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      • March 2022
      • Case

      Auto Mag (Abridged)

      By: David E. Bell
      A young HBS graduate purchases a publisher of specialty magazines that advertises second hand cars, boats, trucks, etc. The magazines carry photographs and a brief description of each article for sale. The company faces the problem of deciding on how many magazines to... View Details
      Keywords: Distribution; Cost Management; Decision Choices and Conditions; Forecasting and Prediction
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      Bell, David E. "Auto Mag (Abridged)." Harvard Business School Case 122-096, March 2022.
      • 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.)
      • Article

      Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

      By: Eva Ascarza and Ayelet Israeli

      An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details

      Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
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      Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
      • Article

      Expected Stock Returns Worldwide: A Log-Linear Present-Value Approach

      By: Akash Chattopadhyay, Matthew R. Lyle and Charles C.Y. Wang
      This study provides the first large-scale study of the performance of expected-return proxies (ERPs) internationally. Analyst-forecast-based ICCs are sparsely populated and not robustly associated with future returns. Earnings-model-forecast-based ICCs are... View Details
      Keywords: Expected Returns; Discount Rates; Fundamental Valuation; Implied Cost Of Capital; International Equity Markets; Present Value; Investment Return; Equity; Markets; Global Range
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      Chattopadhyay, Akash, Matthew R. Lyle, and Charles C.Y. Wang. "Expected Stock Returns Worldwide: A Log-Linear Present-Value Approach." Accounting Review 97, no. 2 (March 2022): 107–133.
      • Article

      From Immigrants to Americans: Race and Assimilation During the Great Migration

      By: Vasiliki Fouka, Soumyajit Mazumder and Marco Tabellini
      How does the arrival of a new minority group affect the social acceptance and outcomes of existing minorities? We study this question in the context of the First Great Migration. Between 1915 and 1930, 1.5 million African Americans moved from the U.S. South to Northern... View Details
      Keywords: Assimilation; Great Migration; Group Identity; Immigration; Race; History; United States
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      Fouka, Vasiliki, Soumyajit Mazumder, and Marco Tabellini. "From Immigrants to Americans: Race and Assimilation During the Great Migration." Review of Economic Studies 89, no. 2 (March 2022): 811–842. (Also appears in VoxEU, The New York Times, Broadstreet, the Skepticast, and Oxford University Press Blog.)
      • 2022
      • Working Paper

      Markups to Financial Intermediation in Foreign Exchange Markets

      By: Jonathan Wallen
      On average from 2013 to 2020, foreign asset managers in net sold forward 1.1 trillion U.S. dollars. This forward sale of dollars hedges the currency mismatch of foreign investment in U.S. dollar assets. By accommodating this demand, U.S. and European banks earn an... View Details
      Keywords: Foreign Exchange; Financial Intermediation; Arbitrage; Market Power; Regulations; Currency; Assets; Interest Rates; Banking Industry
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      Wallen, Jonathan. "Markups to Financial Intermediation in Foreign Exchange Markets." Working Paper, March 2022.
      • March 2022
      • Article

      Targeting High Ability Entrepreneurs Using Community Information: Mechanism Design in the Field

      By: Reshmaan Hussam, Natalia Rigol and Benjamin N. Roth
      Identifying high-growth microentrepreneurs in low-income countries remains a challenge due to a scarcity of verifiable information. With a cash grant experiment in India we demonstrate that community knowledge can help target high-growth microentrepreneurs; while the... View Details
      Keywords: Microentrepreneurs; Community Information; Field Experiment; Loans; Entrepreneurship; Developing Countries and Economies; Financing and Loans; Information; Mathematical Methods; India
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      Hussam, Reshmaan, Natalia Rigol, and Benjamin N. Roth. "Targeting High Ability Entrepreneurs Using Community Information: Mechanism Design in the Field." American Economic Review 112, no. 3 (March 2022): 861–898.
      (Online Appendix with Corrigendum—Thanks to Isabella Masetto, Diego Ubfal, and The Institute for Replication for identifying a minor coding error in the production of Table 4.)
      • March 2022
      • Article

      Where to Locate COVID-19 Mass Vaccination Facilities?

