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- Faculty Publications (549)
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- All HBS Web
(2,118)
- Faculty Publications (549)
- 2023
- Article
Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations.
By: Edward McFowland III and Cosma Rohilla Shalizi
Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore its... View Details
Keywords: Causal Inference; Homophily; Social Networks; Peer Influence; Social and Collaborative Networks; Power and Influence; Mathematical Methods
McFowland III, Edward, and Cosma Rohilla Shalizi. "Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations." Journal of the American Statistical Association 118, no. 541 (2023): 707–718.
- March–April 2023
- Article
Pricing for Heterogeneous Products: Analytics for Ticket Reselling
By: Michael Alley, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li and Georgia Perakis
Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity, heterogeneity in... View Details
Keywords: Price; Demand and Consumers; AI and Machine Learning; Investment Return; Entertainment and Recreation Industry; Sports Industry
Alley, Michael, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li, and Georgia Perakis. "Pricing for Heterogeneous Products: Analytics for Ticket Reselling." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 409–426.
- 2023
- Working Paper
The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities
By: David S. Scharfstein and Sergey Chernenko
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
- April 2023
- Article
The Real Exchange Rate, Innovation and Productivity
By: Laura Alfaro, Alejandro Cuñat, Harald Fadinger and Yanping Liu
We evaluate manufacturing firms' responses to changes in the real exchange rate (RER) using detailed firm-level data for a large set of countries for the period 2001-2010. We uncover the following stylized facts about regional variation of manufacturing firms'... View Details
Keywords: Real Exchange Rate; Firm Level Data; Innovation; Productivity; Exporting; Importing; Credit Constraints; Currency Exchange Rate; Innovation and Invention; Performance Productivity
Alfaro, Laura, Alejandro Cuñat, Harald Fadinger, and Yanping Liu. "The Real Exchange Rate, Innovation and Productivity." Journal of the European Economic Association 21, no. 2 (April 2023): 637–689.
- 2023
- Article
Comparison of COVID-19 Hospitalization Costs across Care Pathways: A Patient-level Time-driven Activity-based Costing Analysis in a Brazilian Hospital
By: Ricardo Bertoglio Cardoso, Miriam Allein Zago Marcolino, Milena Soriano Marcolino, Camila Felix Fortis, Leila Beltrami Moreira, Ana Paula Coutinho, Nadine Oliveira Clausell, Junaid Nabi, Robert S. Kaplan, Ana Paula Beck da Silva Etges and Carisi Anne Polanczyk
The COVID-19 pandemic raised awareness of the need to better understand where and how patient-level costs are incurred in health care organizations. This study used time-driven activity-based costing to estimate COVID-19 patient-level hospital costs in a Brazilian... View Details
Cardoso, Ricardo Bertoglio, Miriam Allein Zago Marcolino, Milena Soriano Marcolino, Camila Felix Fortis, Leila Beltrami Moreira, Ana Paula Coutinho, Nadine Oliveira Clausell, Junaid Nabi, Robert S. Kaplan, Ana Paula Beck da Silva Etges, and Carisi Anne Polanczyk. "Comparison of COVID-19 Hospitalization Costs across Care Pathways: A Patient-level Time-driven Activity-based Costing Analysis in a Brazilian Hospital." BMC Health Services Research 23, no. 198 (2023).
- 2023
- Working Paper
Complexity and Time
By: Benjamin Enke, Thomas Graeber and Ryan Oprea
We provide experimental evidence that core intertemporal choice anomalies -- including extreme short-run impatience, structural estimates of present bias, hyperbolicity and transitivity violations -- are driven by complexity rather than time or risk preferences. First,... View Details
Enke, Benjamin, Thomas Graeber, and Ryan Oprea. "Complexity and Time." NBER Working Paper Series, No. 31047, March 2023.
- 2023
- Working Paper
Distributionally Robust Causal Inference with Observational Data
By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
- 2023
- Working Paper
Crowding in Private Quality: The Equilibrium Effects of Public Spending in Education
By: Tahir Andrabi, Natalie Bau, Jishnu Das, Asim Ijaz Khwaja and Naureen Karachiwalla
We estimate the equilibrium effects of a public-school grant program administered through school councils in Pakistani villages with multiple public and private schools and clearly defined catchment boundaries. The program was randomized at the village-level, allowing... View Details
Andrabi, Tahir, Natalie Bau, Jishnu Das, Asim Ijaz Khwaja, and Naureen Karachiwalla. "Crowding in Private Quality: The Equilibrium Effects of Public Spending in Education." NBER Working Paper Series, No. 30929, February 2023.
- January 2023 (Revised August 2023)
- Case
Veeva Systems and the Transformation to a Public Benefit Corporation
By: Ranjay Gulati and Allison M. Ciechanover
Peter Gassner, the co-founder and CEO of Veeva Systems, steered the company through rapid scaling from its launch in 2007 to 2022. Year after year, the company had exceeded expectations, with its market capitalization reaching $50 billion at its peak. By 2022, the... View Details
- 2023
- Article
Experimental Evaluation of Individualized Treatment Rules
By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning
Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
- 2023
- Working Paper
The Market for CEOs: Evidence from Private Equity
By: Paul A. Gompers, Steven N. Kaplan and Vladimir Mukharlyamov
Most research on the CEO labor market studies public company CEOs while largely ignoring CEOs in private equity (PE) funded companies. We fill this gap by studying the market for CEOs among U.S. companies purchased by PE firms in large leveraged buyout transactions.... View Details
Gompers, Paul A., Steven N. Kaplan, and Vladimir Mukharlyamov. "The Market for CEOs: Evidence from Private Equity." NBER Working Paper Series, No. 30899, April 2022. (Revised January 2023.)
