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      • May 29, 2022
      • Article

      Pourquoi le business model des plateformes est-il si performant? [Why Is the Platform Business Model So Successful?]

      By: Annabelle Gawer, Michael A. Cusumano and David B. Yoffie
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      Gawer, Annabelle, Michael A. Cusumano, and David B. Yoffie. "Pourquoi le business model des plateformes est-il si performant? [Why Is the Platform Business Model So Successful?]." Harvard Business Review France (website) (May 29, 2022).
      • May 2022
      • Case

      Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models

      By: Tsedal Neeley and Stefani Ruper
      Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that she accepted your resignation.” Heart... View Details
      Keywords: Ethics; Employment; Corporate Social Responsibility and Impact; Technological Innovation
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      Neeley, Tsedal, and Stefani Ruper. "Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models." Harvard Business School Case 422-085, May 2022.
      • Article

      Do the Right Firms Survive Bankruptcy?

      By: Samuel Antill
      In U.S. Chapter 11 bankruptcy cases, firms are either reorganized, acquired, or liquidated. I show that decisions to liquidate often reduce creditor recovery, costing creditors billions of dollars every year. I exploit the within-district random assignment of... View Details
      Keywords: Bankruptcy; Bankruptcy Reorganization; Recovery Rate; Structural Estimation; Roy Model; 363 Sales; Insolvency and Bankruptcy; Governing Rules, Regulations, and Reforms
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      Antill, Samuel. "Do the Right Firms Survive Bankruptcy?" Journal of Financial Economics 144, no. 2 (May 2022): 523–546.
      • 2022
      • Article

      Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.

      By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
      As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a... View Details
      Keywords: Machine Learning Models; Counterfactual Explanations; Adversarial Examples; Mathematical Methods
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      Pawelczyk, Martin, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, and Himabindu Lakkaraju. "Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
      • 2022
      • Working Paper

      On the Estimation of Demand-Based Asset Pricing Models

      By: Philippe van der Beck
      A growing literature uses portfolio holdings data to quantify the impact of investor demand on equilibrium prices via counterfactual experiments. The key parameter in relating demand and equilibrium prices is investors’ elasticity of demand with respect to the price.... View Details
      Keywords: Price; Investment Portfolio; Institutional Investing; Financial Instruments
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      van der Beck, Philippe. "On the Estimation of Demand-Based Asset Pricing Models." Swiss Finance Institute Research Paper Series, No. 22-67, May 2022.
      • 2022
      • Working Paper

      Small Campaign Donors

      By: Laurent Bouton, Julia Cagé, Edgard Dewitte and Vincent Pons
      In this paper, we study the characteristics and behavior of small donors, and compare them to those of large donors. We first build a novel dataset including all the 340 million individual contributions reported to the U.S. Federal Election Commission between 2005 and... View Details
      Keywords: Campaign Finance; Campaign Contributions; Small Donations; ActBlue; WinRed; TV Advertising; Political Elections; Finance; Demographics; Advertising; Analysis; Analytics and Data Science
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      Bouton, Laurent, Julia Cagé, Edgard Dewitte, and Vincent Pons. "Small Campaign Donors." NBER Working Paper Series, No. 30050, May 2022.
      • Article

      Undisclosed Debt Sustainability

      By: Laura Alfaro and Fabio Kanczuk
      Over the past decade, non-Paris Club creditors, notably China, have become an important source of financing for low- and middle-income countries. In contrast with typical sovereign debt, these lending arrangements are not public, and other creditors have no information... View Details
      Keywords: Paris Club; Transparency; Sovereign Finance; Borrowing and Debt; International Finance
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      Alfaro, Laura, and Fabio Kanczuk. "Undisclosed Debt Sustainability." AEA Papers and Proceedings 112 (May 2022): 521–525.
      • May 2022
      • Article

      When Harry Fired Sally: The Double Standard in Punishing Misconduct

      By: Mark Egan, Gregor Matvos and Amit Seru
      We examine gender differences in misconduct punishment in the financial advisory industry. We find evidence of a “gender punishment gap”: following an incident of misconduct, female advisers are 20% more likely to lose their jobs and 30% less likely to find new jobs... View Details
      Keywords: Financial Advisers; Brokers; Gender Discrimination; Consumer Finance; Financial Misconduct And Fraud; FINRA; Financial Institutions; Employees; Crime and Corruption; Gender; Prejudice and Bias; Personal Finance; Financial Services Industry
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      Egan, Mark, Gregor Matvos, and Amit Seru. "When Harry Fired Sally: The Double Standard in Punishing Misconduct." Journal of Political Economy 130, no. 5 (May 2022): 1184–1248.
      • April 2022
      • Supplement

      Mastercard Labs (B)

