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Show Results For
- All HBS Web
(662)
- People (1)
- News (88)
- Research (452)
- Events (13)
- Multimedia (1)
- Faculty Publications (249)
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- Research Summary
Overview
I develop machine learning tools and techniques which enable human decision makers to make better decisions. More specifically, my research addresses the following fundamental questions pertaining to human and algorithmic decision-making:
1. How to build... View Details
1. How to build... View Details
- 2007
- Working Paper
Investor Sentiment in the Stock Market
By: Malcolm Baker and Jeffrey Wurgler
Real investors and markets are too complicated to be neatly summarized by a few selected biases and trading frictions. The "top down" approach to behavioral finance focuses on the measurement of reduced form, aggregate sentiment and traces its effects to stock returns.... View Details
- Forthcoming
- Article
Reflexivity in Credit Markets
By: Robin Greenwood, Samuel G. Hanson and Lawrence J. Jin
Reflexivity is the idea that investors' biased beliefs affect market outcomes and that market outcomes in turn affect investors’ future biases. We develop a dynamic behavioral model of the credit cycle featuring this two-way feedback loop. Investors form beliefs about... View Details
Greenwood, Robin, Samuel G. Hanson, and Lawrence J. Jin. "Reflexivity in Credit Markets." Journal of Finance (forthcoming).
- 2018
- Chapter
Organizational Remedies for Discrimination
By: R. Ely and A. Feldberg
Laws now exist to protect employees from blatant forms of discrimination in hiring and promotion, but workplace discrimination persists in latent forms. These “second-generation” forms of bias arise in workplace structures, practices, and patterns of interaction that... View Details
Ely, R., and A. Feldberg. "Organizational Remedies for Discrimination." In The Oxford Handbook of Workplace Discrimination, edited by Adrienne J. Colella and Eden B. King, 387–410. New York: Oxford University Press, 2018.
- Summer 2021
- Article
Predictable Country-level Bias in the Reporting of COVID-19 Deaths
By: Botir Kobilov, Ethan Rouen and George Serafeim
We examine whether a country’s management of the COVID-19 pandemic relate to the downward biasing of the number of reported deaths from COVID-19. Using deviations from historical averages of the total number of monthly deaths within a country, we find that the... View Details
Keywords: COVID-19; Deaths; Reporting; Incentives; Government Policy; Health Pandemics; Health Care and Treatment; Country; Crisis Management; Outcome or Result; Reports; Policy
Kobilov, Botir, Ethan Rouen, and George Serafeim. "Predictable Country-level Bias in the Reporting of COVID-19 Deaths." Journal of Government and Economics 2 (Summer 2021).
- January 2021
- Article
Veil-of-Ignorance Reasoning Mitigates Self-Serving Bias in Resource Allocation During the COVID-19 Crisis
By: Karen Huang, Regan Bernhard, Netta Barak-Corren, Max Bazerman and Joshua D. Greene
The COVID-19 crisis has forced healthcare professionals to make tragic decisions concerning which patients to save. Furthermore, the COVID-19 crisis has foregrounded the influence of self-serving bias in debates on how to allocate scarce resources. A utilitarian... View Details
Keywords: Self-serving Bias; Procedural Justice; Bioethics; COVID-19; Fairness; Health Pandemics; Resource Allocation; Decision Making
Huang, Karen, Regan Bernhard, Netta Barak-Corren, Max Bazerman, and Joshua D. Greene. "Veil-of-Ignorance Reasoning Mitigates Self-Serving Bias in Resource Allocation During the COVID-19 Crisis." Judgment and Decision Making 16, no. 1 (January 2021): 1–19.
- 24 Oct 2006
- First Look
First Look: October 24, 2006
Working PapersManaging Functional Biases in Organizational Forecasts: A Case Study of Consensus Forecasting in Supply Chain Planning Authors:Rogelio Oliva and Noel Watson Abstract To date, little research... View Details
Keywords: Sean Silverthorne
- 2006
- Working Paper
Worse but Equal: The Influence of Social Categories on Resource Allocations
By: Stephen M. Garcia, Max H. Bazerman, Shirli Kopelman and Dale T. Miller
This paper explores the influence of social categories on the perceived trade-off between relatively bad but equal distribution of resources between two parties and profit maximizing, yet asymmetric payoffs. Study 1 and 2 showed that people prefer to maximize profits... View Details
Garcia, Stephen M., Max H. Bazerman, Shirli Kopelman, and Dale T. Miller. "Worse but Equal: The Influence of Social Categories on Resource Allocations." Harvard Business School Working Paper, No. 06-033, February 2006. (Revised September 2008, June 2009. In press.)
