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      • June 2023
      • Case

      Tractor Supply Co

      By: David L. Ager and Michael A. Roberto
      In February 2023, Hal Lawton, CEO of Tractor Supply Co, the largest farm and ranch retailer in the United States reflected on the company’s 70% growth between 2019 and 2022. Economists had begun to predict an economic downturn and experts were predicting softening... View Details
      Keywords: COVID-19 Pandemic; Demand and Consumers; Economic Slowdown and Stagnation; Organizational Change and Adaptation; Retail Industry
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      Ager, David L., and Michael A. Roberto. "Tractor Supply Co." Harvard Business School Case 923-302, June 2023.
      • June 2023
      • Case

      Accounting for Loan Losses at JPMorgan Chase: Predicting Credit Costs

      By: Jonas Heese, Jung Koo Kang and James Weber
      The case examines the accounting for loan losses at a large bank, how a bank sets its Allowance for Loan and Lease Losses (ALLL) on its financial statements. ALLL, and the rules that set them, determine when banks would and would not extend loans, which significantly... View Details
      Keywords: Accounting Standards; Accrual Accounting; Financial Statements; Financial Reporting; Banks and Banking; Financing and Loans; Banking Industry; United States
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      Heese, Jonas, Jung Koo Kang, and James Weber. "Accounting for Loan Losses at JPMorgan Chase: Predicting Credit Costs." Harvard Business School Case 123-042, June 2023.
      • 2023
      • Working Paper

      Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation

      By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
      Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
      Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
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      Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
      • 2023
      • Working Paper

      Sovereign Default and the Decline in Interest Rates

      By: Max Miller, James Paron and Jessica Wachter
      Sovereign debt yields have declined dramatically over the last half-century. Standard explanations, including aging populations and increases in asset demand from abroad, encounter difficulties when confronted with the full range of evidence. We propose an explanation... View Details
      Keywords: Inflation and Deflation; Interest Rates; Debt Securities
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      Miller, Max, James Paron, and Jessica Wachter. "Sovereign Default and the Decline in Interest Rates." Working Paper, June 2023. (Revise and Resubmit, Review of Financial Studies.)
      • May 2023
      • Case

      CMA CGM: Reducing the Carbon Footprint of Container Shipping

      By: Willy C. Shih and Emilie Billaud
      Marine transport is the most cost-effective way to move large volumes over long distances, and container shipping is the backbone of international trade in goods. Yet shipping contributed 3% of worldwide greenhouse gas emissions, and the deep-sea segment, which... View Details
      Keywords: Container Shipping; Logistic Regression; Trade Links; Decarbonization; Environmental Strategies; Environmental Impact; Globalization; Trade; Environmental Regulation; Logistics; Supply Chain; Governance Compliance; Shipping Industry; European Union; Asia; North America
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      Shih, Willy C., and Emilie Billaud. "CMA CGM: Reducing the Carbon Footprint of Container Shipping." Harvard Business School Case 623-006, May 2023.
      • 2023
      • Article

      Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators

      By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
      Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
      Keywords: Regression Discontinuity Design; Analytics and Data Science; AI and Machine Learning
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      Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
      • 2025
      • Working Paper

      Turning Points in Inflation: A Structural Breaks Approach with Micro Data

      By: Alberto Cavallo and Gastón García Zavaleta
      We introduce a novel methodology for detecting inflation turning points that combines high-frequency, disaggregated price data with standard structural break techniques to provide policymakers with more precise and timely signals of inflation dynamics. The methodology... View Details
      Keywords: Inflation and Deflation; Global Range; Economic Slowdown and Stagnation; Analysis; Price
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      Cavallo, Alberto, and Gastón García Zavaleta. "Turning Points in Inflation: A Structural Breaks Approach with Micro Data." Working Paper, May 2025. (Preliminary draft.)
      • April 19, 2023
      • Editorial

      Extreme Views Are More Attractive Than Moderate Ones

      By: Amit Goldenberg
      Do you ever feel like everyone on social media has a more extreme viewpoint than your own? We often blame social media companies for the cacophony of politically extreme opinions around us. After all, these companies are generally motivated to promote the most... View Details
      Keywords: Social Media; Networks
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      Goldenberg, Amit. "Extreme Views Are More Attractive Than Moderate Ones." Scientific American (website) (April 19, 2023).
      • April 2023 (Revised July 2023)
      • Case

      Dena Almansoori at e&: Fostering Culture Change at a UAE Telco Transforming to a Global Techco

