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Publications

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    • All HBS Web  (284)
      • Faculty Publications  (106)

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      • 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; Supply Chain; Trade Links; Decarbonization; Environmental Strategies; Environmental Impact; Globalization; Trade; Environmental Regulation; 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.
      • 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.
      • 2022
      • Article

      Becoming a Learning Organization While Enhancing Performance: The Case of LEGO

      By: Thomas Borup Kristensen, Henrik Saabye and Amy Edmondson
      Purpose - The purpose of this study is to empirically test how problem-solving lean practices, along with leaders as learning facilitators in an action learning approach, can be transferred from a production context to a knowledge work context for the purpose...  View Details
      Keywords: Performance Efficiency; Learning; Organizational Change and Adaptation
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      Kristensen, Thomas Borup, Henrik Saabye, and Amy Edmondson. "Becoming a Learning Organization While Enhancing Performance: The Case of LEGO." International Journal of Operations & Production Management 42, no. 13 (2022): 438–481.
      • 2022
      • Working Paper

      Coordination and Incumbency Advantage in Multi-Party Systems: Evidence from French Elections

      By: Kevin Dano, Francesco Ferlenga, Vincenzo Galasso, Caroline Le Pennec and Vincent Pons
      In theory, free and fair elections can improve the selection of politicians and incentivize them to exert effort. In practice, incumbency advantage and coordination issues may lead to the (re)election of bad politicians. We ask whether these two forces compound each...  View Details
      Keywords: Political Parties; Incumbent Politicians; Democracy; Political Elections; Competitive Advantage
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      Dano, Kevin, Francesco Ferlenga, Vincenzo Galasso, Caroline Le Pennec, and Vincent Pons. "Coordination and Incumbency Advantage in Multi-Party Systems: Evidence from French Elections." NBER Working Paper Series, No. 30541, October 2022.
      • September 2022
      • Article

      The Impact of Financial Assistance Programs on Health Care Utilization: Evidence from Kaiser Permanente

      By: Alyce S. Adams, Raymond Kluender, Neale Mahoney, Jinglin Wang, Francis Wong and Wesley Yin
      Most hospitals have financial assistance programs for low-income patients. We use administrative data from Kaiser Permanente to study the effects of financial assistance on health care utilization. Using a regression discontinuity design based on an income threshold...  View Details
      Keywords: Healthcare; Utilization; Financial Assistance; Health Care and Treatment; Social Issues; Poverty; Health Industry
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      Adams, Alyce S., Raymond Kluender, Neale Mahoney, Jinglin Wang, Francis Wong, and Wesley Yin. "The Impact of Financial Assistance Programs on Health Care Utilization: Evidence from Kaiser Permanente." American Economic Review: Insights 4, no. 3 (September 2022): 389–407.
      • 2022
      • Article

      Nonparametric Subset Scanning for Detection of Heteroscedasticity

      By: Charles R. Doss and Edward McFowland III
      We propose Heteroscedastic Subset Scan (HSS), a novel method for identifying covariates that are responsible for violations of the homoscedasticity assumption in regression settings. Viewing the problem as one of anomalous pattern detection, we use subset scanning...  View Details
      Keywords: Scan Statistics; Anomaly Detection; Regression; Model Diagnostics
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      Doss, Charles R., and Edward McFowland III. "Nonparametric Subset Scanning for Detection of Heteroscedasticity." Journal of Computational and Graphical Statistics 31, no. 3 (2022): 813–823.
      • 2022
      • Working Paper

      Innovation on Wings: Nonstop Flights and Firm Innovation in the Global Context

      By: Dany Bahar, Prithwiraj Choudhury, Do Yoon Kim and Wesley W. Koo
      We study whether, when, and how better connectivity through nonstop flights leads to positive innovation outcomes for firms in the global context. Using unique data of all flights emanating from 5,015 airports around the globe from 2005 to 2015 and exploiting a...  View Details
      Keywords: Nonstop Flights; Collaborative Innovation and Invention; Patents; Research and Development; Air Transportation Industry
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      Bahar, Dany, Prithwiraj Choudhury, Do Yoon Kim, and Wesley W. Koo. "Innovation on Wings: Nonstop Flights and Firm Innovation in the Global Context." Harvard Business School Working Paper, No. 23-009, July 2022.
      • 2022
      • Working Paper

      Machine Learning Models for Prediction of Scope 3 Carbon Emissions

      By: George Serafeim and Gladys Vélez Caicedo
      For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15...  View Details
      Keywords: Carbon Emissions; Climate Change; Environment; Carbon Accounting; Machine Learning; Artificial Intelligence; Digital; Data Science; Environmental Sustainability; Environmental Management; Environmental Accounting
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      Serafeim, George, and Gladys Vélez Caicedo. "Machine Learning Models for Prediction of Scope 3 Carbon Emissions." Harvard Business School Working Paper, No. 22-080, June 2022.
      • May 2022
      • Supplement

      Regression Exercises

      By: David E. Bell
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      Bell, David E. "Regression Exercises." Harvard Business School Spreadsheet Supplement 522-717, May 2022.
      • May 2022
      • Exercise

      Regression Exercises

      By: David E. Bell
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      Bell, David E. "Regression Exercises." Harvard Business School Exercise 522-098, May 2022.
      • May 2022
      • Article