- Article
The Price of Equality: Suboptimal Resource Allocations across Social Categories
By: Stephen M. Garcia, Max Bazerman, Shirli Kopelman, Avishalom Tor and Dale T. Miller
This paper explores the influence of social categories on the perceived trade-off between relatively bad but equal distribution of resources between two parties and profit maximizing, yet asymmetric, payoffs. Studies 1 and 2 show that people prefer to maximize profits... View Details
Keywords: Equality and Inequality; Resource Allocation; Societal Protocols; Profit; Decision Making; Prejudice and Bias; Market Transactions; Ethics; Power and Influence; Distribution; Organizations
Garcia, Stephen M., Max Bazerman, Shirli Kopelman, Avishalom Tor, and Dale T. Miller. "The Price of Equality: Suboptimal Resource Allocations across Social Categories." Special Issue on Behavioral Ethics: A New Empirical Perspective on Business Ethics Research. Business Ethics Quarterly 20, no. 1 (January 2010): 75–88.
- March 2024
- Case
Unintended Consequences of Algorithmic Personalization
By: Eva Ascarza and Ayelet Israeli
“Unintended Consequences of Algorithmic Personalization” (HBS No. 524-052) investigates algorithmic bias in marketing through four case studies featuring Apple, Uber, Facebook, and Amazon. Each study presents scenarios where these companies faced public criticism for... View Details
Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Customization and Personalization; Technology Industry; Retail Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Unintended Consequences of Algorithmic Personalization." Harvard Business School Case 524-052, March 2024.
- August 2023
- Article
Can Security Design Foster Household Risk-Taking?
By: Laurent Calvet, Claire Célérier, Paolo Sodini and Boris Vallée
This paper shows that securities with a non-linear payoff design can foster household risk-taking. We demonstrate this effect empirically by exploiting the introduction of capital guarantee products in Sweden from 2002 to 2007. The fast and broad adoption of these... View Details
Keywords: Financial Innovation; Household Finance; Structured Products; Stock Market Participation; Finance; Innovation and Invention; Household; Personal Finance; Risk and Uncertainty; Behavior; Market Participation
Calvet, Laurent, Claire Célérier, Paolo Sodini, and Boris Vallée. "Can Security Design Foster Household Risk-Taking?" Journal of Finance 78, no. 4 (August 2023): 1917–1966.
- 2007
- Working Paper
The Ethical Mirage: A Temporal Explanation as to Why We Aren't as Ethical as We Think We Are
By: Ann E. Tenbrunsel, Kristina A. Diekmann, Kimberly A. Wade-Benzoni and Max H. Bazerman
This paper explores the biased perceptions that people hold of their own ethicality. We argue that the temporal trichotomy of prediction, action and evaluation is central to these misperceptions: People predict that they will behave more ethically than they actually... View Details
Keywords: Forecasting and Prediction; Ethics; Behavior; Cognition and Thinking; Perception; Prejudice and Bias
Tenbrunsel, Ann E., Kristina A. Diekmann, Kimberly A. Wade-Benzoni, and Max H. Bazerman. "The Ethical Mirage: A Temporal Explanation as to Why We Aren't as Ethical as We Think We Are." Harvard Business School Working Paper, No. 08-012, August 2007. (revised January 2009, previously titled "Why We Aren't as Ethical as We Think We Are: A Temporal Explanation.")
- July 2014
- Article
Winners in the Spotlight: Media Coverage of Fund Holdings as a Driver of Flows
By: David H. Solomon, Eugene F. Soltes and Denis Sosyura
We show that media coverage of mutual fund holdings affects how investors allocate money across funds. Controlling for fund performance, fund holdings with high past returns attract extra flows only if these stocks were recently featured in major newspapers. In... View Details
Solomon, David H., Eugene F. Soltes, and Denis Sosyura. "Winners in the Spotlight: Media Coverage of Fund Holdings as a Driver of Flows." Journal of Financial Economics 113, no. 1 (July 2014): 53–72.
