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Publications

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      • Faculty Publications  (57)

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      • 2024
      • Working Paper

      Scaling Core Earnings Measurement with Large Language Models

      By: Matthew Shaffer and Charles CY Wang
      We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
      Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
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      Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
      • 2024
      • Working Paper

      Does the Case for Private Equity Still Hold?

      By: Nori Gerardo Lietz and Philipp Chvanov
      Private Equity (“PE”) received a 10-fold increase in capital flows since the Great Financial Crisis (“GFC”) Investors sought higher nominal returns relative to those they could obtain in the public capital markets. This paper questions the fundamental assumptions... View Details
      Keywords: Private Equity; Investment Return; Investment Portfolio; Financial Markets
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      Lietz, Nori Gerardo, and Philipp Chvanov. "Does the Case for Private Equity Still Hold?" Harvard Business School Working Paper, No. 24-066, January 2024.
      • 2024
      • Working Paper

      Valuing Stocks With Earnings

      By: Sebastian Hillenbrand and Odhrain McCarthy
      We show that commonly used aggregate earnings are several times as volatile as stock prices over the last three decades. Movements in the price-earnings ratio are thus entirely explained by earnings growth and unrelated to future returns. As an alternative to the... View Details
      Keywords: Price; Investment Portfolio; Stocks; Behavioral Finance; Accounting
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      Hillenbrand, Sebastian, and Odhrain McCarthy. "Valuing Stocks With Earnings." Working Paper, April 2024.
      • October–December 2023
      • Article

      A Practical Guide to Conversation Research: How to Study What People Say to Each Other

      By: Michael Yeomans, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber and Alison Wood Brooks
      Conversation—a verbal interaction between two or more people—is a complex, pervasive, and consequential human behavior. Conversations have been studied across many academic disciplines. However, advances in recording and analysis techniques over the last decade have... View Details
      Keywords: Interpersonal Communication; Analytics and Data Science; Research
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      Yeomans, Michael, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber, and Alison Wood Brooks. "A Practical Guide to Conversation Research: How to Study What People Say to Each Other." Advances in Methods and Practices in Psychological Science 6, no. 4 (October–December 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.
      • January 2023 (Revised December 2023)
      • Case

      OhmConnect: Energizing the Future

      By: Jeffrey F. Rayport, Jennifer Fonstad and Nicole Tempest Keller
      Founded in 2013, OhmConnect was a free consumer web app that alerted customers about peak hours of electricity demand, and paid them to lower their energy use at home during these periods. The company sold the aggregated reductions generated by thousands of households... View Details
      Keywords: App Development; Renewable Energy; Electricity Usage; Regulations; VC; Technology; Customer Acquisition Cost (CAC); Scalability; Applications and Software; Growth and Development Strategy; Governing Rules, Regulations, and Reforms; Business Model; Venture Capital; Energy Industry; United States; California; Texas; Europe
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      Rayport, Jeffrey F., Jennifer Fonstad, and Nicole Tempest Keller. "OhmConnect: Energizing the Future." Harvard Business School Case 823-065, January 2023. (Revised December 2023.)
      • 2022
      • Working Paper

      Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions

      By: Caleb Kwon, Ananth Raman and Jorge Tamayo
      We empirically analyze how managerial overrides to a commercial algorithm that forecasts demand and schedules labor affect store performance. We analyze administrative data from a large grocery retailer that utilizes a commercial algorithm to forecast demand and... View Details
      Keywords: Employees; Human Capital; Performance; Applications and Software; Management Skills; Management Practices and Processes; Retail Industry
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      Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, December 2022. (R&R Management Science.)
      • October 2022
      • Article

      Amplification in the Evaluation of Multiple Emotional Expressions over Time

      By: Amit Goldenberg, Jonas Schöne, Zi Huang, Timothy D. Sweeny, Desmond C. Ong, Timothy Brady, Maria M. Robinson, David Levari, Jamil Zaki and James J. Gross
      Social interactions are dynamic and unfold over time. To make sense of social interactions, people must aggregate sequential information into summary, global evaluations. But how do people do this? Here, to address this question, we conducted nine studies (N = 1,583)... View Details
      Keywords: Social Interactions; Facial Expressions; Emotions; Behavior; Perception
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      Goldenberg, Amit, Jonas Schöne, Zi Huang, Timothy D. Sweeny, Desmond C. Ong, Timothy Brady, Maria M. Robinson, David Levari, Jamil Zaki, and James J. Gross. "Amplification in the Evaluation of Multiple Emotional Expressions over Time." Nature Human Behaviour 6, no. 10 (October 2022): 1408–1416.
      • June 2022
      • Article

