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      • Faculty Publications  (441)

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      • 2023
      • Working Paper

      Accounting for Carbon Offsets – Establishing the Foundation for Carbon-Trading Markets

      By: Robert S. Kaplan, Karthik Ramanna and Marc Roston
      Tackling climate change requires reductions in current and future greenhouse gas (GHG) emissions as well as the removal of existing GHG from the atmosphere. Carbon-offset producers purport to provide such removals. But poor measurement practices and inadequate controls...  View Details
      Keywords: Carbon Offsetting; Climate Change; Environmental Regulation; Corporate Accountability
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      Kaplan, Robert S., Karthik Ramanna, and Marc Roston. "Accounting for Carbon Offsets – Establishing the Foundation for Carbon-Trading Markets." Harvard Business School Working Paper, No. 23-050, February 2023.
      • January 2023
      • Case

      First to Fight? Culture, Tradition and the United States Marine Corps (USMC)

      By: Ranjay Gulati, Akhil Iyer and Joel Malkin
      Over a history of more than 240 years, the United States Marine Corps has forged a distinct culture and institutional identity centered on its “warrior ethos.” In the wars of American history, Marines fought with uncommon valor, rising to international prominence for...  View Details
      Keywords: Change Management; Transformation; Talent and Talent Management; Government Administration; Management Practices and Processes; Management Systems; Organizational Change and Adaptation; Organizational Culture; Performance Effectiveness; United States
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      Gulati, Ranjay, Akhil Iyer, and Joel Malkin. "First to Fight? Culture, Tradition and the United States Marine Corps (USMC)." Harvard Business School Case 423-051, January 2023.
      • January 2023
      • Article

      Firm-Induced Migration Paths and Strategic Human-Capital Outcomes

      By: Prithwiraj (Raj) Choudhury, Tarun Khanna and Victoria Sevcenko
      Firm-induced migration typically entails firms relocating workers to fill value-creating positions at destination locations. But such relocated workers are often exposed to external employment opportunities at their destinations, possibly triggering turnover. We...  View Details
      Keywords: Worker Relocation; Turnover; Firm-induced Migration; Smaller Towns; Employee Mobility; Geographic Mobility; Migration; Clusters; Employees; Geographic Location; Performance; Opportunities; Retention; Human Capital; Talent and Talent Management
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      Choudhury, Prithwiraj (Raj), Tarun Khanna, and Victoria Sevcenko. "Firm-Induced Migration Paths and Strategic Human-Capital Outcomes." Management Science 69, no. 1 (January 2023): 419–445.
      • 2023
      • Working Paper

      The Evolving Academic Field of Climate Finance

      By: Matteo Gasparini and Peter Tufano
      The urgency and the magnitude of climate change will affect every aspect of our economies, societies, and planet. The academic finance research has begun to study the financial implications of global warming, although this body of literature is small. The field has...  View Details
      Keywords: Climate Finance; Finance Academia; Greenhouse Gas; Sustainable Finance; Financial Decisions; Educational Finance; Finance; Climate Change; Transition
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      Gasparini, Matteo, and Peter Tufano. "The Evolving Academic Field of Climate Finance." Harvard Business School Working Paper, No. 23-057, January 2023.
      • December 2022
      • Teaching Plan

      JetBlue: Relevant Sustainability Leadership (A) & (B)

      By: George Serafeim
      Teaching Plan for HBS Case Nos. 118-030 and 119-044.  View Details
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      Serafeim, George. "JetBlue: Relevant Sustainability Leadership (A) & (B)." Harvard Business School Teaching Plan 123-057, December 2022.
      • 2022
      • Chapter

      Corporate Misconduct’s Relevance to Society through Everyday Misconduct

      By: Eugene Soltes
      Terms like "corporate misconduct" and "white-collar crime" typically bring to mind major scandals like Enron or Bernie Madoff. This popular perception overlooks another important—and in fact much more typical—type of deviance: "everyday misconduct." Everyday misconduct...  View Details
      Keywords: Research; Crime and Corruption; Society
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      Soltes, Eugene. "Corporate Misconduct’s Relevance to Society through Everyday Misconduct." Chap. 2 in A Research Agenda for Financial Crime, edited by Barry Rider, 31–48. Edward Elgar Publishing, 2022.
      • 2022
      • Article