- 2005
- Working Paper
Letting Misconduct Slide: The Acceptability of Gradual Erosion in Others' Unethical Behavior
By: Francesca Gino and Max H. Bazerman
Four laboratory studies show that people are more likely to overlook others' unethical behavior when ethical degradation occurs slowly rather than in one abrupt shift. Participants served in the role of watchdogs charged with catching instances of cheating. The... View Details
Gino, Francesca, and Max H. Bazerman. "Letting Misconduct Slide: The Acceptability of Gradual Erosion in Others' Unethical Behavior." Harvard Business School Working Paper, No. 06-007, August 2005. (Revised September 2006, February 2007, January 2009. Previously titled "Slippery Slopes and Misconduct: The Effect of Gradual Degradation on the Failure to Notice Others' Unethical Behavior.")
- May 5, 2020
- Article
Why the Crisis Is Putting Companies at Risk of Losing Female Talent
By: Colleen Ammerman and Boris Groysberg
There has been a massive shift in how work gets done inside many companies and the global pivot to working remotely will likely change how many think about face time and rigid work schedules. Might these changes benefit women? The authors argue that will depend on how... View Details
Keywords: Coronavirus Pandemic; Remote Work; Flexible Work Arrangements; Health Pandemics; Employees; Working Conditions; Gender
Ammerman, Colleen, and Boris Groysberg. "Why the Crisis Is Putting Companies at Risk of Losing Female Talent." Harvard Business Review Digital Articles (May 5, 2020).
- May 2022 (Revised June 2024)
- Case
LOOP: Driving Change in Auto Insurance Pricing
By: Elie Ofek and Alicia Dadlani
John Henry and Carey Anne Nadeau, co-founders and co-CEOs of LOOP, an insurtech startup based in Austin, Texas, were on a mission to modernize the archaic $250 billion automobile insurance market. They sought to create equitably priced insurance by eliminating pricing... View Details
Keywords: AI and Machine Learning; Technological Innovation; Equality and Inequality; Prejudice and Bias; Growth and Development Strategy; Customer Relationship Management; Price; Insurance Industry; Financial Services Industry
Ofek, Elie, and Alicia Dadlani. "LOOP: Driving Change in Auto Insurance Pricing." Harvard Business School Case 522-073, May 2022. (Revised June 2024.)
- 2019
- Article
An Empirical Study of Rich Subgroup Fairness for Machine Learning
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
Kearns et al. [2018] recently proposed a notion of rich subgroup fairness intended to bridge the gap between statistical and individual notions of fairness. Rich subgroup fairness picks a statistical fairness constraint (say, equalizing false positive rates across... View Details
Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "An Empirical Study of Rich Subgroup Fairness for Machine Learning." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 100–109.
- 2022
- Chapter
Redirecting Rawlsian Reasoning Toward the Greater Good
By: Joshua D. Greene, Karen Huang and Max Bazerman
In A Theory of Justice, John Rawls employed the ‘veil of Ignorance’ as a moral reasoning device designed to promote impartial thinking. By imagining the choices of decision-makers who are blind to biasing information, one might see more clearly the organizing... View Details
Greene, Joshua D., Karen Huang, and Max Bazerman. "Redirecting Rawlsian Reasoning Toward the Greater Good." Chap. 15 in The Oxford Handbook of Moral Psychology, edited by Manuel Vargas and John M. Doris, 246–261. Oxford, UK: Oxford University Press, 2022.
- July 2009
- Article
When Misconduct Goes Unnoticed: The Acceptability of Gradual Erosion in Others' Unethical Behavior
By: Francesca Gino and Max Bazerman
Four laboratory studies show that people are more likely to accept others' unethical behavior when ethical degradation occurs slowly rather than in one abrupt shift. Participants served in the role of watchdogs charged with catching instances of cheating. The watchdogs... View Details
Gino, Francesca, and Max Bazerman. "When Misconduct Goes Unnoticed: The Acceptability of Gradual Erosion in Others' Unethical Behavior." Journal of Experimental Social Psychology 45, no. 4 (July 2009): 708–719.