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- All HBS Web (66)
- Faculty Publications (34)
Show Results For
- All HBS Web (66)
- Faculty Publications (34)
- Article
A Learning Perspective on Intraorganizational Knowledge Spill-Ins
By: James Oldroyd and Ranjay Gulati
This exploratory study examines the role of intraorganizational knowledge spill-ins in the process of inferential learning. Drawing on the notions of knowledge reliability (the creation of shared meanings) and validity (understandings of cause and effect), we explore...
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Oldroyd, James, and Ranjay Gulati. "A Learning Perspective on Intraorganizational Knowledge Spill-Ins." Strategic Entrepreneurship Journal 4, no. 4 (December 2010): 356–372.
- December 2008
- Article
Behavioral Frontiers in Choice Modeling
We review the discussion at a workshop whose goal was to achieve a better integration among behavioral, economic, and statistical approaches to choice modeling. The workshop explored how current approaches to the specification, estimation, and application of choice...
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Keywords:
Mathematical Methods;
Integration;
Goals and Objectives;
Decision Choices and Conditions;
Problems and Challenges;
Business Processes;
Customers;
Behavior;
Economics
Adamowicz, Wiktor, David Bunch, Trudy Ann Cameron, Benedict G.C. Dellaert, Michael Hanneman, Michael Keane, Jordan Louviere, Robert Meyer, Thomas J. Steenburgh, and Joffre Swait. "Behavioral Frontiers in Choice Modeling." Marketing Letters 19, nos. 3/4 (December 2008): 215–219.
- August 2011
- Article
Coming Clean and Cleaning Up: Does Voluntary Self-Reporting Indicate Effective Self-Policing
By: Michael W. Toffel and Jodi L. Short
Regulatory agencies are increasingly establishing voluntary self-reporting programs both as an investigative tool and to encourage regulated firms to commit to policing themselves. We investigate whether voluntary self-reporting can reliably indicate effective...
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Keywords:
Environmental Sustainability;
Governing Rules, Regulations, and Reforms;
Programs;
Governance Compliance;
Corporate Disclosure;
Law Enforcement
Toffel, Michael W., and Jodi L. Short. "Coming Clean and Cleaning Up: Does Voluntary Self-Reporting Indicate Effective Self-Policing." Journal of Law & Economics 54, no. 3 (August 2011): 609–649.
- October 2020 (Revised May 2023)
- Exercise
SenseAim Technologies: Pricing to Win
By: Elie Ofek, Eyal Biyalogorsky, Marco Bertini and Oded Koenigsberg
This exercise serves to help students understand the proper role and use of costs in a firm’s pricing decisions. The exercise is designed such that the learning of students evolves across a classroom session, starting from understanding which costs are relevant when...
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Ofek, Elie, Eyal Biyalogorsky, Marco Bertini, and Oded Koenigsberg. "SenseAim Technologies: Pricing to Win." Harvard Business School Exercise 521-049, October 2020. (Revised May 2023.)
- July 2019
- Article
I Know Why You Voted for Trump: (Over)inferring Motives Based on Choice
By: Kate Barasz, Tami Kim and Ioannis Evangelidis
People often speculate about why others make the choices they do. This paper investigates how such inferences are formed as a function of what is chosen. Specifically, when observers encounter someone else's choice (e.g., of political candidate), they use the chosen...
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Keywords:
Self-other Difference;
Social Perception;
Inference-making;
Preferences;
Consumer Behavior;
Prediction;
Prediction Error;
Decision Choices and Conditions;
Perception;
Behavior;
Forecasting and Prediction
Barasz, Kate, Tami Kim, and Ioannis Evangelidis. "I Know Why You Voted for Trump: (Over)inferring Motives Based on Choice." Special Issue on The Cognitive Science of Political Thought. Cognition 188 (July 2019): 85–97.
- Article
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups....
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Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- Article
From Thinking Too Little to Thinking Too Much: A Continuum of Decision Making.
By: Dan Ariely and Michael I. Norton
Due to the sheer number and variety of decisions that people make in their everyday lives-from choosing yogurts to choosing religions to choosing spouses-research in judgment and decision making has taken many forms. We suggest, however, that much of this research has...
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Ariely, Dan, and Michael I. Norton. "From Thinking Too Little to Thinking Too Much: A Continuum of Decision Making." Wiley Interdisciplinary Reviews: Cognitive Science 2, no. 1 (January–February 2011): 39–46.
