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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 12, 2023
      • Article

      How AI Will Accelerate the Circular Economy

      By: Shirley Lu and George Serafeim
      Despite living on a planet with finite resources, our economy remains largely linear and full of single-use products. The shift toward a circular economy, where companies recover or recycle resources, has hit roadblocks, including low value of used products and high... View Details
      Keywords: Recycling; Materials Management; Innovation and Management; Technological Innovation; Climate Change; Environmental Sustainability; AI and Machine Learning; Operations; Industrial Products Industry; Consumer Products Industry; Technology Industry
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      Lu, Shirley, and George Serafeim. "How AI Will Accelerate the Circular Economy." Harvard Business Review Digital Articles (June 12, 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

      Auditing Predictive Models for Intersectional Biases

      By: Kate S. Boxer, Edward McFowland III and Daniel B. Neill
      Predictive models that satisfy group fairness criteria in aggregate for members of a protected class, but do not guarantee subgroup fairness, could produce biased predictions for individuals at the intersection of two or more protected classes. To address this risk, we... View Details
      Keywords: Predictive Models; Bias; AI and Machine Learning
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      Boxer, Kate S., Edward McFowland III, and Daniel B. Neill. "Auditing Predictive Models for Intersectional Biases." Working Paper, June 2023.
      • 2023
      • Chapter

      Economic Globalization and Populism in Latin America and Beyond

      By: Paula Rettl
      Both populism and economic globalization have been on the rise in the last decades, motivating increasing scholarly attention to the phenomena and their relationship (see Rodrik 2021 for a recent review). However, the relationship between populism and economic... View Details
      Keywords: Populism; Economic Globalization; Latin America; Economy; Macroeconomics; Economics; Globalized Economies and Regions; Globalization; Political Elections; Government and Politics; Finance; Geographic Location; Latin America
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      Rettl, Paula. "Economic Globalization and Populism in Latin America and Beyond." Chap. 5 in Right-Wing Populism in Latin America and Beyond, edited by Anthony W. Pereira, 1967–1987. Routledge, 2023.
      • June 2023
      • Article

      National Customer Orientation: An Empirical Test across 112 Countries

      By: Ofer Mintz, Imran S. Currim and Rohit Deshpandé
      Customer orientation is a central tenet of marketing. However, less is known about how customer orientation varies across countries and time. Mintz, Currim, and Deshpandé (Eur. J. Mark., 56: 1014–1041, 2022) propose a country-level construct, national customer... View Details
      Keywords: Global Range; Customer Focus and Relationships
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      Mintz, Ofer, Imran S. Currim, and Rohit Deshpandé. "National Customer Orientation: An Empirical Test across 112 Countries." Marketing Letters 34, no. 2 (June 2023): 189–204.
      • June 2023
      • Article

      Regulatory Limits to Risk Management

      By: Ishita Sen
      Variable annuities, the largest liability of U.S. life insurers, are investment products containing long-dated minimum return guarantees. I show that guarantees with similar economic risks are treated differently by regulation and these differences impact insurers’... View Details
      Keywords: Interest Rate Risk; Variable Annuities; Capital Regulation; Reinsurance; Derivatives; Risk Management; Interest Rates; Governing Rules, Regulations, and Reforms
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      Sen, Ishita. "Regulatory Limits to Risk Management." Review of Financial Studies 36, no. 6 (June 2023): 2175–2223. (Lead Article and Editor's Choice, Winner of the RFS Rising Scholar Award 2024.)
      • June 2023
      • Case

      Verve Therapeutics: Taking DNA Editing to Heart

      By: Shikhar Ghosh and Shweta Bagai
      Verve Therapeutics, a public biotech company based in Boston, created a novel approach to addressing cardiovascular disease (CVD) - a leading cause of deaths globally. The company's approach was a single shot treatment to permanently lower cholesterol, thus reducing... View Details
      Keywords: AI; Genetic Engineering; Medicine; Health Care and Treatment; Genetics; Innovation Strategy; Business and Stakeholder Relations; Medical Specialties; Innovation and Invention; Entrepreneurship; Biotechnology Industry
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      Ghosh, Shikhar, and Shweta Bagai. "Verve Therapeutics: Taking DNA Editing to Heart." Harvard Business School Case 823-113, June 2023.
      • June 2023
      • Article

      When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making

      By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju
      As machine learning (ML) models are increasingly being employed to assist human decision makers, it becomes critical to provide these decision makers with relevant inputs which can help them decide if and how to incorporate model predictions into their decision... View Details
      Keywords: AI and Machine Learning; Decision Making
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      McGrath, Sean, Parth Mehta, Alexandra Zytek, Isaac Lage, and Himabindu Lakkaraju. "When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making." Transactions on Machine Learning Research (TMLR) (June 2023).
      • May 2023
      • Case

