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    • All HBS Web  (697)
      • Faculty Publications  (79)

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      • March 2025
      • Case

      The Changing Climate on Wall Street

      By: Clayton S. Rose, Maxim Pike Harrell and Michael Norris
      Increasing and conflicting regulatory requirements and political pressures regarding climate change tested the leaders of U.S. financial institutions, as they struggled to determine how best to comply while managing their business and its risks. In October 2024,... View Details
      Keywords: Change; Disruption; Competency and Skills; Decision Making; Cost vs Benefits; Ethics; Governance; Corporate Accountability; Leadership; Management; Risk Management; Organizations; Corporate Social Responsibility and Impact; Mission and Purpose; Organizational Change and Adaptation; Organizational Culture; Society; Civil Society or Community; Social Issues; Strategy; Adaptation; Banking Industry; Financial Services Industry; Insurance Industry; United States; Europe
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      Rose, Clayton S., Maxim Pike Harrell, and Michael Norris. "The Changing Climate on Wall Street." Harvard Business School Case 325-020, March 2025.
      • November 2024
      • Supplement

      Epic Games: Nineteen Eighty-Fortnite (B)

      By: Andy Wu and Ronald Wang
      In a significant ruling on April 24, 2023, the U.S. Court of Appeals for the Ninth Circuit upheld portions of the district court’s decision against Epic Games back in September 2021. However, Apple’s anti-steering provisions, which restricted app developers from... View Details
      Keywords: Lawsuits and Litigation; Market Transactions; Applications and Software; Technology Industry; Video Game Industry
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      Wu, Andy, and Ronald Wang. "Epic Games: Nineteen Eighty-Fortnite (B)." Harvard Business School Supplement 725-400, November 2024.
      • November 2024
      • Article

      Perceptions About Monetary Policy

      By: Michael D. Bauer, Carolin Pflueger and Adi Sunderam
      We estimate perceptions about the Federal Reserve’s monetary policy rule from panel data on professional forecasts of interest rates and macroeconomic conditions. The perceived dependence of the federal funds rate on economic conditions varies substantially over time,... View Details
      Keywords: Monetary Policy; Policy; Interest Rates; Perception; Economy; Forecasting and Prediction
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      Bauer, Michael D., Carolin Pflueger, and Adi Sunderam. "Perceptions About Monetary Policy." Quarterly Journal of Economics 139, no. 4 (November 2024): 2227–2278.
      • Fall, 2024
      • Article

      Sixty Years of the Voting Rights Act: Progress and Pitfalls

      By: Andrea Bernini, Giovanni Facchini, Marco Tabellini and Cecilia Testa
      We review the literature on the effects of the 1965 Voting Rights Act (VRA), which removed formal restrictions to Black political participation. After a brief description of racial discrimination suffered by Black Americans since Reconstruction, we introduce the goals... View Details
      Keywords: Prejudice and Bias; Equality and Inequality; Race; Political Elections; Voting; Policy; Outcome or Result; Government Legislation
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      Bernini, Andrea, Giovanni Facchini, Marco Tabellini, and Cecilia Testa. "Sixty Years of the Voting Rights Act: Progress and Pitfalls." Oxford Review of Economic Policy 40, no. 3 (Fall, 2024): 486–497.
      • 2024
      • Working Paper

      Voting Rules, Turnout, and Economic Policies

      By: Enrico Cantoni, Vincent Pons and Jérôme Schäfer
      In recent years, voter ID laws and convenience voting have generated heated partisan debates. To shed light on these policy issues, we survey the recent evidence on the institutional determinants and effects of voter turnout and broaden the perspective beyond the most... View Details
      Keywords: Voting; Political Elections; Policy
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      Cantoni, Enrico, Vincent Pons, and Jérôme Schäfer. "Voting Rules, Turnout, and Economic Policies." NBER Working Paper Series, No. 32941, September 2024.
      • 2023
      • Working Paper

      Estimating Productivity in the Presence of Spillovers: Firm-Level Evidence from the U.S. Production Network

