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  • 2014
  • Other Unpublished Work

Nudging Physicians to Pursue Careers in Underserved Areas: A Case for Behavioral Economics

By: Joseph Lopez, Mona Singh, Nava Ashraf and Joel Weissman
Currently, more than 60 million Americans live in "Health Professional Shortage Areas." Unless policymakers can encourage more physicians to practice in medically under-resourced areas, an increased number of uninsured individuals newly able to obtain health insurance... View Details
Keywords: Access To Care; Health Economics; Health Reform; Minority Health; Disparities; Health Care and Treatment; Health Industry
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Lopez, Joseph, Mona Singh, Nava Ashraf, and Joel Weissman. "Nudging Physicians to Pursue Careers in Underserved Areas: A Case for Behavioral Economics." (Working Paper, February 2014. Under review.)
  • 2021
  • Working Paper

How Much Should We Trust Staggered Difference-In-Differences Estimates?

By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
Difference-in-differences analysis with staggered treatment timing is frequently used to assess the impact of policy changes on corporate outcomes in academic research. However, recent advances in econometric theory show that such designs are likely to be biased in the... View Details
Keywords: Difference In Differences; Staggered Difference-in-differences Designs; Generalized Difference-in-differences; Dynamic Treatment Effects; Mathematical Methods
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Baker, Andrew C., David F. Larcker, and Charles C.Y. Wang. "How Much Should We Trust Staggered Difference-In-Differences Estimates?" European Corporate Governance Institute Finance Working Paper, No. 736/2021, February 2021. (Harvard Business School Working Paper, No. 21-112, April 2021.)
  • July 2014
  • Article

Winners in the Spotlight: Media Coverage of Fund Holdings as a Driver of Flows

By: David H. Solomon, Eugene F. Soltes and Denis Sosyura
We show that media coverage of mutual fund holdings affects how investors allocate money across funds. Controlling for fund performance, fund holdings with high past returns attract extra flows only if these stocks were recently featured in major newspapers. In... View Details
Keywords: Prejudice and Bias; Media; Investment Funds; Financial Services Industry
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Solomon, David H., Eugene F. Soltes, and Denis Sosyura. "Winners in the Spotlight: Media Coverage of Fund Holdings as a Driver of Flows." Journal of Financial Economics 113, no. 1 (July 2014): 53–72.
  • 2005
  • Working Paper

Letting Misconduct Slide: The Acceptability of Gradual Erosion in Others' Unethical Behavior

By: Francesca Gino and Max H. Bazerman
Four laboratory studies show that people are more likely to overlook others' unethical behavior when ethical degradation occurs slowly rather than in one abrupt shift. Participants served in the role of watchdogs charged with catching instances of cheating. The... View Details
Keywords: Ethics; Behavior; Crime and Corruption; Prejudice and Bias
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Gino, Francesca, and Max H. Bazerman. "Letting Misconduct Slide: The Acceptability of Gradual Erosion in Others' Unethical Behavior." Harvard Business School Working Paper, No. 06-007, August 2005. (Revised September 2006, February 2007, January 2009. Previously titled "Slippery Slopes and Misconduct: The Effect of Gradual Degradation on the Failure to Notice Others' Unethical Behavior.")
  • May 2022 (Revised June 2024)
  • Case

LOOP: Driving Change in Auto Insurance Pricing

By: Elie Ofek and Alicia Dadlani
John Henry and Carey Anne Nadeau, co-founders and co-CEOs of LOOP, an insurtech startup based in Austin, Texas, were on a mission to modernize the archaic $250 billion automobile insurance market. They sought to create equitably priced insurance by eliminating pricing... View Details
Keywords: AI and Machine Learning; Technological Innovation; Equality and Inequality; Prejudice and Bias; Growth and Development Strategy; Customer Relationship Management; Price; Insurance Industry; Financial Services Industry
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Ofek, Elie, and Alicia Dadlani. "LOOP: Driving Change in Auto Insurance Pricing." Harvard Business School Case 522-073, May 2022. (Revised June 2024.)
  • Summer 2025
  • Article

Are ESG Improvements Recognized? Perspectives from the Public Sentiments

By: Shaolong Wu
While Environment, Social, and Governance (ESG) increasingly guides investment management and corporate agendas nowadays, public reactions to firms' ESG performance remain under-studied. This paper fills this gap by investigating whether the public picks up firms' ESG... View Details
Keywords: Corporate Social Responsibility and Impact; Public Opinion; Environmental Sustainability; Corporate Governance; Investment
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Wu, Shaolong. "Are ESG Improvements Recognized? Perspectives from the Public Sentiments." Journal of Impact and ESG Investing 5, no. 4 (Summer 2025): 24–51.
  • 2012
  • Working Paper

