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Publications
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- Faculty Publications (329)
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- October 2017 (Revised November 2017)
- Case
NYC311
By: Constantine E. Kontokosta, Mitchell Weiss, Christine Snively and Sarah Gulick
Joe Morrisroe, executive director for NYC311, had some gut instincts but no definitive answer to the question he was just asked by one of the mayor’s deputies: “Are some communities being underserved by 311? How do we know we are hearing from the right people?” Founded... View Details
Keywords: New York City; NYC; 311; NYC311; Big Data; Equal Access; Bias; Data Analysis; Public Entrepreneurship; Urban Informatics; Predictive Analytics; Chief Data Officer; Data Analytics; Cities; City Leadership; Analytics and Data Science; Analysis; Prejudice and Bias; Entrepreneurship; Public Sector; City; Public Administration Industry; New York (city, NY)
- October 2017
- Case
Still Leading (B10): Louis Gossett Jr.— A New Role Erasing Racism
By: Rosabeth Moss Kanter and Ai-Ling Jamila Malone
Louis (Lou) Gossett Jr.’s exemplary life included a groundbreaking career in entertainment and a bold and audacious goal to erase racism. From the Broadway stage to television and the movie screen, Gossett earned major accolades in his field, notably becoming the first... View Details
- 2017
- Working Paper
Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments
By: Daniel J. Benjamin, Don A. Moore and Matthew Rabin
This paper describes results of a pair of incentivized experiments on biases in judgments about random samples. Consistent with the Law of Small Numbers (LSN), participants exaggerated the likelihood that short sequences and random subsets of coin flips would be... View Details
- October 2017
- Article
The Size of the LGBT Population and the Magnitude of Anti-Gay Sentiment Are Substantially Underestimated
By: Katherine Baldiga Coffman, Lucas C. Coffman and Keith M. Marzilli Ericson
We demonstrate that widely used measures of anti-gay sentiment and the size of the LGBT population are misestimated, likely substantially. In a series of online experiments using a large and diverse but non-representative sample, we compare estimates from the standard... View Details
- July 2017 (Revised December 2018)
- Case
Populism in America: Fake News, Alternative Facts and Elite Betrayal in the Trump Era
By: Rafael Di Tella and Sarah McAra
During the 2016 U.S. election, long-time politician Hillary Clinton, a Democrat, and celebrity billionaire Donald Trump, a Republican, faced off in a contentious race for president. In the primaries, candidates from both major political parties used anti-establishment... View Details
- 2017
- Working Paper
Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Long-Term Performance
By: Diwas S. KC, Bradley R. Staats, Maryam Kouchaki and Francesca Gino
How individuals manage, organize, and complete their tasks is central to operations management. Recent research in operations focuses on how under conditions of increasing workload, individuals can increase their service time, up to a point, to complete work more... View Details
- June 2017
- Article
When Novel Rituals Lead to Intergroup Bias: Evidence from Economic Games and Neurophysiology
By: Nicholas M. Hobson, Francesca Gino, Michael I. Norton and Michael Inzlicht
Long-established rituals in pre-existing cultural groups have been linked to the cultural evolution of large-scale group cooperation. Here we test the prediction that novel rituals—arbitrary hand and body gestures enacted in a stereotypical and repeated fashion—can... View Details
- 2018
- Working Paper
How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections
By: Maria Ibanez and Michael W. Toffel
Many production processes are subject to inspection to ensure they meet quality, safety, and environmental standards imposed by companies and regulators. Inspection accuracy is critical to inspections being a useful input to assessing risks, allocating quality... View Details
- April–May 2017
- Article
Career Concerns of Banking Analysts
By: Joanne Horton, George Serafeim and Shan Wu
We study how career concerns influence banking analysts' forecasts and how their forecasting behavior benefits both them and bank managers. We show that banking analysts issue early in the year relatively more optimistic and later in the year more pessimistic forecasts... View Details
- Spring 2017
- Article
Globalizing Latin American Beauty