      By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
      The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details
      Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods
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      Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
      • 2022
      • Working Paper

      The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

      By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
      As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
      Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods
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      Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
      • January–February 2022
      • Article

      Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion

      By: Ryan Allen and Prithwiraj Choudhury
      How does a knowledge worker’s level of domain experience affect their algorithm-augmented work performance? We propose and test theoretical predictions that domain experience has countervailing effects on algorithm-augmented performance: on one hand, domain experience... View Details
      Keywords: Automation; Domain Experience; Algorithmic Aversion; Experts; Algorithms; Machine Learning; Future Of Work; Employees; Experience and Expertise; Decision Making; Performance
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      Allen, Ryan, and Prithwiraj Choudhury. "Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion." Organization Science 33, no. 1 (January–February 2022): 149–169. ("Best PhD Student Paper" at SMS conference 2020.)
      • 2022
      • Working Paper

      Hate Crime Increases with Minoritized Group Rank

      By: Marco E. 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... View Details
      Keywords: Prejudice; Minority; Hate Crimes; Reference Dependence; Demographics; Rank and Position; Prejudice and Bias; Crime and Corruption
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      Cikara, Mina, Vasiliki Fouka, and Marco Tabellini. "Hate Crime Increases with Minoritized Group Rank." Harvard Business School Working Paper, No. 21-075, February 2022. (Permanent link here. Forthcoming at Nature Human Behaviour.)
      • 2024
      • Working Paper

      What Triggers National Stock Market Jumps?

      By: Scott R. Baker, Nicholas Bloom, Steven J. Davis and Marco Sammon
      We examine newspapers the day after major stock-market jumps to evaluate the proximate cause, geographic source, and clarity of these events from 1900 in the US, 1930 in the UK and 1980 in 12 other countries. We find four main results. First, the United States plays an... View Details
      Keywords: Uncertainty; Policy Uncertainty; Stock Market; Financial Markets; Volatility; Risk and Uncertainty; Policy; Newspapers
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      Baker, Scott R., Nicholas Bloom, Steven J. Davis, and Marco Sammon. "What Triggers National Stock Market Jumps?" Working Paper, December 2024.
      • January 2022 (Revised January 2024)
      • Case

      ReNew Power: Leading the Energy Transition in India

      By: Gunnar Trumbull and Malini Sen
      Founder-CEO of one of India’s largest clean energy companies, ReNew Power, which develops, builds, and operates utility-scale wind and solar energy projects, has to decide the way forward for the company as the country and the world stand poised at the cusp of an... View Details
      Keywords: Energy Generation; Renewable Energy; Energy Sources; Entrepreneurship; Private Equity; Initial Public Offering; Forecasting and Prediction; Trends; Transformation; Private Ownership; Environmental Sustainability; Energy Industry; India; Asia
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      Trumbull, Gunnar, and Malini Sen. "ReNew Power: Leading the Energy Transition in India." Harvard Business School Case 722-028, January 2022. (Revised January 2024.)
      • January 2022
      • Technical Note

      Introduction to Capital Structure Analytics

      By: Samuel Antill and Ted Berk
      This technical note provides an overview of key analytical approaches that are useful in assessing the appropriateness of a firm’s capital structure and funding plan. This note introduces basic quantitative tools and metrics that are commonly used as inputs to this... View Details
      Keywords: Budgets and Budgeting; Business Plan; Forecasting and Prediction; Borrowing and Debt; Corporate Finance; Capital Structure; Cash Flow; Financial Liquidity; Financial Management; Financing and Loans
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      Antill, Samuel, and Ted Berk. "Introduction to Capital Structure Analytics." Harvard Business School Technical Note 222-061, January 2022.
      • 2022
      • Working Paper

      Feeling Seen: Leader Eye Gaze Promotes Psychological Safety, Participation, and Voice

      By: Nicole Abi-Esber, Alison Wood Brooks and Ethan Burris
      Psychological safety is a hallmark of effective team functioning. Although prior work shows that characteristics of the leader influence employee judgments of psychological safety (and subsequent decisions to speak up), we know very little about “the specific behaviors... View Details
      Keywords: Eye Gaze; Psychological Safety; Voice; Participation; Nonverbal Behavior; Verbal Behavior; Ostracism; Conversation; Groups; Groups and Teams; Social Psychology; Safety; Leadership; Behavior
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      Abi-Esber, Nicole, Alison Wood Brooks, and Ethan Burris. "Feeling Seen: Leader Eye Gaze Promotes Psychological Safety, Participation, and Voice." Harvard Business School Working Paper, No. 22-048, January 2022.
      • January 10, 2022
      • Article

      The Link Between Income, Income Inequality, and Prosocial Behavior Around the World: A Multiverse Approach