      A Human-Centric Take on Model Monitoring

      By: Murtuza Shergadwala, Himabindu Lakkaraju and Krishnaram Kenthapadi
      Predictive models are increasingly used to make various consequential decisions in high-stakes domains such as healthcare, finance, and policy. It becomes critical to ensure that these models make accurate predictions, are robust to shifts in the data, do not rely on...  View Details
      Keywords: AI and Machine Learning; Research and Development; Demand and Consumers
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      Shergadwala, Murtuza, Himabindu Lakkaraju, and Krishnaram Kenthapadi. "A Human-Centric Take on Model Monitoring." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 10 (2022): 173–183.
      • 2022
      • Working Paper

      The Evolution of ESG Reports and the Role of Voluntary Standards

      By: Ethan Rouen, Kunal Sachdeva and Aaron Yoon
      We examine the evolution of ESG reports of S&P 500 firms from 2010 to 2021. The percentage of firms releasing these voluntary disclosures increased from 35% to 86% during this period, although the length of these documents experienced more modest growth. Using a...  View Details
      Keywords: Voluntary Disclosure; Textual Analysis; Modeling And Analysis; Corporate Social Responsibility and Impact; AI and Machine Learning; Accounting
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      Rouen, Ethan, Kunal Sachdeva, and Aaron Yoon. "The Evolution of ESG Reports and the Role of Voluntary Standards." Harvard Business School Working Paper, No. 23-024, October 2022.
      • October–December 2022
      • Article

      Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

      By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
      Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed...  View Details
      Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
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      Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
      • Working Paper

      Representation and Extrapolation: Evidence from Clinical Trials

      By: Marcella Alsan, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein and Heidi L. Williams
      This article examines the consequences and causes of low enrollment of Black patients in clinical trials. We develop a simple model of similarity-based extrapolation that predicts that evidence is more relevant for decision-making by physicians and patients when it...  View Details
      Keywords: Representation; Racial Disparity; Health Testing and Trials; Race; Equality and Inequality; Innovation and Invention; Pharmaceutical Industry
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      Alsan, Marcella, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein, and Heidi L. Williams. "Representation and Extrapolation: Evidence from Clinical Trials." NBER Working Paper Series, No. 30575, October 2022. (Revise and resubmit, Quarterly Journal of Economics.)
      • August 2022
      • Case

      Rocket Learning: Evidence in Action

      By: Brian Trelstad, Tomas Rosales and Malini Sen
      Founders of Rocket Learning, an India-based nonprofit which focused on early childhood education (ECE), received an invitation from MIT’s Abdul Latif Jameel Poverty Action Lab (JPAL), a development research organization, to test its intervention for ECE with a...  View Details
      Keywords: Social Entrepreneurship; Early Childhood Education; Nonprofit Organizations; Literacy; Values and Beliefs; Social and Collaborative Networks; Education Industry; India; Asia
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      Trelstad, Brian, Tomas Rosales, and Malini Sen. "Rocket Learning: Evidence in Action." Harvard Business School Case 323-002, August 2022.
      • 2022
      • Working Paper

      Causal Inference During A Pandemic: Evidence on the Effectiveness of Nebulized Ibuprofen as an Unproven Treatment for COVID-19 in Argentina

      By: Sebastian Calonico, Rafael Di Tella and Juan Cruz Lopez Del Valle
      Many medical decisions during the pandemic were made without the support of causal evidence obtained in clinical trials. We study the case of nebulized ibuprofen (NaIHS), a drug that was extensively used on COVID-19 patients in Argentina amidst wild claims about its...  View Details
      Keywords: COVID-19; Drug Treatment; Health Pandemics; Health Care and Treatment; Decision Making; Outcome or Result; Argentina
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      Calonico, Sebastian, Rafael Di Tella, and Juan Cruz Lopez Del Valle. "Causal Inference During A Pandemic: Evidence on the Effectiveness of Nebulized Ibuprofen as an Unproven Treatment for COVID-19 in Argentina." NBER Working Paper Series, No. 30084, May 2022.
      • Article

      How Much Should We Trust Staggered Difference-In-Differences Estimates?

