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- 2024
- Working Paper
Global Evidence on Gender Gaps and Generative AI
By: Nicholas G. Otis, Solène Delecourt, Katelynn Cranney and Rembrand Koning
Generative AI has the potential to transform productivity and reduce inequality, but only if used broadly. In this paper, we show that recently identified gender gaps in AI use are nearly universal. Synthesizing evidence from 16 studies that surveyed 100,000... View Details
- January 2024
- Article
A Cost Model for a Low Threshold Clinic Treating Opioid Use Disorder
By: Sarah E. Wakeman, Elizabeth Powell, Syed Shehab, Grace Herman, Laura Kehoe and Robert S. Kaplan
The US fee-for-service payment system under-reimburses clinics offering access to comprehensive treatments for opioid use disorder (OUD). The funding shortfall limits a clinic’s ability to expand and improve access, especially for socially marginalized patients with... View Details
- 2023
- Working Paper
Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data
By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman
To mitigate information asymmetry about borrowers in developing economies, digital lenders utilize machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... View Details
- June 2023
- Article
The Salary Taboo: Privacy Norms and the Diffusion of Information
By: Zoë Cullen and Ricardo Perez-Truglia
The limited diffusion of salary information has implications for labor markets, such as wage discrimination policies and collective bargaining. Access to salary information is believed to be limited and unequal, but there is little direct evidence on the sources of... View Details
- 2023
- Working Paper
The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities
By: David S. Scharfstein and Sergey Chernenko
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
- 2022
- Working Paper
Credit and the Family: The Economic Consequences of Closing the Credit Gap of U.S. Couples
By: Olivia S. Kim
Closing disparities in credit access between spouses can help reduce consumption inequality in the household. The 2013 reversal of the Truth-in-Lending Act increased the borrowing capacity of secondary earners in equitable-distribution states but not in... View Details
- Article
Health Equity, Schooling Hesitancy, and the Social Determinants of Learning
By: Meira Levinson, Alan C. Geller, Joseph G. Allen and John D. Macomber
At least 62 million K-12 students in North America—disproportionately low-income children of color— have been physically out of school for over a year due to the COVID-19 pandemic. These children are at risk of significant academic, social, mental, and physical harm... View Details
- March 2020
- Article
Organizing Knowledge Production Teams Within Firms for Innovation
By: Vikas A. Aggarwal, David H. Hsu and Andy Wu
How should firms organize their pool of inventive human capital for firm-level innovation? While access to diverse knowledge may aid knowledge recombination, which can facilitate innovation, prior literature has focused primarily on one way of achieving that: diversity... View Details
- September 2019 (Revised December 2019)
- Case
Google: To TVC or Not to TVC?
By: William R. Kerr and Carl Kreitzberg
In late 2018, evidence emerged that many of Google’s temporary help agency workers, vendors, and independent contractors (“TVCs”) were unhappy with the company. TVCs, who reportedly made up 49.95% of Google’s 170,000-person global workforce, had raised concerns of... View Details
Keywords: Workforce; Independent Contractors; Talent Management; Silicon Valley; Google; Employee Attitude; Employee Compensation; Employee Engagement; Future Of Work; Innovation; Innovation And Strategy; Inequality; Talent Acquisition; Labor; Talent and Talent Management; Strategy; Technological Innovation; Employees; Attitudes; Innovation and Management; Human Resources; Equality and Inequality; Information Technology Industry; United States; San Francisco
- Spring 2019
- Article
Fluid Teams and Knowledge Retrieval: Scaling Service Operations
By: Melissa A. Valentine, Tom Fangyun Tan, Bradley R. Staats and Amy C. Edmondson
To scale service operations requires retrieving knowledge across the organization. However, prior work highlights that individuals on the periphery of organizational knowledge networks may struggle to access useful knowledge at work. A knowledge repository has the... View Details
- January 15, 2019
- Article
Is Your Company's Strategy Aligned with Your Ownership Model?
By: Josh Baron
The legacy of Vanguard founder John Bogle has brought attention to the transformative influence of ownership structures within the business world. Bogle's revolutionary insight into the limitations of active fund management led to the widespread adoption of index... View Details
- 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
- December 2018
- Article
Reserve Design: Unintended Consequences and the Demise of Boston's Walk Zones
By: Umut Dur, Scott Duke Kominers, Parag A. Pathak and Tayfun Sönmez
Admissions policies often use reserves to grant certain applicants higher priority for some (but not all) available seats. Boston’s school choice system, for example, reserved half of each school’s seats for local neighborhood applicants while leaving the other half... View Details
- 2018
- Article
What Can Managers Privately Disclose to Investors?
By: Eugene F. Soltes
Regulators have long been aware that differential access to information can undermine the efficiency and fairness of financial markets. In an effort to place investors on equal footing, the Securities and Exchange Commission in 2000 created Regulation Fair Disclosure... View Details
- May–June 2018
- Article
What Most People Get Wrong about Men and Women: Research Shows the Sexes Aren't So Different
By: Catherine H. Tinsley and Robin J. Ely
Why have women failed to achieve parity with men in the workplace? Contrary to popular belief, it’s not because women prioritize their families over their careers, negotiate poorly, lack confidence, or are too risk averse. Meta-analyses of published studies show that... View Details
- 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
- 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)
- February 2016
- Article
Unearned Status Gain: Evidence from a Global Language Mandate
By: Tsedal Neeley and Tracy Dumas
Theories of status rarely address unearned status gain—an unexpected and unsolicited increase in relative standing, prestige, or worth, attained not through individual effort or achievement, but from a shift in organizationally valued characteristics. We build theory... View Details
- Article
Caste and Entrepreneurship in India
By: Lakshmi Iyer, Tarun Khanna and Ashutosh Varshney
It is now widely accepted that the lower castes have risen in Indian politics. Has there been a corresponding change in the economy? Using comprehensive data on enterprise ownership from the Economic Censuses of 1990, 1998, and 2005, we document substantial caste... View Details
- 2017
- Working Paper
Inequality in Knowledge Repository Use in Scaling Service Operations
By: Melissa A. Valentine, Tom Fangyun Tan, Bradley R. Staats and Amy C. Edmondson
To scale service operations requires sharing knowledge across the organization. However, prior work highlights that individuals on the periphery of organizational knowledge sharing networks may struggle to access useful knowledge at work. A knowledge repository (KR)... View Details