      By: Lucia Macchia and Ashley V. Whillans
      The questions of whether high-income individuals are more prosocial than low-income individuals and whether income inequality moderates this effect have received extensive attention. We shed new light on this topic by analyzing a large-scale dataset with a... View Details
      Keywords: Prosocial Behavior; Income Inequality; Behavior; Philanthropy and Charitable Giving; Income
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      Macchia, Lucia, and Ashley V. Whillans. "The Link Between Income, Income Inequality, and Prosocial Behavior Around the World: A Multiverse Approach." Social Psychology (January 10, 2022): 375–386.
      • January 2022
      • Article

      Rational Habit Formation: Experimental Evidence from Handwashing in India

      By: Reshmaan Hussam, Atonu Rabbani, Giovanni Reggiani and Natalia Rigol
      We test the predictions of the rational addiction model, reconceptualized as rational habit formation, in the context of handwashing in rural India. To track handwashing, we design soap dispensers with timed sensors. We test for rational habit formation by informing... View Details
      Keywords: Handwashing; Habit; Monitoring; Behavior; Health; Motivation and Incentives
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      Hussam, Reshmaan, Atonu Rabbani, Giovanni Reggiani, and Natalia Rigol. "Rational Habit Formation: Experimental Evidence from Handwashing in India." American Economic Journal: Applied Economics 14, no. 1 (January 2022): 1–41. (Lead Article.)
      • 2022
      • Working Paper

      TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations

      By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
      Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability... View Details
      Keywords: Natural Language Conversations; Predictive Models; AI and Machine Learning
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      Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations." Working Paper, 2022.
      • January 2022
      • Article

      Why Is Corporate Virtue in the Eye of the Beholder? The Case of ESG Ratings

      By: Dane Christensen, George Serafeim and Anywhere Sikochi
      Despite the rising use of environmental, social, and governance (ESG) ratings, there is substantial disagreement across rating agencies regarding what rating to give to individual firms. As what drives this disagreement is unclear, we examine whether a firm’s ESG... View Details
      Keywords: ESG Ratings; Rating Agency Disagreement; ESG Disclosure; Corporate Social Responsibility; Sustainability; Corporate Social Responsibility and Impact; Environmental Sustainability; Corporate Disclosure
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      Christensen, Dane, George Serafeim, and Anywhere Sikochi. "Why Is Corporate Virtue in the Eye of the Beholder? The Case of ESG Ratings." Accounting Review 97, no. 1 (January 2022): 147–175.
      • Article

      Megastudies Improve the Impact of Applied Behavioural Science

      By: Katherine L. Milkman, Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Pepi Pandiloski, Yeji Park, Aneesh Rai, Max Bazerman, John Beshears, Lauri Bonacorsi, Colin Camerer, Edward Chang, Gretchen Chapman, Robert Cialdini, Hengchen Dai, Lauren Eskreis-Winkler, Ayelet Fishbach, James J. Gross, Samantha Horn, Alexa Hubbard, Steven J. Jones, Dean Karlan, Tim Kautz, Erika Kirgios, Joowon Klusowski, Ariella Kristal, Rahul Ladhania, Jens Ludwig, George Loewenstein, Barbara Mellers, Sendhil Mullainathan, Silvia Saccardo, Jann Spiess, Gaurav Suri, Joachim H. Talloen, Jamie Taxer, Yaacov Trope, Lyle Ungar, Kevin G. Volpp, Ashley V. Whillans, Jonathan Zinman and Angela L. Duckworth
      Policy-makers are increasingly turning to behavioural science for insights about how to improve citizens’ decisions and outcomes. Typically, different scientists test different intervention ideas in different samples using different outcomes over different time... View Details
      Keywords: Policy Making; Behavioral Science; Behavior; Change; Decision Making; Policy
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      Milkman, Katherine L., Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Pepi Pandiloski, Yeji Park, Aneesh Rai, Max Bazerman, John Beshears, Lauri Bonacorsi, Colin Camerer, Edward Chang, Gretchen Chapman, Robert Cialdini, Hengchen Dai, Lauren Eskreis-Winkler, Ayelet Fishbach, James J. Gross, Samantha Horn, Alexa Hubbard, Steven J. Jones, Dean Karlan, Tim Kautz, Erika Kirgios, Joowon Klusowski, Ariella Kristal, Rahul Ladhania, Jens Ludwig, George Loewenstein, Barbara Mellers, Sendhil Mullainathan, Silvia Saccardo, Jann Spiess, Gaurav Suri, Joachim H. Talloen, Jamie Taxer, Yaacov Trope, Lyle Ungar, Kevin G. Volpp, Ashley V. Whillans, Jonathan Zinman, and Angela L. Duckworth. "Megastudies Improve the Impact of Applied Behavioural Science." Nature 600, no. 7889 (December 16, 2021): 478–483.
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