      By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
      We explain when and how staggered difference-in-differences regression estimators, commonly applied to assess the impact of policy changes, are biased. These biases are likely to be relevant for a large portion of research settings in finance, accounting, and law that...  View Details
      Keywords: Difference In Differences; Staggered Difference-in-differences Designs; Generalized Difference-in-differences; Dynamic Treatment Effects; Mathematical Methods
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      Baker, Andrew C., David F. Larcker, and Charles C.Y. Wang. "How Much Should We Trust Staggered Difference-In-Differences Estimates?" Journal of Financial Economics 144, no. 2 (May 2022): 370–395. (Editor's Choice, May 2022.)
      • 2022
      • Article

      Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods.

      By: Chirag Agarwal, Marinka Zitnik and Himabindu Lakkaraju
      As Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes critical to ensure that the stakeholders understand the rationale behind their predictions. While several GNN explanation methods have been proposed recently, there has...  View Details
      Keywords: Graph Neural Networks; Explanation Methods; Mathematical Methods; Framework; Theory; Analysis
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      Agarwal, Chirag, Marinka Zitnik, and Himabindu Lakkaraju. "Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
      • 2022
      • Other Teaching and Training Material

      Organizational Behavior Reading: Managing Differences

      By: Robin Ely and Colleen Ammerman
      This reading provides principles and practices managers can draw upon to leverage differences in social identities - such as gender and race - to create more effective work relationships, teams, and organizations. The Essential Reading's first section draws upon...  View Details
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      Ely, Robin, and Colleen Ammerman. "Organizational Behavior Reading: Managing Differences." Core Curriculum Readings Series. Boston, MA: Harvard Business Publishing 8394, 2022.
      • Article

      A Career Life-Cycle Perspective on Women's Health and Safety

      By: Robert S. Kaplan, Chizoba L. Chukwura, Gregory H. Gorman, Vivian S. Lee, Chester B. Good, Kathleen L. Martin, Gregory A. Ator and Michael D. Parkinson
      Women's health has demanded more attention from employers as women integrated into the workforce. Traditionally male-dominant fields and occupations require special attention to workplace design, physical standards for entry, employment practices, equipment, and health...  View Details
      Keywords: Women's Health; Healthcare Access; Workplace Design; Military Health System; Occupational Health; Medical Equipment & Devices; Employees; Gender; Personal Development and Career
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      Kaplan, Robert S., Chizoba L. Chukwura, Gregory H. Gorman, Vivian S. Lee, Chester B. Good, Kathleen L. Martin, Gregory A. Ator, and Michael D. Parkinson. "A Career Life-Cycle Perspective on Women's Health and Safety." Journal of Occupational and Environmental Medicine 64, no. 4 (April 2022): 267–270.
      • Other Article

      Sustainable Strategies and Net-Zero Goals

      By: Mark L. Frigo, Robert S. Kaplan and Karthik Ramanna
      In a recent Harvard Business Review article, Kaplan and Ramanna describe a rigorous approach, the E-liability method, for companies’ ESG reporting, especially as it pertains to GHG emissions measurements. They argue that the current standards for measuring...  View Details
      Keywords: Measurement; Sustainability; Net-zero Emissions; Environmental Sustainability; Integrated Corporate Reporting; Measurement and Metrics; Strategy
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      Frigo, Mark L., Robert S. Kaplan, and Karthik Ramanna. "Sustainable Strategies and Net-Zero Goals." Special Issue on Sustainability. Strategic Finance 103, no. 10 (April 2022): 42–49.
      • 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.
      • Article

      Health App Policy: International Comparison of Nine Countries' Approaches

      By: Anna Essén, Ariel Dora Stern, Christoffer Bjerre Haase, Josip Car, Felix Greaves, Dragana Paparova, Steven Vandeput, Rik Wehrens and David W. Bates
      An abundant and growing supply of digital health applications (apps) exists in the commercial tech-sector, which can be bewildering for clinicians, patients, and payers. A growing challenge for the health care system is therefore to facilitate the identification of...  View Details
      Keywords: Digital Health; Apps; Health Care and Treatment; Internet and the Web; Policy; Global Range; Applications and Software
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      Essén, Anna, Ariel Dora Stern, Christoffer Bjerre Haase, Josip Car, Felix Greaves, Dragana Paparova, Steven Vandeput, Rik Wehrens, and David W. Bates. "Health App Policy: International Comparison of Nine Countries' Approaches." npj Digital Medicine 5, no. 31 (2022).
      • 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.
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