      By: Emily Truelove, Michelle Zhang and Alpana Thapar
      Dena Almansoori, the first female and one of the youngest members of the United Arab Emirates-based e&’s leadership team, joined in 2020 just before e& began a strategic transition from being a regional telecommunications company to becoming a global technology... View Details
      Keywords: Leadership; Culture; Transformation; Technology; Telecommunications; Employee Mobility; Talent; Leading Change; Human Resources; Telecommunications Industry; Technology Industry; Middle East; United Arab Emirates
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      Truelove, Emily, Michelle Zhang, and Alpana Thapar. "Dena Almansoori at e&: Fostering Culture Change at a UAE Telco Transforming to a Global Techco." Harvard Business School Case 423-040, April 2023. (Revised July 2023.)
      • April 2023 (Revised July 2023)
      • Case

      Dena Almansoori at e&: Fostering Culture Change at a UAE Telco Transforming to a Global Techco (Abridged)

      By: Emily Truelove, Michelle Zhang and Alpana Thapar
      Dena Almansoori, the first female and one of the youngest members of the United Arab Emirates-based e&’s leadership team, joined in 2020 just before e& began a strategic transition from being a regional telecommunications company to becoming a global technology... View Details
      Keywords: Technology; Telecommunications; Employee Mobility; Leading Change; Human Resources; Organizational Culture; Transformation; Change Management; Employee Relationship Management; Leadership; Talent and Talent Management; Telecommunications Industry; Technology Industry; Middle East; United Arab Emirates
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      Truelove, Emily, Michelle Zhang, and Alpana Thapar. "Dena Almansoori at e&: Fostering Culture Change at a UAE Telco Transforming to a Global Techco (Abridged)." Harvard Business School Case 423-059, April 2023. (Revised July 2023.)
      • April 2023
      • Article

      A Field Experiment on Subgoal Framing to Boost Volunteering: The Trade-off Between Goal Granularity and Flexibility

      By: Aneesh Rai, Marissa A. Sharif, Edward H. Chang, Katherine L. Milkman and Angela L. Duckworth
      Research suggests that breaking overarching goals into more granular subgoals is beneficial for goal progress. However, making goals more granular often involves reducing the flexibility provided to complete them, and recent work shows that flexibility can also be... View Details
      Keywords: Goals and Objectives; Outcome or Result; Performance Improvement
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      Rai, Aneesh, Marissa A. Sharif, Edward H. Chang, Katherine L. Milkman, and Angela L. Duckworth. "A Field Experiment on Subgoal Framing to Boost Volunteering: The Trade-off Between Goal Granularity and Flexibility." Journal of Applied Psychology 108, no. 4 (April 2023): 621–634.
      • 2023
      • Working Paper

      Corporate Website-based Measures of Firms' Value Drivers

      By: Wei Cai, Dennis Campbell and Patrick Ferguson
      We develop and validate new text-based measures of firms’ financial and non-financial value drivers. Using the Wayback Machine to access public US firms’ archived websites from 1995-2020, we scrape text from corporate homepages. We use Kaplan and Norton’s (1992)... View Details
      Keywords: Value; Corporate Strategy; Accounting; Analytics and Data Science
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      Cai, Wei, Dennis Campbell, and Patrick Ferguson. "Corporate Website-based Measures of Firms' Value Drivers." SSRN Working Paper Series, No. 4413808, April 2023.
      • 2023
      • Working Paper

      Feature Importance Disparities for Data Bias Investigations

      By: Peter W. Chang, Leor Fishman and Seth Neel
      It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
      Keywords: AI and Machine Learning; Analytics and Data Science; Prejudice and Bias
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      Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
      • Spring 2023
      • Article

      Incentive Contract Design and Employee-Initiated Innovation: Evidence from the Field

      By: Wei Cai, Susanna Gallani and Jee-Eun Shin
      This study examines how the design of incentive contracts for tasks defined as workers’ official responsibilities (i.e., standard tasks) influences workers’ propensity to engage in employee-initiated innovation (EII). EII corresponds to innovation activities that are... View Details
      Keywords: Employee-initiated Innovation; Contract Design; Rank-and-file; Extra-role Behaviors; Compensation and Benefits; Motivation and Incentives; Innovation and Management
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      Cai, Wei, Susanna Gallani, and Jee-Eun Shin. "Incentive Contract Design and Employee-Initiated Innovation: Evidence from the Field." Contemporary Accounting Research 40, no. 1 (Spring 2023): 292–323.
      • 2023
      • Working Paper