Reaching for Yield in the Bond Market

By: Bo Becker and Victoria Ivashina
Reaching-for-yield—the propensity to buy riskier assets in order to achieve higher yields—is believed to be an important factor contributing to the credit cycle. This paper analyses this phenomenon in the corporate bond market. Specifically, we show evidence for... View Details
Keywords: Fixed Income; Reaching For Yield; Financial Intermediation; Insurance Companies; Insurance; Bonds; Assets; Risk Management; Investment Return; Investment Portfolio; Insurance Industry
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Becker, Bo, and Victoria Ivashina. "Reaching for Yield in the Bond Market." Harvard Business School Working Paper, No. 12-103, May 2012. (Revised December 2012. NBER Working Paper Series, No. 18909, March 2013)
  • December 2020
  • Supplement

Video Interview with Maxeme Tuchman

By: Rosabeth M. Kanter and Joyce J. Kim
Four diverse women entrepreneurs launched their ventures in a thriving entrepreneurial ecosystem that was part of a shift to a creative technology-driven economy for Miami. Although Miami was rated the #1 U.S. city for startups in 2017, the region contained structural... View Details
Keywords: Entrepreneurial Ecosystems; Female Entrepreneur; Racism; Sexism; Entrepreneurship; Business Startups; Diversity; Gender; Race; Prejudice and Bias; City; Culture; Miami
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Kanter, Rosabeth M., and Joyce J. Kim. "Video Interview with Maxeme Tuchman." Harvard Business School Multimedia/Video Supplement 321-702, December 2020.
  • October 2021
  • Article

Changing Gambling Behavior through Experiential Learning

By: Shawn A. Cole, Martin Abel and Bilal Zia
This paper tests experiential learning as a debiasing tool to reduce gambling in South Africa, through a randomized field experiment. The study implements a simple, interactive game that simulates the odds of winning the national lottery through dice rolling.... View Details
Keywords: Debiasing; Experiential Learning; Behavioral Economics; Financial Education; Learning; Games, Gaming, and Gambling; Behavior; Decision Making
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Cole, Shawn A., Martin Abel, and Bilal Zia. "Changing Gambling Behavior through Experiential Learning." World Bank Economic Review 35, no. 3 (October 2021): 745–763.
  • Article

Mitigating Bias in Adaptive Data Gathering via Differential Privacy

By: Seth Neel and Aaron Leon Roth
Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details
Keywords: Bandit Algorithms; Bias; Analytics and Data Science; Mathematical Methods; Theory
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Neel, Seth, and Aaron Leon Roth. "Mitigating Bias in Adaptive Data Gathering via Differential Privacy." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
  • Article

Fighting Bias on the Front Lines

By: Alexandra C. Feldberg and Tami Kim
Most companies aim for exceptional customer service, but too few are attentive to the subtle discrimination by frontline employees that can alienate customers, lead to lawsuits, or even cause lasting brand damage by going viral.
This article presents research... View Details
Keywords: Customer Service; Customer Focus and Relationships; Service Delivery; Diversity; Prejudice and Bias; Organizational Change and Adaptation
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Feldberg, Alexandra C., and Tami Kim. "Fighting Bias on the Front Lines." Harvard Business Review 99, no. 6 (November–December 2021): 90–98.
  • July 2024
  • Article

Acceptance of Automated Vehicles Is Lower for Self than Others

By: Stuti Agarwal, Julian De Freitas, Anya Ragnhildstveit and Carey K. Morewedge
Road traffic accidents are the leading cause of death worldwide for people aged 2–59. Nearly all deaths are due to human error. Automated vehicles could reduce mortality risks, traffic congestion, and air pollution of human-driven vehicles. However, their adoption... View Details
Keywords: Transportation; Risk and Uncertainty; Technology Adoption; Prejudice and Bias
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Agarwal, Stuti, Julian De Freitas, Anya Ragnhildstveit, and Carey K. Morewedge. "Acceptance of Automated Vehicles Is Lower for Self than Others." Journal of the Association for Consumer Research 9, no. 3 (July 2024): 269–281.
  • 2010
  • Article

The Ethical Mirage: A Temporal Explanation as to Why We Are Not as Ethical as We Think We Are

