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- 2023
- Working Paper
Is Pay Transparency Good?
By: Zoë Cullen
Countries around the world are designing pay transparency policies with the intention of combating pay discrimination. Are these policies working as intended? Most focus on revealing pay gaps between co-workers within a firm, with the goal of arming workers with...
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Keywords:
Pay Transparency;
Trends;
Transition;
Communication Strategy;
Wages;
Policy;
Europe;
North America;
Australia
- 2023
- Working Paper
Summarizing the Mental Customer Journey
By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Pechthida Kim and Tomer Ullman
How do consumers summarize and act on their experiences, as when deciding whether an interaction with a firm was satisfying and whether to buy from it? Previous work on the summary of continuous experiences has tended to focus on a handful of experience patterns and...
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- 2023
- Working Paper
Job Design and Workers’ Wellbeing: Evidence from a Hospital Setting
By: Susanna Gallani and Jacob Riegler
This study examines the relationship between job design imbalance and workers’ well-being. We build on Simons (2005) framework for the design of high-performing jobs and develop a survey instrument to capture workers’ perceptions of their job design and work...
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- January 2023
- Article
Racial Diversity and Racial Policy Preferences: The Great Migration and Civil Rights
By: Alvaro Calderon, Vasiliki Fouka and Marco Tabellini
Between 1940 and 1970, more than 4 million African Americans moved from the South to the North of the United States, during the Second Great Migration. This same period witnessed the struggle and eventual success of the civil rights movement in ending institutionalized...
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Keywords:
Civil Rights;
Great Migration;
History;
Race;
Rights;
Prejudice and Bias;
Government Legislation
- 2022
- Working Paper
Institutional Emplacement and the Novel Resurgence of Independent Bookstores
By: Ryan Raffaelli and Ryann Noe
This study reveals how actors leverage physical place as an asset to facilitate organizational
adaptation and industry evolution. Through a longitudinal, qualitative analysis of the U.S.
independent bookselling industry from 1995 to 2019, we outline how dispersed...
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- 2022
- Working Paper
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
Predictive model development is understudied despite its importance to modern businesses. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms) as the primary driver of model quality, the value of tools...
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Keywords:
Analytics and Data Science
- 2022
- Working Paper
Demand-and-Supply Imbalance Risk and Long-Term Swap Spreads
By: Samuel G. Hanson, Aytek Malkhozov and Gyuri Venter
We develop and test a model in which swap spreads are determined by end users' demand for and constrained intermediaries' supply of long-term interest rate swaps. Swap spreads reflect compensation both for using scarce intermediary capital and for bearing convergence...
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- 2022
- Article
Flatten the Curve: Efficiently Training Low-Curvature Neural Networks
By: Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju and Francois Fleuret
Standard deep neural networks often have excess non-linearity, making them susceptible to issues such as low adversarial robustness and gradient instability. Commonmethods to address these downstream issues, such as adversarial training, are expensive and often...
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- 2022
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
We empirically analyze how managerial overrides to a commercial algorithm that forecasts demand and schedules labor affect store performance. We analyze administrative data from a large grocery retailer that utilizes a commercial algorithm to forecast demand and...
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- 2022
- Working Paper
Improving Human-Algorithm Collaboration: Causes and Mitigation of Over- and Under-Adherence
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have “private” information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by...
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- 2022
- Article
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations
By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This...
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- November 22, 2022
- Article
Is Novel Research Worth Doing? Evidence from Peer Review at 49 Journals
By: Misha Teplitskiy, Hao Peng, Andrea Blasco and Karim R. Lakhani
There are long-standing concerns that peer review, which is foundational to scientific institutions like journals and funding agencies, favors conservative ideas over novel ones. We investigate the association between novelty and the acceptance of manuscripts submitted...
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- 2022
- Article
A Human-Centric Take on Model Monitoring
By: Murtuza Shergadwala, Himabindu Lakkaraju and Krishnaram Kenthapadi
Predictive models are increasingly used to make various consequential decisions in high-stakes domains such as healthcare, finance, and policy. It becomes critical to ensure that these models make accurate predictions, are robust to shifts in the data, do not rely on...
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- November 2022
- Article
Hate Crime Towards Minoritized Groups Increases as They Increase in Sized-Based Rank
By: Mina Cikara, Vasiliki Fouka and Marco Tabellini
People are on the move in unprecedented numbers within and between countries. How does demographic change affect local intergroup dynamics? In complement to accounts that emphasize stereotypical features of groups as determinants of their treatment, we propose the...
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Keywords:
Prejudice;
Minority;
Hate Crimes;
Reference Dependence;
Prejudice and Bias;
Attitudes;
Demographics
- November 2022
- Article
The Sharp Spikes of Poverty: Financial Scarcity Is Related to Higher Levels of Distress Intensity in Daily Life
By: Jon M. Jachimowicz, Erin L. Frey, Sandra C. Matz, Bertus F. Jeronimus and Adam D. Galinsky
Although income is an important predictor of life satisfaction, the precise forces that drive this relationship remain unclear. We propose that financial resources afford individuals a path to reducing the distressing impact of everyday hassles, in turn increasing...
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Keywords:
Distress;
Affect;
Control;
Financial Scarcity;
Life Satisfaction;
Income;
Poverty;
Well-being
- October 2022 (Revised December 2022)
- Case
SMART: AI and Machine Learning for Wildlife Conservation
By: Brian Trelstad and Bonnie Yining Cao
Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife...
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- October 17, 2022
- Article
Relational Diversity in Social Portfolios Predicts Well-Being
We document a link between the relational diversity of one’s social portfolio—the richness and evenness of relationship types across one’s social interactions—and well-being. Across four distinct samples, respondents from the United States who completed a preregistered...
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- Working Paper
Representation and Extrapolation: Evidence from Clinical Trials
By: Marcella Alsan, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein and Heidi L. Williams
This article examines the consequences and causes of low enrollment of Black patients in clinical
trials. We develop a simple model of similarity-based extrapolation that predicts that evidence is
more relevant for decision-making by physicians and patients when it...
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- October 2022
- Article
Revisiting Extraversion and Leadership Emergence: A Social Network Churn Perspective
By: Blaine Landis, Jon M. Jachimowicz, Dan J. Wang and Robert W. Krause
One of the classic relationships in personality psychology is that extraversion is associated with emerging as an informal leader. However, recent findings raise questions about the longevity of extraverted individuals as emergent leaders. Here, we adopt a social...
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- October 2022
- Article
Underestimating Counterparts' Learning Goals Impairs Conflictual Conversations
By: Hanne K. Collins, Charles A. Dorison, Francesca Gino and Julia A. Minson
Given the difficulty people have engaging with disagreeing views across contexts—from political discussions to workplace conflicts—it is critical to understand how conflictual conversation can be improved. While previous work has focused on strategies to change...
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