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      • Faculty Publications  (103)

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      • 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.
      • 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.
      • 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.
      • 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.
      • August 2021
      • Case

      Precision Paint Co.

      By: Iavor I. Bojinov, Chiara Farronato, Janice H. Hammond, Michael Parzen and Paul Hamilton
      Describes a marketing director about to launch a new process for demand forecasting. Provides data that allow students to do a multivariable regression analysis. A rewritten version of an earlier case.  View Details
      Keywords: Regression; Prediction; Forecasting; Data Science; Analysis; Forecasting and Prediction
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      Bojinov, Iavor I., Chiara Farronato, Janice H. Hammond, Michael Parzen, and Paul Hamilton. "Precision Paint Co." Harvard Business School Case 622-055, August 2021.
      • July 2021
      • Article

      Multinationality and Capital Structure Dynamics: A Corporate Governance Explanation

      By: Daniel Gyimah, Nana Abena Kwansa, Anthony K. Kyiu and Anywhere Sikochi
      This paper examines the impact of corporate governance on capital structure dynamics. Using ordinary least squares regressions on 17,496 firm-year observations for 2,294 U.S. multinational companies (MNCs) over the period 1990–2018, we find that MNCs with strong...  View Details
      Keywords: Multinationality; Speed Of Adjustment; Corporate Governance; Multinational Firms and Management; Capital Structure
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      Gyimah, Daniel, Nana Abena Kwansa, Anthony K. Kyiu, and Anywhere Sikochi. "Multinationality and Capital Structure Dynamics: A Corporate Governance Explanation." Art. 101758. International Review of Financial Analysis 76 (July 2021).
      • June 2021
      • Technical Note

      Introduction to Linear Regression

      By: Michael Parzen and Paul Hamilton
      This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical...  View Details
      Keywords: Linear Regression; Regression; Analysis; Forecasting and Prediction; Risk and Uncertainty; Theory; Compensation and Benefits; Mathematical Methods; Analytics and Data Science
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      Parzen, Michael, and Paul Hamilton. "Introduction to Linear Regression." Harvard Business School Technical Note 621-086, June 2021.
      • May 2021
      • Article

      Choice Architecture in Physician–patient Communication: A Mixed-methods Assessment of Physicians' Competency

      By: J. Hart, K. Yadav, S. Szymanski, A. Summer, A. Tannenbaum, J. Zlatev, D. Daniels and S.D. Halpern
      Background: Clinicians’ use of choice architecture, or how they present options, systematically influences the choices made by patients and their surrogate decision makers. However, clinicians may incompletely understand this influence....  View Details
      Keywords: Choice Architecture; Health Care and Treatment; Interpersonal Communication; Decision Choices and Conditions; Competency and Skills
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      Hart, J., K. Yadav, S. Szymanski, A. Summer, A. Tannenbaum, J. Zlatev, D. Daniels, and S.D. Halpern. "Choice Architecture in Physician–patient Communication: A Mixed-methods Assessment of Physicians' Competency." BMJ Quality & Safety 30, no. 5 (May 2021).
      • January 2021
      • Article

      Machine Learning for Pattern Discovery in Management Research

      By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
      Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect...  View Details
      Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
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      Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.
      • Article

      Resilience vs. Vulnerability: Psychological Safety and Reporting of Near Misses with Varying Proximity to Harm in Radiation Oncology

      By: Palak Kundu, Olivia Jung, Amy C. Edmondson, Nzhde Agazaryan, John Hegde, Michael Steinberg and Ann Raldow
      Background
      Psychological safety, a shared belief that interpersonal risk taking is safe, is an important determinant of incident reporting. However, how psychological safety affects near-miss reporting is unclear, as near misses contain contrasting cues that...  View Details
      Keywords: Psychological Safety; Near-miss Reporting; Health Care and Treatment; Safety
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      Kundu, Palak, Olivia Jung, Amy C. Edmondson, Nzhde Agazaryan, John Hegde, Michael Steinberg, and Ann Raldow. "Resilience vs. Vulnerability: Psychological Safety and Reporting of Near Misses with Varying Proximity to Harm in Radiation Oncology." Joint Commission Journal on Quality and Patient Safety 47, no. 1 (January 2021): 15–22.
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