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- 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... View Details
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.
- 03 Jun 2014
- Working Paper Summaries
Eliciting Taxpayer Preferences Increases Tax Compliance
- 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... View Details
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.
- 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.
- 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... View Details
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.
- 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... View Details
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).
- August 2021
- Article
Hoping for the Worst? A Paradoxical Preference for Bad News
By: Kate Barasz and Serena Hagerty
Nine studies investigate when and why people may paradoxically prefer bad news—e.g., hoping for an objectively worse injury or a higher-risk diagnosis over explicitly better alternatives. Using a combination of field surveys and randomized experiments, the research... View Details
Keywords: Decision Avoidance; Difficult Decisions; Judgment And Decision Making; Medical Decision-making; Decision Making; Behavior
Barasz, Kate, and Serena Hagerty. "Hoping for the Worst? A Paradoxical Preference for Bad News." Journal of Consumer Research 48, no. 2 (August 2021): 270–288.
- 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... View Details
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.)
Hoping for the Worst? A Paradoxical Preference for Bad News
Nine studies investigate when and why people may paradoxically prefer bad news—e.g., hoping for an objectively worse injury or a higher-risk diagnosis over explicitly better alternatives. Using a combination of field surveys and randomized experiments, the... View Details
- 2022
- Working Paper
Between Human Dignity and Security: Identifying Citizen and Elite Preferences and Concerns over Refugee Reception
By: Kristin Fabbe, Eleni Kyrkopoulou and Mara Vidali
Under what conditions do citizens and elites support the creation of migrant and refugee hosting facilities in their area, and what types of facilities do they prefer? What types of concerns underlay these preferences and how do they differ by ideology and elite... View Details
Fabbe, Kristin, Eleni Kyrkopoulou, and Mara Vidali. "Between Human Dignity and Security: Identifying Citizen and Elite Preferences and Concerns over Refugee Reception." Harvard Business School Working Paper, No. 23-026, November 2022.
- 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.... View Details
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.
- 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... 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; 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.)
- 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
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... 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
- 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
Coffman, Katherine B., Lucas C. Coffman, and Keith Marzilli Ericson. "Non-Binary Gender Economics." NBER Working Paper Series, No. 32222, March 2024.
- April 2023
- Article
Control and Fairness: What Determines Elected Local Leaders’ Support for Hosting Refugees in Their Community?
By: Kristin Fabbe, Eleni Kyrkopoulou, Konstantinos Matakos and Aslı Unan
When it comes to successful refugee reception, the local level matters. Research overwhelmingly examines host communities’ attitudes, but endorsement from local politicians is equally important to resolving conflicts and facilitating harmonious interaction. Yet the... View Details
Keywords: Values; Control; Refugee Resettlement; Local Elites; Contact; Fair-share; Conjoint Experiment; Refugees; Attitudes
Fabbe, Kristin, Eleni Kyrkopoulou, Konstantinos Matakos, and Aslı Unan. "Control and Fairness: What Determines Elected Local Leaders’ Support for Hosting Refugees in Their Community?" Journal of Politics 85, no. 2 (April 2023): 778–783.
- 2022
- Working Paper
Control and Fairness: What Determines Elected Local Leaders’ Support for Hosting Refugees in Their Community?
By: Kristin Fabbe, Eleni Kyrkopoulou, Konstantinos Matakos and Aslı Unan
When it comes to successful refugee reception the local level matters. Research overwhelmingly examines host communities' attitudes, but endorsement from local politicians is equally important to resolving conflicts and facilitating harmonious interaction. Yet, the... View Details
Keywords: Values; Control; Refugee Resettlement; Local Elites; Contact; Fair-share; Conjoint Experiment; Refugees; Integration; Local Range; Leadership; Attitudes; Fairness
Fabbe, Kristin, Eleni Kyrkopoulou, Konstantinos Matakos, and Aslı Unan. "Control and Fairness: What Determines Elected Local Leaders’ Support for Hosting Refugees in Their Community?" Harvard Business School Working Paper, No. 21-088, February 2021. (Revised June 2022.)
- Research Summary
Continuous Combinatorial Exchange
In multiple-good economies with many buyers and sellers (or many swappers) researchers have advocated Combinatorial Exchange generalized one-shot double auctions in which traders can express offers to buy, sell, or swap packages of goods to facilitate efficient... View Details
- 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... View Details
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.
- 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
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.)