      By: Linda A. Hill, Sunil Gupta, Emily Tedards and Julia Kelley
      When Ajaypal (Ajay) Banga became the CEO of Mastercard in 2010, digital technologies were on the rise, and innovation needed to become a strategic imperative at the company. Banga tasked Garry Lyons, who had joined Mastercard through the 2009 acquisition of Orbiscom,... View Details
      Keywords: Organizational Behavior; Culture; Transformation; Organizational Culture; Culture Change; Organizational Adaptation; Organizational Effectiveness; Alignment; Leadership; Leadership Development; Innovation; Innovation Ecosystems; Diversity; Collaboration; Co-creation; Learning Organizations; Empowerment; Ecosystem; Agility; Prototype; Experiment; Partnerships; Operating Model; Risk Management; Digital Transformation; Metrics; Payments; Financial Industry; Financial Inclusion; Ambidexterity; Corporate Innovation; Innovation Lab; Accelerator; Start-up; Fintech
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      Hill, Linda A., Sunil Gupta, Emily Tedards, and Julia Kelley. "Mastercard Labs (B)." Harvard Business School Supplement 422-081, April 2022.
      • April 2022 (Revised August 2022)
      • Case

      Conflicts of Interest at Uptown Bank

      By: Jonas Heese
      In 2013, two employees debated whether to blow the whistle on their employer, Bell Bank, after completing an internal review that revealed undisclosed conflicts of interest. Bell Bank’s Asset Management business disproportionately invested clients’ money in Bell Bank’s... View Details
      Keywords: Whistleblower; Whistleblowing; Mutual Funds; Conflicts Of Interest; Decision Making; Decisions; Judgments; Ethics; Moral Sensibility; Values and Beliefs; Finance; Financial Institutions; Banks and Banking; Financial Management; Investment; Investment Funds; Governance; Corporate Accountability; Corporate Disclosure; Corporate Governance; Governance Compliance; Governance Controls; Policy; Law; Legal Liability; Social Psychology; Motivation and Incentives; Perception; Perspective; Trust; Financial Services Industry; North and Central America; United States
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      Heese, Jonas. "Conflicts of Interest at Uptown Bank." Harvard Business School Case 122-022, April 2022. (Revised August 2022.)
      • April 12, 2022
      • Article

      Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States

      By: Estee Y. Cramer, Evan L. Ray, Velma K. Lopez, Johannes Bracher, Andrea Brennen, Alvaro J. Castro Rivadeneira, Michael Lingzhi Li and et al.
      Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models... View Details
      Keywords: COVID-19; Forecasting and Prediction; Health Pandemics; Mathematical Methods; Partners and Partnerships
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      Cramer, Estee Y., Evan L. Ray, Velma K. Lopez, Johannes Bracher, Andrea Brennen, Alvaro J. Castro Rivadeneira, Michael Lingzhi Li, and et al. "Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States." e2113561119. Proceedings of the National Academy of Sciences 119, no. 15 (April 12, 2022). (See full author list here.)
      • April 2022 (Revised May 2022)
      • Case

      Mastercard Labs (A)

      By: Linda A. Hill, Sunil Gupta, Emily Tedards and Julia Kelley
      When Ajaypal (Ajay) Banga became the CEO of Mastercard in 2010, he shifted the company’s competitive focus from card networks to cash itself. Mastercard’s new vision of a “World Beyond Cash” distilled into a three-pronged framework: Grow the core business, Diversify... View Details
      Keywords: Organizational Behavior; Culture; Culture Change; Organizational Adaptation; Organizational Effectiveness; Alignment; Leadership; Leadership Development; Innovation; Innovation Ecosystems; Ecosystem; Diversity; Collaboration; Co-creation; Learning Organizations; Empowerment; Globalization; Agility; Prototype; Experiment; Partnerships; Operating Model; Risk Management; Metrics; Payments; Financial Inclusion; Financial Industry; Ambidexterity; Corporate Innovation; Innovation Lab; Digital Transformation; Digital Strategy; Credit Cards; Innovation Leadership; Organizational Culture
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      Hill, Linda A., Sunil Gupta, Emily Tedards, and Julia Kelley. "Mastercard Labs (A)." Harvard Business School Case 422-080, April 2022. (Revised May 2022.)
      • April 2022 (Revised May 2022)
      • Case

      Mastercard Labs (A) (Abridged)

