, Peter DiScioli, Kyle A. Thomas, and Steven Pinker. "Maimonides' Ladder: States of Mutual Knowledge and the Perception of Charitability." Journal of Experimental Psychology: General 148, no. 1 (January 2019): 158–173.
- April 2018
- Article
The Power of Voice in Stimulating Morality: Eliciting Taxpayer Preferences Increases Tax Compliance
By: Cait Lamberton, Jan-Emmanuel De Neve and Michael I. Norton
Decisions about paying taxes represent one of the most common moral quandaries faced by citizens. In the
present research, we argue that taxpayer compliance can be raised by increasing “voice”: allowing taxpayers
to express non-binding preferences about the way their...
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Keywords:
Morality;
Public Policy;
Ethics;
Moral Sensibility;
Taxation;
Policy;
Attitudes;
Governance Compliance
Lamberton, Cait, Jan-Emmanuel De Neve, and Michael I. Norton. "The Power of Voice in Stimulating Morality: Eliciting Taxpayer Preferences Increases Tax Compliance." Special Issue on Marketplace Morality. Journal of Consumer Psychology 28, no. 2 (April 2018): 310–328.
- May 2017 (Revised March 2018)
- Case
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big...
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Keywords:
Retailing;
Preference Elicitation;
Big Data;
Predictive Analytics;
Artificial Intelligence;
Fashion;
Marketing;
Marketing Strategy;
Marketing Channels;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Analytics and Data Science;
Forecasting and Prediction;
E-commerce;
Apparel and Accessories Industry;
Consumer Products Industry;
Fashion Industry;
Retail Industry;
United States;
Canada;
North America
Israeli, Ayelet, and Jill Avery. "Predicting Consumer Tastes with Big Data at Gap." Harvard Business School Case 517-115, May 2017. (Revised March 2018.)
- 2015
- Chapter
Framing the Game: How Brands' Relationships with Their Competitors Affect Consumer Preference
By: Neeru Paharia, Jill Avery and Anat Keinan
In this chapter, we explore how brands' relationships with their competitors affect consumers' preferences. Through a series of experiments, we show that the competitive context in which a brand operates can affect consumers' purchase interest and purchase frequency....
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Keywords:
Brand Management;
CRM;
Customer Relationship Management;
Marketing Strategy;
Marketing;
Brands and Branding;
Customer Focus and Relationships;
Competition;
Consumer Products Industry
Paharia, Neeru, Jill Avery, and Anat Keinan. "Framing the Game: How Brands' Relationships with Their Competitors Affect Consumer Preference." Chap. 2 in Strong Brands, Strong Relationships, edited by Susan Fournier, Michael Breazeale, and Jill Avery. Abingdon, UK: Routledge, 2015.
- Article
Effects of Description of Options on Parental Perinatal Decision-Making
By: Marlyse F. Haward, Leslie K. John, John M. Lorenz and Baruch Fischhoff
Objective: To examine whether parents' delivery room management decisions for extremely preterm infants are influenced by (a) the degree of detail with which options-comfort care (CC) or intensive care (IC)-are presented or (b) their order of presentation. Methods: 309...
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Keywords:
Decision Making;
Values and Beliefs;
Personal Characteristics;
Attitudes;
Motivation and Incentives;
Family and Family Relationships;
Health Care and Treatment
Haward, Marlyse F., Leslie K. John, John M. Lorenz, and Baruch Fischhoff. "Effects of Description of Options on Parental Perinatal Decision-Making." Pediatrics 129, no. 5 (May 2012): 891–902.
- September–October 2012
- Article
One-Switch Conditions for Multiattribute Utility Functions
By: Ali E. Abbas and David E. Bell
We introduce a variety of new independence conditions for multiattribute utility functions that permit preference dependencies among the attributes of a decision problem. The hierarchy of new conditions varies in the degree to which it specifies the functional form,...
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Abbas, Ali E., and David E. Bell. "One-Switch Conditions for Multiattribute Utility Functions." Operations Research 60, no. 5 (September–October 2012): 1199–1212.
- Article
Testing Substitutability
By: John William Hatfield, Nicole Immorlica and Scott Duke Kominers
We provide an algorithm for testing the substitutability of a length-N preference relation over a set of contracts X in time O(|X|3⋅N3). Access to the preference relation is essential for this result: We show that a substitutability-testing algorithm with access only...
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Keywords:
Substitutability;
Matching;
Communication Complexity;
Preference Elicitation;
Marketplace Matching;
Communication;
Mathematical Methods;
Economics
Hatfield, John William, Nicole Immorlica, and Scott Duke Kominers. "Testing Substitutability." Games and Economic Behavior 75, no. 2 (July 2012): 639–645.
- June 1983
- Article
Elicitation of Honest Preferences for the Assignment of Individuals to Positions
By: Dutch Leonard
Leonard, Dutch. "Elicitation of Honest Preferences for the Assignment of Individuals to Positions." Journal of Political Economy 91, no. 3 (June 1983): 461–479.
- November 1976
- Article
Partial Equilibrium Approach to the Free-Rider Problem
By: Jerry R. Green, Elon Kohlberg and Jean-Jacques Laffont
Groves and others have shown that truthful answers concerning preferences for public goods can be elicited as dominant strategies if appropriate tax-subsidies rules are applied. This paper studies the statistical properties of the total revenues generated by one of the...
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Keywords:
Problems and Challenges
Green, Jerry R., Elon Kohlberg, and Jean-Jacques Laffont. "Partial Equilibrium Approach to the Free-Rider Problem." Journal of Public Economics 6, no. 4 (November 1976): 375–394.