      By: Ebehi Iyoha
      This paper examines the extent to which productivity gains are transmitted across U.S. firms through buyer-supplier relationships. Many empirical studies measure firm-to-firm spillovers using firm-level productivity estimates derived from control function approaches.... View Details
      Keywords: Supply and Industry; Partners and Partnerships; Production
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      Iyoha, Ebehi. "Estimating Productivity in the Presence of Spillovers: Firm-Level Evidence from the U.S. Production Network." Harvard Business School Working Paper, No. 24-033, December 2023. (Winner of the Young Economists' Essay Award at the 2021 Annual Conference of the European Association for Research in Industrial Economics (EARIE))
      • 2023
      • Article

      Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten

      By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
      The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
      Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
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      Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
      • 2023
      • Article

      Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse

      By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
      As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details
      Keywords: AI and Machine Learning; Decision Choices and Conditions; Mathematical Methods
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      Pawelczyk, Martin, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci, and Himabindu Lakkaraju. "Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse." Proceedings of the International Conference on Learning Representations (ICLR) (2023).
      • April 2022
      • Article

      Does Context Outweigh Individual Characteristics in Driving Voting Behavior? Evidence from Relocations within the U.S.

      By: Enrico Cantoni and Vincent Pons
      We measure the overall influence of contextual versus individual factors (e.g., voting rules and media as opposed to race and education) on voter behavior, and explore underlying mechanisms. Using a U.S.-wide voter-level panel, 2008–18, we examine voters who relocate... View Details
      Keywords: Voting; Behavior; Geographic Location; Personal Characteristics; Situation or Environment; United States
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      Cantoni, Enrico, and Vincent Pons. "Does Context Outweigh Individual Characteristics in Driving Voting Behavior? Evidence from Relocations within the U.S." American Economic Review 112, no. 4 (April 2022): 1226–1272.
      • Article

      A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects

      By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
      We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public... View Details
      Keywords: Prescriptive Analytics; Heterogeneous Treatment Effects; Optimization; Observed Rank Utility Condition (OUR); Between-treatment Heterogeneity; Machine Learning; Decision Making; Analysis; Mathematical Methods
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      McFowland III, Edward, Sandeep Gangarapu, Ravi Bapna, and Tianshu Sun. "A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects." MIS Quarterly 45, no. 4 (December 2021): 1807–1832.
      • June 2021
      • Technical Note

      Introduction to Linear Regression

      By: Michael Parzen and Paul Hamilton
      This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical... View Details
      Keywords: Linear Regression; Regression; Analysis; Forecasting and Prediction; Risk and Uncertainty; Theory; Compensation and Benefits; Mathematical Methods; Analytics and Data Science
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      Parzen, Michael, and Paul Hamilton. "Introduction to Linear Regression." Harvard Business School Technical Note 621-086, June 2021.
      • 2021
      • Article

      To Thine Own Self Be True? Incentive Problems in Personalized Law

      By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers
      Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate... View Details
      Keywords: Personalized Law; Regulation; Regulatory Avoidance; Regulatory Arbitrage; Law And Economics; Law And Technology; Law And Artificial Intelligence; Futurism; Moral Hazard; Elicitation; Signaling; Privacy; Law; Governing Rules, Regulations, and Reforms; Information Technology; AI and Machine Learning
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      Barry, Jordan M., John William Hatfield, and Scott Duke Kominers. "To Thine Own Self Be True? Incentive Problems in Personalized Law." Art. 2. William & Mary Law Review 62, no. 3 (2021).
      • Article

      Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses

      By: Kaivalya Rawal and Himabindu Lakkaraju
      As predictive models are increasingly being deployed in high-stakes decision-making, there has been a lot of interest in developing algorithms which can provide recourses to affected individuals. While developing such tools is important, it is even more critical to... View Details
      Keywords: Predictive Models; Decision Making; Framework; Mathematical Methods
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      Rawal, Kaivalya, and Himabindu Lakkaraju. "Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
      • Article

      Robust and Stable Black Box Explanations

      By: Himabindu Lakkaraju, Nino Arsov and Osbert Bastani
      As machine learning black boxes are increasingly being deployed in real-world applications, there has been a growing interest in developing post hoc explanations that summarize the behaviors of these black boxes. However, existing algorithms for generating such... View Details
      Keywords: Machine Learning; Black Box Models; Framework
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      Lakkaraju, Himabindu, Nino Arsov, and Osbert Bastani. "Robust and Stable Black Box Explanations." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020): 5628–5638. (Published in PMLR, Vol. 119.)
      • September–October 2020
      • Article

