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    • All HBS Web  (269)
      • Faculty Publications  (96)

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      • March 2022
      • Module Note

      Linear Regression

      By: Iavor I. Bojinov, Michael Parzen and Paul J. 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; Mathematical Methods; Data and Data Sets
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      Bojinov, Iavor I., Michael Parzen, and Paul J. Hamilton. "Linear Regression." Harvard Business School Module Note 622-100, March 2022.
      • March 2022
      • Module Note

      Prediction & Machine Learning

      By: Iavor I. Bojinov, Michael Parzen and Paul J. 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 J. Hamilton. "Prediction & Machine Learning." Harvard Business School Module Note 622-101, March 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.
      • 2021
      • Working Paper

      The Impact of Financial Assistance Programs on Health Care Utilization

      By: Alyce S. Adams, Raymond Kluender, Neale Mahoney, Jinglin Wang, Francis Wong and Wesley Yin
      Most hospitals and managed care organizations have financial assistance programs that aim to reduce financial burdens and improve health care access for low-income patients. We use administrative data from Kaiser Permanente to study the effects of financial assistance...  View Details
      Keywords: Healthcare; Utilization; Financial Assistance; Health Care and Treatment; Finance; Programs; Outcome or Result
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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." Harvard Business School Working Paper, No. 22-045, September 2021. (NBER Working Paper Series, No. 29227, September 2021.)
      • August 2021
      • Case

      Precision Paint Co.

      By: Iavor I. Bojinov, Chiara Farronato, Janice H. Hammond, Michael Parzen and Paul J. 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 J. 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 J. 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: Analysis; Forecasting and Prediction; Risk and Uncertainty; Theory
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      Parzen, Michael, and Paul J. 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
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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.
      • 2020
      • Working Paper

      How Do CEOs Make Strategy?

      By: Mu-Jeung Yang, Michael Christensen, Nicholas Bloom, Raffaella Sadun and Jan Rivkin
      We explore the critical question of how executives make strategic decisions. Utilizing a new survey of 262 CEO alumni of Harvard Business School, we gather evidence on four aspects of each executive’s business strategy: its overall structure, its formalization, its...  View Details
      Keywords: Productivity; CEO; Strategy; Management; Decision Making; Surveys; Business Education
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      Yang, Mu-Jeung, Michael Christensen, Nicholas Bloom, Raffaella Sadun, and Jan Rivkin. "How Do CEOs Make Strategy?" Harvard Business School Working Paper, No. 21-063, October 2020.
      • 2020
      • Working Paper

      Determinants of Early-Stage Startup Performance: Survey Results

      By: Thomas R. Eisenmann
      To explore determinants of new venture performance, the CEOs of 470 early-stage startups were surveyed regarding a broad range of factors related to their venture’s customer value proposition, product management, marketing, technology and operations, financial...  View Details
      Keywords: Startups; Survey Research; Performance Analysis; Entrepreneurship; Performance; Analysis; Business Startups; Failure; Surveys
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      Eisenmann, Thomas R. "Determinants of Early-Stage Startup Performance: Survey Results." Harvard Business School Working Paper, No. 21-057, October 2020.
      • Article

      Cultural Diversity on Wall Street: Evidence from Consensus Earnings Forecasts

      By: Kenneth Merkley, Roni Michaely and Joseph Pacelli
      We examine how cultural differences among agents influence the aggregate outcome of a common forecasting task. Using both exogenous shocks to sell-side analyst diversity and panel regression methods, we find that increases in analyst cultural diversity positively...  View Details
      Keywords: Culture; Forecasting; Sell-side Analysts; Information Aggregation; Diversity; Forecasting and Prediction; Information; Performance Improvement
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      Merkley, Kenneth, Roni Michaely, and Joseph Pacelli. "Cultural Diversity on Wall Street: Evidence from Consensus Earnings Forecasts." Journal of Accounting & Economics 70, no. 1 (August 2020).
      • August 2020
      • Article

      Volunteering and Subsequent Health and Well-Being in Older Adults: An Outcome-Wide Longitudinal Approach

      By: Eric Kim, A.V. Whillans, Matt Lee, Ying Chen and Tyler VanderWeele
      Background: Growing evidence documents strong associations between volunteering and favorable health and well-being outcomes. However, epidemiological studies have not evaluated whether changes in volunteering are associated with subsequent health and well-being...  View Details
      Keywords: Volunteering; Prosocial Behavior; Well-being; Behavior; Health; Welfare
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      Kim, Eric, A.V. Whillans, Matt Lee, Ying Chen, and Tyler VanderWeele. "Volunteering and Subsequent Health and Well-Being in Older Adults: An Outcome-Wide Longitudinal Approach." American Journal of Preventive Medicine 59, no. 2 (August 2020): 176–186.
      • May 2020
      • Article

      Ancient Origins of the Global Variation in Economic Preferences

      By: Anke Becker, Benjamin Enke and Armin Falk
      This paper shows that contemporary population-level heterogeneity in risk aversion, time preference, altruism, positive reciprocity, negative reciprocity, and trust partly traces back to the structure of the migration patterns of our very early ancestors. To document...  View Details
      Keywords: Migration Patterns; Behavioral Economics; Preferences; Microeconomics; Demography; Decision Making; Risk and Uncertainty; History; Global Range
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      Becker, Anke, Benjamin Enke, and Armin Falk. "Ancient Origins of the Global Variation in Economic Preferences." AEA Papers and Proceedings 110 (May 2020): 319–323.
      • 2020
      • Working Paper

      Market Segmentation Trees

      By: Ali Aouad, Adam Elmachtoub, Kris Ferreira and Ryan McNellis
      As more commerce and media consumption are being conducted online, a wealth of new opportunities are emerging for personalized advertising. We propose a general methodology, Model Trees for Personalization (MTP), for tackling a broad class of personalized...  View Details
      Keywords: Decision Trees; Computational Advertising; Market Segmentation; Online Advertising; Customization and Personalization; Segmentation; Decision Making
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      Aouad, Ali, Adam Elmachtoub, Kris Ferreira, and Ryan McNellis. "Market Segmentation Trees." Working Paper, January 2020.
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