Publications

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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... View Details

Keywords: Mathematical Methods; Integration; Goals and Objectives; Decision Choices and Conditions; Problems and Challenges; Business Processes; Customers; Behavior; Economics

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... View Details

Keywords: Environmental Sustainability; Governing Rules, Regulations, and Reforms; Programs; Governance Compliance; Corporate Disclosure; Law Enforcement

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... View Details

Keywords: Self-other Difference; Social Perception; Inference-making; Preferences; Consumer Behavior; Prediction; Prediction Error; Decision Choices and Conditions; Perception; Behavior; Forecasting and Prediction

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... View Details

Keywords: Pricing Decisions; Cost; Information; Price; Decision Making

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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.... View Details

Keywords: Machine Learning; Algorithms; Fairness; Mathematical Methods

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... View Details

Keywords: Decision Making; Cognition and Thinking; Judgments; Research; Problems and Challenges

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,... View Details

Keywords: Mathematical Methods; Performance Evaluation; Air Transportation Industry; United States

Forthcoming
Article

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... View Details

Keywords: Mathematical Methods; Analytics and Data Science

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... View Details

Keywords: Early Childhood Education; Secondary Education; Middle School Education; Family and Family Relationships; Welfare; Chile

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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... View Details

Keywords: Cognitive Biases; Incentives; Motivation and Incentives; Decision Making; Performance

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... View Details

Keywords: Decision Choices and Conditions; Microeconomics; Mathematical Methods; Behavioral Finance

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24 Nov 2010
Working Paper Summaries

Valuation When Cash Flow Forecasts Are Biased

Keywords: by Richard S. Ruback

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

Keywords: Machine Learning; Fairness; AI and Machine Learning

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... View Details

Keywords: Conflict and Resolution; War; Refugees; Moral Sensibility; Behavior; Public Opinion; Lawfulness; Iraq

December 2023
Article

When Should the Off-Grid Sun Shine at Night? Optimum Renewable Generation and Energy Storage Investments

By: Christian Kaps, Simone Marinesi and Serguei Netessine

Globally, 1.5 billion people live off the grid, their only access to electricity often limited to operationally-expensive fossil fuel generators. Solar power has risen as a sustainable and less costly option, but its generation is variable during the day and... View Details

Keywords: Energy; Renewable Energy