      Complex Disclosure

      By: Ginger Zhe Jin, Michael Luca and Daniel Martin
      We present evidence that unnecessarily complex disclosure can result from strategic incentives to shroud information. In our lab experiment, senders are required to report their private information truthfully, but can choose how complex to make their reports. We find...  View Details
      Keywords: Disclosure; Experiments; Naiveté; Overconfidence; Corporate Disclosure; Policy; Information; Complexity; Strategy; Consumer Behavior
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      Jin, Ginger Zhe, Michael Luca, and Daniel Martin. "Complex Disclosure." Management Science 68, no. 5 (May 2022): 3236–3261.
      • 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.)
      • March 2022 (Revised July 2022)
      • Module Note

      Linear Regression

      By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
      This note provides an overview of linear regression for an introductory data science course. It begins with a discussion of correlation, and explains why correlation does not necessarily imply causation. The note then describes the method of least squares, and how to...  View Details
      Keywords: Data Science; Linear Regression; Mathematical Modeling; Mathematical Methods; Analytics and Data Science
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      Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Linear Regression." Harvard Business School Module Note 622-100, March 2022. (Revised July 2022.)
      • March 2022 (Revised July 2022)
      • Module 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
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      Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Prediction & Machine Learning." Harvard Business School Module Note 622-101, March 2022. (Revised July 2022.)
      • March 2022
      • Article

      Assessing the Impact of the COVID-19 Pandemic on Clinician Ambulatory Electronic Health Record Use

      By: A Jay Holmgren, Lance Downing, Mitchell Tang, Christopher Sharp, Christopher Longhurst and Robert S. Huckman
      Objective: The COVID-19 pandemic changed clinician electronic health record (EHR) work in a multitude of ways. To evaluate how, we measure ambulatory clinician EHR use in the United States throughout the COVID-19 pandemic.

      Materials and Methods: We use EHR...  View Details
      Keywords: Health Care; Electronic Health Records; Productivity; COVID-19 Pandemic; Health Care and Treatment; Health Pandemics; Information Technology; Performance Productivity; United States
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      Holmgren, A Jay, Lance Downing, Mitchell Tang, Christopher Sharp, Christopher Longhurst, and Robert S. Huckman. "Assessing the Impact of the COVID-19 Pandemic on Clinician Ambulatory Electronic Health Record Use." Journal of the American Medical Informatics Association 29, no. 3 (March 2022): 453–460.
      • 2022
      • Working Paper

      Electoral Turnovers

      By: Benjamin Marx, Vincent Pons and Vincent Rollet
      In most national elections, voters face a key choice between continuity and change. Electoral turnovers occur when the incumbent candidate or party fails to win reelection. To understand how turnovers affect national outcomes, we study the universe of presidential and...  View Details
      Keywords: Election Outcomes; Regression Discontinuity Design; Political Elections; Change; Global Range; Outcome or Result; Economy; Governance; Performance Improvement
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      Marx, Benjamin, Vincent Pons, and Vincent Rollet. "Electoral Turnovers." NBER Working Paper Series, No. 29766, February 2022. (Revise and resubmit requested, Review of Economic Studies.)
      • February 2022
      • Article

      Sugar-sweetened Beverage Purchases and Intake at Event Arenas with and without a Portion Size Cap

      By: Sheri Volger, James Scott Parrott, Brian Elbel, Leslie K. John, Jason P. Block, Pamela Rothpletz-Puglia and Christina A. Roberto
      This is the first real-world study to examine the association between a voluntary 16-ounce (oz.) portion-size cap on sugar-sweetened beverages (SSB) at a sporting arena on volume of SSBs and food calories purchased and consumed during basketball games. Cross-sectional...  View Details
      Keywords: Sugar-sweetened Beverages; Nutrition Policy; Obesity Prevention; Portion Sizes; Nutrition; Policy; Health; Behavior
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      Volger, Sheri, James Scott Parrott, Brian Elbel, Leslie K. John, Jason P. Block, Pamela Rothpletz-Puglia, and Christina A. Roberto. "Sugar-sweetened Beverage Purchases and Intake at Event Arenas with and without a Portion Size Cap." Art. 101661. Preventative Medicine Reports 25 (February 2022).
      • 2022
      • Working Paper

      The Impact of Campaign Finance Rules on Candidate Selection and Electoral Outcomes: Evidence from France

      By: Nikolaj Broberg, Vincent Pons and Clémence Tricaud
      This paper investigates the effects of campaign finance rules on electoral outcomes. In French departmental and municipal elections, candidates competing in districts above 9,000 inhabitants face spending limits and are eligible for public reimbursement if they obtain...  View Details
      Keywords: Political Elections; Finance; Governing Rules, Regulations, and Reforms; Outcome or Result; France
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      Broberg, Nikolaj, Vincent Pons, and Clémence Tricaud. "The Impact of Campaign Finance Rules on Candidate Selection and Electoral Outcomes: Evidence from France." NBER Working Paper Series, No. 29805, February 2022.
      • January–February 2022
      • Article

      Operational Disruptions, Firm Risk, and Control Systems

      By: William Schmidt and Ananth Raman
      Operational disruptions can impact a firm's risk, which manifests in a host of operational issues, including a higher holding cost for inventory, a higher financing cost for capacity expansion, and a higher perception of the firm's risk among its supply chain partners....  View Details
      Keywords: Operational Risk; Operational Disruptions; Information Asymmetry; Control Systems; Operations; Disruption; Risk Management
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      Schmidt, William, and Ananth Raman. "Operational Disruptions, Firm Risk, and Control Systems." Manufacturing & Service Operations Management 24, no. 1 (January–February 2022): 411–429.
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