      PRIMO: Private Regression in Multiple Outcomes

      By: Seth Neel
      We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details
      Keywords: Analytics and Data Science; Mathematical Methods
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      Neel, Seth. "PRIMO: Private Regression in Multiple Outcomes." Working Paper, March 2023.
      • March 2023 (Revised January 2024)
      • Case

      Deepa Bachu (A): Design Thinking at Pensaar Design

      By: Thomas Graeber, Joshua Schwartzstein and Amram Migdal
      In this case, set in June 2019 in Bangalore, Karnataka, India, Deepa Bachu of Pensaar Design and her team work with client ITC Ltd. to use design thinking and behavioral experiments to improve workplace safety and strive toward the company’s zero-accident goal. The... View Details
      Keywords: Buildings and Facilities; Design; Education; Training; Working Conditions; Business or Company Management; Production; Business Processes; Corporate Social Responsibility and Impact; Outcome or Result; Performance Improvement; Programs; Business and Stakeholder Relations; Groups and Teams; Labor and Management Relations; Rank and Position; Safety; Attitudes; Behavior; Motivation and Incentives; Trust; Well-being; Consulting Industry; Pulp and Paper Industry; Manufacturing Industry; India
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      Graeber, Thomas, Joshua Schwartzstein, and Amram Migdal. "Deepa Bachu (A): Design Thinking at Pensaar Design." Harvard Business School Case 923-026, March 2023. (Revised January 2024.)
      • March 2023
      • Supplement

      Deepa Bachu (B): Insights and Experiments at Pensaar Design

      By: Thomas Graeber, Joshua Schwartzstein and Amram Migdal
      In this case, set in June 2019 in Bangalore, Karnataka, India, Deepa Bachu of Pensaar Design and her team work with client ITC Ltd. to use design thinking and behavioral experiments to improve workplace safety and strive toward the company’s zero-accident goal. The... View Details
      Keywords: Buildings and Facilities; Design; Training; Working Conditions; Business or Company Management; Production; Business Processes; Corporate Social Responsibility and Impact; Outcome or Result; Performance Improvement; Programs; Business and Stakeholder Relations; Groups and Teams; Labor and Management Relations; Rank and Position; Safety; Attitudes; Behavior; Motivation and Incentives; Trust; Well-being; Consulting Industry; Pulp and Paper Industry; Manufacturing Industry; India
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      Graeber, Thomas, Joshua Schwartzstein, and Amram Migdal. "Deepa Bachu (B): Insights and Experiments at Pensaar Design." Harvard Business School Supplement 923-034, March 2023.
      • March 2023 (Revised December 2023)
      • Background Note

      Economic Analysis: The Hidden Costs of Layoffs and Managing Staff Reductions

      By: Sandra J. Sucher, Marilyn Morgan Westner and Christopher Diak
      Globally, over the past fifty years, more companies have used layoffs to cut costs during periods of decreased demand or economic downturns. But layoffs have far-reaching consequences, generate hidden costs, and harm the company in myriad ways. This note reviews ways... View Details
      Keywords: Human Resource Management; Layoffs; Furloughs; Human Resources; Management Practices and Processes; Employee Relationship Management; Resignation and Termination; Compensation and Benefits; United States
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      Sucher, Sandra J., Marilyn Morgan Westner, and Christopher Diak. "Economic Analysis: The Hidden Costs of Layoffs and Managing Staff Reductions." Harvard Business School Background Note 323-073, March 2023. (Revised December 2023.)
      • March 2023 (Revised June 2023)
      • Case

      Layoffs in the Tech Industry: 2022–2023

      By: Sandra J. Sucher and Marilyn Morgan Westner
      This case examines the mass layoffs that swept through the tech industry (2022-2023) through the lens of four companies: Twitter, Stripe, Meta, and Google. How these companies implemented workforce change through mass layoffs raises critical questions applicable beyond... View Details
      Keywords: Layoffs; Human Resource Management; Workforce Reductions; Ethics; Human Resources; Management; Values and Beliefs; Employee Relationship Management; Resignation and Termination; Compensation and Benefits; Technology Industry; United States; United Kingdom
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      Sucher, Sandra J., and Marilyn Morgan Westner. "Layoffs in the Tech Industry: 2022–2023." Harvard Business School Case 323-095, March 2023. (Revised June 2023.)
      • March–April 2023
      • Article

      Market Segmentation Trees

      By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
      Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details
      Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing
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      Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
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