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- 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
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
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
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
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
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
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
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.
- 2022
- Working Paper
What's My Employee Worth? The Effects of Salary Benchmarking
By: Zoë B. Cullen, Shengwu Li and Ricardo Perez-Truglia
While U.S. legislation prohibits employers from sharing information about their employees’
compensation with each other, companies are still allowed to acquire and use more aggregated
data provided by third parties. Most medium and large firms report using this type... View Details
Cullen, Zoë B., Shengwu Li, and Ricardo Perez-Truglia. "What's My Employee Worth? The Effects of Salary Benchmarking." NBER Working Paper Series, No. 30570, October 2022. (Conditionally accepted at the Review of Economic Studies.)
- 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
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
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
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
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
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
Balyuk, Tetyana, and Emily Williams. "Friends and Family Money: P2P Transfers and Financially Fragile Consumers." Working Paper, November 2021.
- 2021
- Working Paper
Who Benefits from Online Gig Economy Platforms?
By: Christopher Stanton and Catherine Thomas
Online labor platforms for short-term, remote work have many more job seekers than available jobs. Despite their relative abundance, workers capture a substantial share of the surplus from transactions. We draw this conclusion from demand estimates that imply workers'... View Details
Keywords: Gig Economy; Knowledge Workers; Online Platforms; Employment; Internet and the Web; Governing Rules, Regulations, and Reforms; Wages; Digital Platforms
Stanton, Christopher, and Catherine Thomas. "Who Benefits from Online Gig Economy Platforms?" NBER Working Paper Series, No. 29477, November 2021. (Revise and Resubmit at American Economic Review.)
- 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
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
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
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
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
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
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
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.)