      The Use and Misuse of Patent Data: Issues for Finance and Beyond

      By: Josh Lerner and Amit Seru
      Patents and citations are powerful tools for understanding innovation increasingly used in financial economics (and management research more broadly). Biases may result, however, from the interactions between the truncation of patents and citations and the changing... View Details
      Keywords: Patents; Analytics and Data Science; Corporate Finance; Research
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      Lerner, Josh, and Amit Seru. "The Use and Misuse of Patent Data: Issues for Finance and Beyond." Review of Financial Studies 35, no. 6 (June 2022): 2667–2704.
      • 2022
      • White Paper

      Census II of Free and Open Source Software - Application Libraries

      By: Frank Nagle, James Dana, Jennifer Hoffman, Steven Randazzo and Yanuo Zhou
      Produced in partnership with Harvard Laboratory for Innovation Science (LISH) and the Open Source Security Foundation (OpenSSF), Census II is the second investigation into the widespread use of Free and Open Source Software (FOSS). The Census II effort utilizes data... View Details
      Keywords: Open Source Software; Applications and Software; Cybersecurity; Open Source Distribution
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      Nagle, Frank, James Dana, Jennifer Hoffman, Steven Randazzo, and Yanuo Zhou. "Census II of Free and Open Source Software - Application Libraries." White Paper, Linux Foundation and Laboratory for Innovation Science at Harvard, March 2022.
      • 2022
      • Working Paper

      E-commerce During COVID: Stylized Facts from 47 Economies

      By: Joel Alcedo, Alberto Cavallo, Bricklin Dwyer, Prachi Mishra and Antonio Spilimbergo
      We study e-commerce across 47 economies and 26 industries during the COVID-19 pandemic using aggregated and anonymized transaction-level data from Mastercard, scaled to represent total consumer spending. The share of online transactions in total consumption increased... View Details
      Keywords: COVID-19 Pandemic; Health Pandemics; Spending; Internet and the Web; Global Range; Analysis; E-commerce
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      Alcedo, Joel, Alberto Cavallo, Bricklin Dwyer, Prachi Mishra, and Antonio Spilimbergo. "E-commerce During COVID: Stylized Facts from 47 Economies." NBER Working Paper Series, No. 29729, February 2022.
      • November 2021
      • Article

      Determining Variable Costs in the Acute Urolithiasis Cycle of Care Through Time-driven Activity-based Costing

      By: Tyler R. McClintock, David F. Friedlander, Aiden Y. Feng, Mahek A. Shah, Daniel J. Pallin, Steven L. Chang, Angela M. Bader, Thomas W. Feeley, Robert S. Kaplan and George E. Haleblian
      Objective. To characterize full cycle of care costs for managing an acute ureteral stone using time-driven activity-based costing.
      Methods. We defined all phases of care for patients presenting with an acute ureteral stone and built an... View Details
      Keywords: Time-Driven Activity-Based Costing; Health Care and Treatment; Cost; Activity Based Costing and Management
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      McClintock, Tyler R., David F. Friedlander, Aiden Y. Feng, Mahek A. Shah, Daniel J. Pallin, Steven L. Chang, Angela M. Bader, Thomas W. Feeley, Robert S. Kaplan, and George E. Haleblian. "Determining Variable Costs in the Acute Urolithiasis Cycle of Care Through Time-driven Activity-based Costing." Urology 157 (November 2021): 107–113.
      • 2021
      • Working Paper

      Friends and Family Money: P2P Transfers and Financially Fragile Consumers

      By: Tetyana Balyuk and Emily Williams
      We assess the impact that real time money transfer technology has on consumer outcomes, particularly during periods of financial fragility. We do this by developing a new data set that documents use of Zelle—the most widely used P2P money transfer technology in the... View Details
      Keywords: P2P Money Transfers; Real Time Payments; Fintech; Finance; Information Technology; Personal Finance; Financial Condition
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      Balyuk, Tetyana, and Emily Williams. "Friends and Family Money: P2P Transfers and Financially Fragile Consumers." Working Paper, November 2021.
      • August 2021
      • Article

      Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders

      By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett
      This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories Project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British... View Details
      Keywords: Mixed Methods; Insider-outsiders; Myth Of Informed Objectivity; Hybrid Research; Oral Narratives; Research; Analysis; India
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      Khanna, Tarun, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam, and Meena Hewett. "Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders." Academy of Management Perspectives 35, no. 3 (August 2021): 384–399.
      • 2021
      • Article

      Fair Influence Maximization: A Welfare Optimization Approach

      By: Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice and Milind Tambe
      Several behavioral, social, and public health interventions, such as suicide/HIV prevention or community preparedness against natural disasters, leverage social network information to maximize outreach. Algorithmic influence maximization techniques have been proposed... View Details
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      Rahmattalabi, Aida, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, and Milind Tambe. "Fair Influence Maximization: A Welfare Optimization Approach." Proceedings of the AAAI Conference on Artificial Intelligence 35th (2021).
      • February 2021
      • Article

      Assessment of Electronic Health Record Use Between U.S. and Non-U.S. Health Systems

      By: A Jay Holmgren, Lance Downing, David W. Bates, Tait D. Shanafelt, Arnold Milstein, Christopher Sharp, David Cutler, Robert S. Huckman and Kevin A. Schulman
      Importance: Understanding how the electronic health record (EHR) system changes clinician work, productivity, and well-being is critical. Little is known regarding global variation in patterns of use.
      Objective: To provide insights into which EHR... View Details
      Keywords: Electronic Health Records; Health Care and Treatment; Online Technology; Information Technology Industry; Information Technology Industry
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      Holmgren, A Jay, Lance Downing, David W. Bates, Tait D. Shanafelt, Arnold Milstein, Christopher Sharp, David Cutler, Robert S. Huckman, and Kevin A. Schulman. "Assessment of Electronic Health Record Use Between U.S. and Non-U.S. Health Systems." JAMA Internal Medicine 181, no. 2 (February 2021): 251–259.
      • June 2021
      • Article

      From Predictions to Prescriptions: A Data-driven Response to COVID-19

      By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng
      The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at... View Details
      Keywords: COVID-19; Health Pandemics; AI and Machine Learning; Forecasting and Prediction; Analytics and Data Science
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      Bertsimas, Dimitris, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg, and Cynthia Zeng. "From Predictions to Prescriptions: A Data-driven Response to COVID-19." Health Care Management Science 24, no. 2 (June 2021): 253–272.
      • 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).
      • 2020
      • Working Paper

      EMEs and COVID-19: Shutting Down in a World of Informal and Tiny Firms

      By: Laura Alfaro, Oscar Becerra and Marcela Eslava
      Emerging economies are characterized by an extremely high prevalence of informality, small-firm employment and jobs not fit for working from home. These features factor into how the COVID-19 crisis has affected the economy. We develop a framework that, based on... View Details
      Keywords: COVID-19; Emerging Economies; Informality; Firm-size Distribution; Health Pandemics; Developing Countries and Economies; Economy; System Shocks; Latin America
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      Alfaro, Laura, Oscar Becerra, and Marcela Eslava. "EMEs and COVID-19: Shutting Down in a World of Informal and Tiny Firms." Harvard Business School Working Paper, No. 20-125, June 2020. (See application of the methodology to Latin American Countries in the IMF Regional Economic Outlook: Western Hemisphere 2020, Chapter 3. https://www.imf.org/en/Publications/REO/WH/Issues/2020/10/13/regional-economic-outlook-western-hemisphere.)
      • November 2019 (Revised September 2022)
      • Case

      TripAdvisor: An Itinerary for Growth

      By: Jeffrey F. Rayport, Spencer Rascoff and Susie L. Ma
      In 2019, TripAdvisor was one of the best-known and most-trafficked online travel sites. For nearly 20 years, its founder and CEO Steve Kaufer had steered TripAdvisor through many phases of growth and profitability, but recently the company’s growth had started to slow.... View Details
      Keywords: Business Growth and Maturation; Decision Making; Business or Company Management; Growth Management; Innovation and Invention; Brands and Branding; Operations; Customer Value and Value Chain; Information Technology; Travel Industry; Massachusetts
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      Rayport, Jeffrey F., Spencer Rascoff, and Susie L. Ma. "TripAdvisor: An Itinerary for Growth." Harvard Business School Case 820-039, November 2019. (Revised September 2022.)
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