- 2010
- Other Unpublished Work
Modeling Passenger Travel and Delays in the National Air Transportation System
Many of the existing methods for evaluating an airline's on-time performance are based on flight-centric measures of delay. However, recent research has demonstrated that passenger delays depend on many factors in addition to flight delays. For instance,...
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- March–April 2022
- Article
School Choice in Chile
By: Jose Correa, Natalie Epstein, Rafael Epstein, Juan Escobar, Ignacio Rios, Nicolas Aramayo, Bastian Bahamondes, Carlos Bonet, Martin Castillo, Andres Cristi, Boris Epstein and Felipe Subiabre
Centralized school admission mechanisms are an attractive way of improving social welfare and fairness in large educational systems. In this paper, we report the design and implementation of the newly established school choice system in Chile, where over 274,000...
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Keywords:
Early Childhood Education;
Secondary Education;
Middle School Education;
Family and Family Relationships;
Welfare;
Chile
Correa, Jose, Natalie Epstein, Rafael Epstein, Juan Escobar, Ignacio Rios, Nicolas Aramayo, Bastian Bahamondes, Carlos Bonet, Martin Castillo, Andres Cristi, Boris Epstein, and Felipe Subiabre. "School Choice in Chile." Operations Research 70, no. 2 (March–April 2022): 1066–1087.
- 2021
- Working Paper
Cognitive Biases: Mistakes or Missing Stakes?
By: Benjamin Enke, Uri Gneezy, Brian Hall, David Martin, Vadim Nelidov, Theo Offerman and Jeroen van de Ven
Despite decades of research on heuristics and biases, empirical evidence on the effect of large incentives—as present in relevant economic decisions—on cognitive biases is scant. This paper tests the effect of incentives on four widely documented biases: base rate...
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Enke, Benjamin, Uri Gneezy, Brian Hall, David Martin, Vadim Nelidov, Theo Offerman, and Jeroen van de Ven. "Cognitive Biases: Mistakes or Missing Stakes?" Harvard Business School Working Paper, No. 21-102, March 2021.
- 03 Mar 2022
- HBS Seminar
Daniela Saban, Stanford
- 2023
- Working Paper
How People Use Statistics
By: Pedro Bordalo, John J. Conlon, Nicola Gennaioli, Spencer Yongwook Kwon and Andrei Shleifer
We document two new facts about the distributions of answers in famous statistical problems: they are i) multi-modal and ii) unstable with respect to irrelevant changes in the problem. We offer a model in which, when solving a problem, people represent each hypothesis...
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Bordalo, Pedro, John J. Conlon, Nicola Gennaioli, Spencer Yongwook Kwon, and Andrei Shleifer. "How People Use Statistics." NBER Working Paper Series, No. 31631, August 2023.
- 14 Sep 2021
- HBS Seminar
Dashun Wang, Northwestern
- 2022
- Working Paper
Slowly Varying Regression under Sparsity
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem...
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Keywords:
Mathematical Methods
Bertsimas, Dimitris, Vassilis Digalakis Jr, Michael Lingzhi Li, and Omar Skali Lami. "Slowly Varying Regression under Sparsity." Working Paper, September 2022.
- Web
Design Thinking Course | HBS Online
User Values and Behaviors Refine innovation ideas using design heuristics and apply research-based personas and behavior models to make innovations easier to adopt. Highlights Match Mental Models, Reduce Complexity, and Prevent Errors...
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- 24 Nov 2010
- Working Paper Summaries
Valuation When Cash Flow Forecasts Are Biased
Keywords:
by Richard S. Ruback
- 09 Nov 2017
- HBS Seminar
Alfonso Gambardella, Bocconi University
- 07 Nov 2016
- HBS Seminar
Vishal Gaur, Johnson, Cornell University
- 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...
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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.
- 2023
- Working Paper
The Irredeemability of the Past: Determinants of Reconciliation and Revenge in Post-Conflict Settings
By: Kristen Kao, Kristin Fabbe and Michael Bang Petersen
In the aftermath of violent conflict, identifying former enemy collaborators versus
innocent bystanders forced to flee violence is difficult. In post-conflict settings,
internally displaced persons (IDPs) risk becoming stigmatized and face difficulties...
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Keywords:
Conflict and Resolution;
War;
Refugees;
Moral Sensibility;
Behavior;
Public Opinion;
Lawfulness;
Iraq
Kao, Kristen, Kristin Fabbe, and Michael Bang Petersen. "The Irredeemability of the Past: Determinants of Reconciliation and Revenge in Post-Conflict Settings." Harvard Business School Working Paper, No. 24-011, August 2023.