Publications

March 2011
Supplement

The Future of BioPasteur -- Supplement

By: Giovanni Gavetti and Francesca Gino

The purpose of this exercise is to let students experience a few biases that can be deleterious to strategic decision-making. In particular, students are induced to fall into a confirmatory trap, and to experience other biases such as anchoring and sampling bias.... View Details

Keywords: Decision Making; Problems and Challenges; Prejudice and Bias

March 2011
Supplement

BioPasteur: Instructions for the group discussion

By: Giovanni Gavetti and Francesca Gino

The purpose of this exercise is to let students experience a few biases that can be deleterious to strategic decision-making. In particular, students are induced to fall into a confirmatory trap, and to experience other biases such as anchoring and sampling bias.... View Details

Keywords: Decision Making; Groups and Teams; Prejudice and Bias; Strategy

17 May 2018
Sharpening Your Skills

You Probably Have a Bias for Making Bad Decisions. Here's Why.

audience of the day with the president, believing the last idea he hears is the one most likely to be chosen. If true, the president is no better or worse than most of us in allowing cognitive biases to cloud our thinking. We are, for... View Details

Keywords: by Sean Silverthorne

2022
Working Paper

Confidence, Self-Selection and Bias in the Aggregate

By: Benjamin Enke, Thomas Graeber and Ryan Oprea

The influence of behavioral biases on aggregate outcomes like prices and allocations depends in part on self-selection: whether rational people opt more strongly into aggregate interactions than biased individuals. We conduct a series of betting market, auction and... View Details

Keywords: Prejudice and Bias; Cognition and Thinking; Markets; Price

Co-authored by Feng Zhu

Which source of information contains greater bias and slant-text written by an expert or that constructed via collective intelligence? Do the costs of acquiring, storing, displaying, and revising information shape those... View Details

15 Mar 2013
News

Take Your 'Emotional Temperature' Before Making Decisions

May 2021
Article

Ideology and Composition Among an Online Crowd: Evidence From Wikipedians

By: Shane Greenstein, Grace Gu and Feng Zhu

Online communities bring together participants from diverse backgrounds and often face challenges in aggregating their opinions. We infer lessons from the experience of individual contributors to Wikipedia articles about U.S. politics. We identify two factors that... View Details

Keywords: User Segregation; Online Community; Contested Knowledge; Collective Intelligence; Ideology; Bias; Wikipedia; Knowledge Sharing; Perspective; Government and Politics

13 Apr 2021
News

The Small Ways Working Moms Are Scaling Back Will Cost Them Nearly $2 Trillion

December 2011 (Revised July 2013)
Background Note

Hypothesis-Driven Entrepreneurship: The Lean Startup

By: Thomas Eisenmann, Eric Ries and Sarah Dillard

Firms that follow a hypothesis-driven approach to evaluating entrepreneurial opportunity are called "lean startups." Entrepreneurs in these startups translate their vision into falsifiable business model hypotheses, then test the hypotheses using a series of "minimum... View Details

Keywords: Entrepreneurship; Business Startups

Educators

16 Feb 2021
Working Paper Summaries

Bollywood, Skin Color, and Sexism: The Role of the Film Industry in Emboldening and Contesting Stereotypes in India after Independence

Keywords: by Sudev Sheth, Geoffrey Jones, and Morgan Spencer; Media & Broadcasting

Article

Price and Quality Decisions by Self-Serving Managers

By: Marco Bertini, Daniel Halbheer and Oded Koenigsberg

We present a theory of price and quality decisions by managers who are self-serving. In the theory, firms stress the price or quality of their products, but not both. Accounting for this, managers exploit any uncertainty about the cause of market outcomes to credit... View Details

Keywords: Causal Reasoning; Self-serving Bias; Strategic Orientation; Managerial Decision-making; Price; Quality; Decision Making; Theory

November–December 2019
Article

Making Sense of Soft Information: Interpretation Bias and Loan Quality

By: Dennis Campbell, Maria Loumioti and Regina Wittenberg Moerman

We explore whether behavioral biases impede the effective processing and interpretation of soft information in private lending. Taking advantage of the internal reporting system of a large federal credit union, we delineate three important biases likely to affect the... View Details

Keywords: Soft Information; Lending; Banking; Information; Financing and Loans; Banks and Banking; Decision Making

25 Oct 2016
News

Wikipedia is fixing one of the Internet’s biggest flaws

07 Jun 2019
Working Paper Summaries

Reflexivity in Credit Markets

Keywords: by Robin Greenwood, Samuel G. Hanson, and Lawrence J. Jin

June 2023
Article

Amplification of Emotion on Social Media

By: Amit Goldenberg and Robb Willer

Why do expressions of emotion seem so heightened on social media? Brady et al. argue that extreme moral outrage on social media is not only driven by the producers and sharers of emotional expressions, but also by systematic biases in the way people that perceive moral... View Details

Keywords: Emotion; Perception; Prejudice and Bias; Emotions; Social Media

June 2013
Article

Opting-in: Participation Bias in Economic Experiments

By: Robert Slonim, Carmen Wang, Ellen Garbarino and Danielle Merrett

Assuming individuals rationally decide whether to participate or not to participate in lab experiments, we hypothesize several non-representative biases in the characteristics of lab participants. We test the hypotheses by first collecting survey and experimental data... View Details

Keywords: Participation Bias; Laboratory Experiments; Prejudice and Bias; Research

2015
Working Paper

Expertise vs. Bias in Evaluation: Evidence from the NIH

By: Danielle Li

Evaluators with expertise in a particular field may have an informational advantage in separating good projects from bad. At the same time, they may also have personal preferences that impact their objectivity. This paper develops a framework for separately identifying... View Details

Keywords: Prejudice and Bias; Performance Evaluation; Experience and Expertise

12 Oct 2021
News

AI Can Bring More Equity To The Workplace And Consumer Markets By Implementing These Conditions

August 2020
Article

Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation

By: Prithwiraj Choudhury, Evan Starr and Rajshree Agarwal

The use of machine learning (ML) for productivity in the knowledge economy requires considerations of important biases that may arise from ML predictions. We define a new source of bias related to incompleteness in real time inputs, which may result from strategic... View Details

Keywords: Machine Learning; Bias; Human Capital; Management; Strategy