By: A. E. Tenbrunsel, K. Diekmann, K A. Wade-Benzoni and Max Bazerman
This paper explores the biased perceptions that people hold of their own ethicality. We argue that the temporal trichotomy of prediction, action and recollection is central to these misperceptions: People predict that they will behave more ethically than they actually... View Details
Keywords: Forecasting and Prediction; Values and Beliefs; Framework; Research; Behavior; Cognition and Thinking; Perception; Prejudice and Bias
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Tenbrunsel, A. E., K. Diekmann, K A. Wade-Benzoni, and Max Bazerman. "The Ethical Mirage: A Temporal Explanation as to Why We Are Not as Ethical as We Think We Are." Research in Organizational Behavior 30 (2010): 153–173.
  • Article

Your Visual System Provides All the Information You Need to Make Moral Judgments about Generic Visual Events

By: Julian De Freitas and George A. Alvarez
To what extent are people's moral judgments susceptible to subtle factors of which they are unaware? Here we show that we can change people’s moral judgments outside of their awareness by subtly biasing perceived causality. Specifically, we used subtle visual... View Details
Keywords: Moral Judgment; Perceived Causality; Visual Illusions; Moral Sensibility; Judgments
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De Freitas, Julian, and George A. Alvarez. "Your Visual System Provides All the Information You Need to Make Moral Judgments about Generic Visual Events." Cognition 178 (September 2018): 133–146.
  • December 2020
  • Supplement

Video Interview with Pandwe Gibson

By: Rosabeth M. Kanter and Joyce J. Kim
Four diverse women entrepreneurs launched their ventures in a thriving entrepreneurial ecosystem that was part of a shift to a creative technology-driven economy for Miami. Although Miami was rated the #1 U.S. city for startups in 2017, the region contained structural... View Details
Keywords: Female Entrepreneur; Entrepreneurial Ecosystems; Sexism; Racism; Entrepreneurship; Business Startups; Diversity; Gender; Race; Prejudice and Bias; City; Culture; Miami
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Kanter, Rosabeth M., and Joyce J. Kim. "Video Interview with Pandwe Gibson." Harvard Business School Multimedia/Video Supplement 321-704, December 2020.
  • Article

Risk Management—The Revealing Hand

By: Robert S. Kaplan and Anette Mikes
Many believe that the recent emphasis on enterprise risk management function is misguided, especially after the failure of sophisticated quantitative risk models during the global financial crisis. The concern is that top-down risk management will inhibit innovation... View Details
Keywords: Risk Management
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Kaplan, Robert S., and Anette Mikes. "Risk Management—The Revealing Hand." Journal of Applied Corporate Finance 28, no. 1 (Winter 2016): 8–18.
  • 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
Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
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Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
  • 2021
  • Chapter

Renewing the Relevance of IB: Can Some History Help?

By: Geoffrey Jones
International business (IB) as a discipline has given limited attention to contemporary grand challenges of inequality, global warming, aging populations, endemic health crises, and de-globalization, in all of which multinationals are either central to the problem or... View Details
Keywords: International Business; Globalization; History; Multinational Firms and Management
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Jones, Geoffrey. "Renewing the Relevance of IB: Can Some History Help?" Chap. 6 in The Multiple Dimensions of Institutional Complexity in International Business Research. Vol. 15, edited by Alain Verbeke, Rob van Tulder, Elizabeth L. Rose, and Yingqi Wei, 77–92. Progress in International Business Research. Bingley, United Kingdom: Emerald Publishing Limited, 2021.
  • November 2019
  • Article

How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework

By: Doug J. Chung, Byungyeon Kim and Byoung G. Park
This paper evaluates the short- and long-term value of sales representatives’ detailing visits to different types of physicians. By understanding the dynamic effect of sales calls across heterogeneous physicians, we provide guidance on the design of optimal call... View Details
Keywords: Nerlove-Arrow Framework; Stock-of-goodwill; Dynamic Panel Data; Serial Correlation; Instrumental Variables; Sales Effectiveness; Detailing; Analytics and Data Science; Sales; Analysis; Performance Effectiveness; Pharmaceutical Industry
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Chung, Doug J., Byungyeon Kim, and Byoung G. Park. "How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework." Management Science 65, no. 11 (November 2019): 5197–5218.
  • 12 Jul 2007
  • Working Paper Summaries

Toward a Theory of Behavioral Operations

Keywords: by Francesca Gino & Gary Pisano
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