      Natural Gas in New England

      By: Robin Greenwood, Richard S. Ruback and Gil Highet
      Participants in the New England power market are exploring several strategies to meet the region's renewable power goals while also providing its residents with inexpensive and reliable electricity and heating fuel. New England was a first-mover into natural gas power... View Details
      Keywords: Natural Gas; Energy; Energy Industry; United States; Massachusetts
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      Greenwood, Robin, Richard S. Ruback, and Gil Highet. "Natural Gas in New England." Harvard Business School Case 223-094, May 2023.
      • 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.
      • May 2023
      • Course Overview Note

      Space: Public and Commercial Economics (SPACE)

      By: Matthew C. Weinzierl
      SPACE is a course with two goals: to use the tools of economics to better understand the rapidly evolving space sector, and to train the next generation of commercial space leaders. We pursue these goals through a systematic study of the growing space economy,... View Details
      Keywords: Industry Growth; Aerospace Industry
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      Weinzierl, Matthew C. "Space: Public and Commercial Economics (SPACE)." Harvard Business School Course Overview Note 723-062, May 2023.
      • 2023
      • Working Paper

      The Politics of Philanthropy in China

      By: Geoffrey Jones and Yuhai Wu
      This working paper looks historically at business philanthropy in China. In the West, the literature has distinguished between entrepreneurial and customary philanthropy, while the phenomenon of spiritual philanthropy has been identified in many emerging markets. This... View Details
      Keywords: China; Philanthropy; Ethics; Philanthropy and Charitable Giving; Moral Sensibility; Corporate Social Responsibility and Impact; Economic Systems; Economic Sectors; China
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      Jones, Geoffrey, and Yuhai Wu. "The Politics of Philanthropy in China." Harvard Business School Working Paper, No. 23-067, May 2023.
      • May 2023 (Revised July 2024)
      • Case

      America's Budget Impasse, 2009–2023

      By: Richard Vietor
      In May of 2023, President Biden faced a crisis of debt. The debt ceiling was about to be breached, while House Republicans demanded cuts of $3.5 trillion if they were to raise the ceiling. President Biden refused. The case consists of excerpts from President Obama’s... View Details
      Keywords: Government Administration; Economy
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      Vietor, Richard. "America's Budget Impasse, 2009–2023." Harvard Business School Case 723-063, May 2023. (Revised July 2024.)
      • May 9, 2023
      • Article

      8 Questions About Using AI Responsibly, Answered

      By: Tsedal Neeley
      Generative AI tools are poised to change the way every business operates. As your own organization begins strategizing which to use, and how, operational and ethical considerations are inevitable. This article delves into eight of them, including how your organization... View Details
      Keywords: AI and Machine Learning; Organizational Change and Adaptation; Prejudice and Bias; Ethics
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      Neeley, Tsedal. "8 Questions About Using AI Responsibly, Answered." Harvard Business Review (website) (May 9, 2023).
      • 2023
      • Working Paper

      El Dorado Lost: Local Elites, Real Estate and the Education Business in China

      By: Geoffrey Jones and Yuhai Wu
      This working paper examines the evolving, complex and multifaceted relationship between the real estate industry and the education sector in China. The current crises in the private education and real estate sectors caused by policy shifts reflect the inter-meshing of... View Details
      Keywords: Business and Government Relations; Policy; Government and Politics; Economic Sectors; Education Industry; Real Estate Industry; China
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      Jones, Geoffrey, and Yuhai Wu. "El Dorado Lost: Local Elites, Real Estate and the Education Business in China." Harvard Business School Working Paper, No. 23-065, May 2023.
      • 2023
      • Working Paper

      Causes and Consequences of State Violence against Civilians: The Rohingya of Myanmar

      By: C. Austin Davis, Paula Lopez-Pena, A. Mushfiq Mobarak and Jaya Wen
      The Rohingya crisis is a severe, ongoing conflict involving large-scale violence and forced displacement, yet its causes are contested and its consequences lack systematic documentation. We marshal a variety of existing and original data to shed light on its drivers,... View Details
      Keywords: War; Conflict and Resolution; Motivation and Incentives; Developing Countries and Economies; Myanmar
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      Davis, C. Austin, Paula Lopez-Pena, A. Mushfiq Mobarak, and Jaya Wen. "Causes and Consequences of State Violence against Civilians: The Rohingya of Myanmar." Working Paper, August 2023.
      • May 2023
      • Article

      Political Ideology and International Capital Allocation

      By: Elisabeth Kempf, Mancy Luo, Larissa Schäfer and Margarita Tsoutsoura
      Does investors' political ideology shape international capital allocation? We provide evidence from two settings—syndicated corporate loans and equity mutual funds—to show ideological alignment with foreign governments affects the cross-border capital allocation by... View Details
      Keywords: Capital Flows; Syndicated Loans; Mutual Funds; Partisanship; Polarization; Elections; Political Ideology; Banks and Banking; Institutional Investing; Behavioral Finance; Decision Choices and Conditions
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      Kempf, Elisabeth, Mancy Luo, Larissa Schäfer, and Margarita Tsoutsoura. "Political Ideology and International Capital Allocation." Journal of Financial Economics 148, no. 2 (May 2023): 150–173.
      • 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).
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