By: Geoffrey Jones
This article discusses the growth over time of the beauty industry in Latin America and its bias towards celebrating whiter rather than darker skin. Although alleged Latin American fascination with beauty is regularly ascribed to culture, Latin sensuousness, and... View Details
- Article
Normative Judgments and Individual Essence
By: Julian De Freitas, Kevin P. Tobia, George E. Newman and Joshua Knobe
A growing body of research has examined how people judge the persistence of identity over
time—that is, how they decide that a particular individual is the same entity from one time to the
next. While a great deal of progress has been made in understanding the types... View Details
Keywords: Concepts; Essentialism; Normative Factors; Persistence; True Self; Morality; Identity; Moral Sensibility; Perception
- Article
Deep Down My Enemy Is Good: Thinking about the True Self Reduces Intergroup Bias
By: Julian De Freitas and Mina Cikara
Intergroup bias—preference for one's in-group relative to out-groups—is one of the most robust phenomena in all of psychology. Here we investigate whether a positive bias that operates at the individual-level, belief in a good true self, may be leveraged to reduce... View Details
- 2016
- Working Paper
Meet the Oligarchs: Business Legitimacy, State Capacity and Taxation
By: Rafael Di Tella, Juan Dubra and Alejandro Lagomarsino
We analyze the role of people’s beliefs about the rich in the determination of public policy in the context of a randomized online survey experiment. A question we study is the desirability of government-private sector meetings, a variable we argue is connected to... View Details
- Article
Overcoming the Outcome Bias: Making Intentions Matter
People often make the well-documented mistake of paying too much attention to the outcomes of others’ actions while neglecting information about the original intentions leading to those outcomes. In five experiments, we examine interventions aimed at reducing this... View Details
- November 2016
- Article
Stereotypes
By: Pedro Bordalo, Katherine Baldiga Coffman, Nicola Gennaioli and Andrei Shleifer
We present a model of stereotypes based on Kahneman and Tversky's representativeness heuristic. A decision maker assesses a target group by overweighting its representative types, which we formally define to be the types that occur more frequently in that group than in... View Details
Keywords: Prejudice and Bias
- Summer 2016
- Article
Open Content, Linus' Law, and Neutral Point of View
By: Shane Greenstein and Feng Zhu
The diffusion of the Internet and digital technologies has enabled many organizations to use the open-content production model to produce and disseminate knowledge. While several prior studies have shown that the open-content production model can lead to high-quality... View Details
- 2016
- Working Paper
Experimental Evidence on Policies Aimed at Closing the Gender Gap in Willingness to Guess on Multiple-Choice Tests
Research has shown that women skip more questions than men on multiple-choice tests with penalties for wrong answers. We propose and test five policy changes aimed at eliminating this source of gender bias in test scores. Our data show that simply removing the penalty... View Details
- 2016
- Working Paper
Who Pays for White-Collar Crime?
By: Paul Healy and George Serafeim
Using a proprietary dataset of 667 companies around the world that experienced white-collar crime, we investigate what drives punishment of perpetrators of crime. We find a significantly lower propensity to punish crime in our sample, where most crimes are not reported... View Details
- May 2016
- Article
When Performance Trumps Gender Bias: Joint Versus Separate Evaluation
By: Iris Bohnet, Alexandra van Geen and Max Bazerman
We examine a new intervention to overcome gender biases in hiring, promotion, and job assignments: an "evaluation nudge," in which people are evaluated jointly rather than separately regarding their future performance. Evaluators are more likely to focus on individual... View Details
- Article
Learning from Potentially Biased Statistics: Household Inflation Perceptions and Expectations in Argentina
By: Alberto Cavallo, Guillermo Cruces and Ricardo Perez-Truglia
When forming expectations, households may be influenced by perceived bias in the information they receive. In this paper, we study how individuals learn from potentially biased statistics using data from both a natural experiment and a survey experiment during a... View Details