      By: Linda A. Hill, Sunil Gupta, Emily Tedards and Julia Kelley
      When Ajaypal (Ajay) Banga became the CEO of Mastercard in 2010, he shifted the company’s competitive focus from card networks to cash itself. Mastercard’s new vision of a “World Beyond Cash” distilled into a three-pronged framework: Grow the core business, Diversify... View Details
      Keywords: Organizational Behavior; Culture; Organizational Culture; Culture Change; Organizational Adaptation; Organizational Effectiveness; Alignment; Leadership; Leadership Development; Innovation; Innovation Ecosystems; Diversity; Collaboration; Co-creation; Learning Organizations; Empowerment; Ecosystem; Agility; Prototype; Experiment; Partnerships; Operating Model; Risk Management; Metrics; Payments; Financial Inclusion; Financial Industry; Ambidexterity; Corporate Innovation; Innovation Lab; Accelerator; Start-up; Intrapreneurship; Competitive Strategy; Business Model; Technological Innovation; Growth and Development Strategy; Digital Transformation
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      Hill, Linda A., Sunil Gupta, Emily Tedards, and Julia Kelley. "Mastercard Labs (A) (Abridged)." Harvard Business School Case 422-082, April 2022. (Revised May 2022.)
      • April 6, 2022
      • Article

      5 Principles of Purposeful Leadership

      By: Hubert Joly
      The traditional model of the leader-hero who saves the day, knows it all, is the smartest person in the room, and is too often driven by power, fame, glory, or money is not appropriate in today’s environment. People today expect a different kind of leader. While each... View Details
      Keywords: Leadership, Personal Strategy & Style; Purpose; Roles; Authenticity; Leadership; Values and Beliefs; Leadership Style
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      Joly, Hubert. "5 Principles of Purposeful Leadership." Harvard Business Review Digital Articles (April 6, 2022).
      • 2022
      • Working Paper

      A Linear Panel Model with Heterogeneous Coefficients and Variation in Exposure

      By: Jesse M. Shapiro and Liyang Sun
      Linear panel models featuring unit and time fixed effects appear in many areas of empirical economics. An active literature studies the interpretation of the ordinary least squares estimator of the model, commonly called the two-way fixed effects (TWFE) estimator, in... View Details
      Keywords: Econometric Models; Mathematical Methods
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      Shapiro, Jesse M., and Liyang Sun. "A Linear Panel Model with Heterogeneous Coefficients and Variation in Exposure." NBER Working Paper Series, No. 29976, April 2022.
      • April–June 2022
      • Other Article

      Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'

      By: Edward McFowland III
      There has been a substantial discussion in various methodological and applied literatures around causal inference; especially in the use of machine learning and statistical models to understand heterogeneity in treatment effects and to make optimal decision... View Details
      Keywords: Causal Inference; Treatment Effect Estimation; Treatment Assignment Policy; Human-in-the-loop; Decision Making; Fairness
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      McFowland III, Edward. "Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'." INFORMS Journal on Data Science 1, no. 1 (April–June 2022): 21–22.
      • 2022
      • Chapter

      Prioritarianism and Optimal Taxation

      By: Matti Tuomala and Matthew Weinzierl
      Prioritarianism has been at the center of the formal approach to optimal tax theory since its modern starting point in Mirrlees (1971), but most theorists’ use of it is motivated by tractability rather than explicit normative reasoning. We characterize analytically and... View Details
      Keywords: Prioritarianism; Optimal Taxation; Utilitarianism; Redistribution; Inverse-optimum; Taxation; Theory; Policy
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      Tuomala, Matti, and Matthew Weinzierl. "Prioritarianism and Optimal Taxation." In Prioritarianism in Practice, edited by Matthew Adler and Ole Norheim. Cambridge University Press, 2022. (Also published in HBR Insights, December 2020.)
      • 2023
      • Working Paper

      Can Evidence-Based Information Shift Preferences Towards Trade Policy?

      By: Laura Alfaro, Maggie X. Chen and Davin Chor
      Amid public skepticism about trade, we investigate whether evidence-based information--a concise statement of a research finding--can shape preferences towards trade policy. Across survey experiments conducted over 2018-2022 on U.S. general population samples, we... View Details
      Keywords: Evidence; Preference; Trade Policy; Information; Trade; Policy; Attitudes
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      Alfaro, Laura, Maggie X. Chen, and Davin Chor. "Can Evidence-Based Information Shift Preferences Towards Trade Policy?" Harvard Business School Working Paper, No. 22-062, March 2022. (Revised October 2024. NBER Working Paper Series, No. 31240, May 2023)
      • March 2022 (Revised January 2025)
      • Technical Note

      Linear Regression

      By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
      This note provides an overview of linear regression for an introductory data science course. It begins with a discussion of correlation, and explains why correlation does not necessarily imply causation. The note then describes the method of least squares, and how to... View Details
      Keywords: Data Science; Linear Regression; Mathematical Modeling; Mathematical Methods; Analytics and Data Science
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      Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Linear Regression." Harvard Business School Technical Note 622-100, March 2022. (Revised January 2025.)
      • March 2022 (Revised January 2025)
      • Technical Note

      Prediction & Machine Learning

      By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
      This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional... View Details
      Keywords: Machine Learning; Data Science; Learning; Analytics and Data Science; Performance Evaluation; AI and Machine Learning
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      Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Prediction & Machine Learning." Harvard Business School Technical Note 622-101, March 2022. (Revised January 2025.)
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