      A New Model for Ethical Leadership

      By: Max Bazerman
      Rather than try to follow a set of simple rules (“Don’t lie.” “Don’t cheat.”), leaders and managers seeking to be more ethical should focus on creating the most value for society. This utilitarian view, Bazerman argues, blends philosophical thought with business school... View Details
      Keywords: Social Value; Leadership; Moral Sensibility; Ethics; Decision Making; Corporate Social Responsibility and Impact; Society
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      Bazerman, Max. "A New Model for Ethical Leadership." Harvard Business Review 98, no. 5 (September–October 2020): 90–97.
      • October 2020
      • Case

      PraDigi Open Learning: Transforming Rural India

      By: John J-H Kim and Malini Sen
      Pratham is a non-governmental organization, focusing on high-quality, low-cost and replicable interventions to address gaps in the Indian education system. Co-founder Madhav Chavan is interested in using technology for education but differed in the way it is used in... View Details
      Keywords: Decision Choices and Conditions; Social Entrepreneurship; Education; Information Technology; Learning; Growth and Development Strategy; Non-Governmental Organizations; Social Issues; Education Industry; India; Asia
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      Kim, John J-H, and Malini Sen. "PraDigi Open Learning: Transforming Rural India." Harvard Business School Case 321-022, October 2020.
      • 2020
      • Working Paper

      Targeting for Long-Term Outcomes

      By: Jeremy Yang, Dean Eckles, Paramveer Dhillon and Sinan Aral
      Decision makers often want to target interventions so as to maximize an outcome that is observed only in the long term. This typically requires delaying decisions until the outcome is observed or relying on simple short-term proxies for the long-term outcome. Here we... View Details
      Keywords: Targeted Marketing; Optimization; Churn Management; Marketing; Customer Relationship Management; Policy; Learning; Outcome or Result
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      Yang, Jeremy, Dean Eckles, Paramveer Dhillon, and Sinan Aral. "Targeting for Long-Term Outcomes." Working Paper, October 2020.
      • September 2020
      • Case

      Disrupting Justice at RightNow: Persevere, Pivot or Perish

      By: Shikhar Ghosh and Amir Reza Rezvani
      The case examines the focus of an early stage company, and how an unexpected external incidence can threaten or void the business model. It encompasses issues such as defining and pivoting a business model, organizational requirements for a pivot, investor relations,... View Details
      Keywords: Legal Aspects Of Business; Startup; Teams; Pivot; Financing; Entrepreneurship; Law; Venture Capital; Business Startups; Financing and Loans; Business Model; Organizational Change and Adaptation; Legal Services Industry; Germany
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      Ghosh, Shikhar, and Amir Reza Rezvani. "Disrupting Justice at RightNow: Persevere, Pivot or Perish." Harvard Business School Case 821-027, September 2020.
      • July 2020
      • Background Note

      Gender Diversity on Boards: Views from Norway

      By: Aiyesha Dey
      The issue of gender diversity on boards has received increased attention in U.S markets over the past few years. In 2018, California introduced a law which required boards of U.S-listed firms with headquarters in California to include at least one female director by... View Details
      Keywords: Board Of Directors; Board Decisions; Gender; Diversity; Governing and Advisory Boards; Norway; United States
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      Dey, Aiyesha. "Gender Diversity on Boards: Views from Norway." Harvard Business School Background Note 120-065, July 2020.
      • May 2020 (Revised July 2020)
      • Case

      Justice-as-a-Service at RightNow

      By: Shikhar Ghosh and Amir Reza Rezvani
      The case examines the focus of an early stage company, and how an unexpected external incidence can threaten or void the business model. It encompasses issues such as minimal viable product, defining and pivoting a business model, organizational requirements for a... View Details
      Keywords: Legacy Business; Teams; Startup; Business Models; Pivot; Entrepreneurship; Law; Venture Capital; Business Startups; Business Model; Organizational Change and Adaptation; Strategy; Legal Services Industry; Germany
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      Ghosh, Shikhar, and Amir Reza Rezvani. "Justice-as-a-Service at RightNow." Harvard Business School Case 820-117, May 2020. (Revised July 2020.)
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