- 2023
- Working Paper
Too Many Managers: The Strategic Use of Titles to Avoid Overtime Payments
By: Lauren Cohen, Umit Gurun and N. Bugra Ozel
We find widespread evidence of firms appearing to avoid paying overtime wages by exploiting a
federal law that allows them to do so for employees termed as “managers” and paid a salary above a
pre-defined dollar threshold. We show that listings for salaried positions... View Details
Cohen, Lauren, Umit Gurun, and N. Bugra Ozel. "Too Many Managers: The Strategic Use of Titles to Avoid Overtime Payments." NBER Working Paper Series, No. 30826, January 2023.
- December 2022
- Article
'Just Letting You Know…': Underestimating Others' Desire for Constructive Feedback
By: Nicole Abi-Esber, Jennifer E. Abel, Juliana Schroeder and Francesca Gino
People often avoid giving feedback to others even when it would help fix a problem immediately. Indeed, in a pilot field study (N=155), only 2.6% of individuals provided feedback to survey administrators that the administrators had food or marker on their faces.... View Details
Keywords: Feedback; Helping; Prosocial Behavior; Misprediction; Relationships; Interpersonal Communication; Perspective
Abi-Esber, Nicole, Jennifer E. Abel, Juliana Schroeder, and Francesca Gino. "'Just Letting You Know…': Underestimating Others' Desire for Constructive Feedback." Journal of Personality and Social Psychology 123, no. 6 (December 2022): 1362–1385.
- November 15, 2022
- Article
Using Simulations to Upskill Employees
By: Frank V. Cespedes, Trond Aas, Alex Hunt and Huw Newton-Hill
Reskilling employees tops the agenda in many organizations, according to a LinkedIn report. Korn Ferry estimates an 85-million person talent shortage by 2030, and McKinsey likens the challenge to the shift from agricultural to manufacturing work that occurred in the... View Details
Keywords: Employee Engagement; Managing People; Talent Development; Training; Human Capital; Experience and Expertise; Talent and Talent Management; Retention; Personal Development and Career
Cespedes, Frank V., Trond Aas, Alex Hunt, and Huw Newton-Hill. "Using Simulations to Upskill Employees." Harvard Business Review (website) (November 15, 2022).
- 2022
- Working Paper
How Do Investors Value ESG?
By: Malcolm Baker, Mark Egan and Suproteem K. Sarkar
Environmental, social, and governance (ESG) objectives have risen to near the top of the agenda for corporate executives and boards, driven in large part by their perceptions of shareholder interest. We quantify the value that shareholders place on ESG using a revealed... View Details
Keywords: Investment; Investment Portfolio; Corporate Social Responsibility and Impact; Business and Shareholder Relations; Environmental Sustainability; Governance; Financial Services Industry; United States
Baker, Malcolm, Mark Egan, and Suproteem K. Sarkar. "How Do Investors Value ESG?" NBER Working Paper Series, No. 30708, December 2022. (Harvard Business School Working Paper, No. 23-028, November 2022.)
- November 2022
- Article
Measuring Inequality beyond the Gini Coefficient May Clarify Conflicting Findings
By: Kristin Blesch, Oliver P. Hauser and Jon M. Jachimowicz
Prior research has found mixed results on how economic inequality is related to various outcomes. These contradicting findings may in part stem from a predominant focus on the Gini coefficient, which only narrowly captures inequality. Here, we conceptualize the... View Details
Keywords: Economic Inequalty; Gini Coefficient; Income Inequality; Equality and Inequality; Social Issues; Health; Status and Position
Blesch, Kristin, Oliver P. Hauser, and Jon M. Jachimowicz. "Measuring Inequality beyond the Gini Coefficient May Clarify Conflicting Findings." Nature Human Behaviour 6, no. 11 (November 2022): 1525–1536.
- November 2022
- Article
The Psychosocial Value of Employment: Evidence from a Refugee Camp
By: Reshmaan Hussam, Erin M. Kelley, Gregory Lane and Fatima Zahra
Employment may be important to wellbeing for reasons beyond its role as an income source. This paper presents a causal estimate of the psychosocial value of employment in refugee camps in Bangladesh. We involve 745 individuals in a field experiment with three arms: a... View Details
Hussam, Reshmaan, Erin M. Kelley, Gregory Lane, and Fatima Zahra. "The Psychosocial Value of Employment: Evidence from a Refugee Camp." American Economic Review 112, no. 11 (November 2022): 3694–3724.
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- October 2022
- Article
It’s Not Just the Prices: Time-Driven Activity-Based Costing for Initiation of Veno-Venous Extracorporeal Membrane Oxygenation at Three International Sites—A Case Review
By: Michael Nurok, Vin Pellegrino, Marc Pineton de Chambrun, Jonathan Warsh, Meredith Young, Erik Dong, Neil Parrish, Syed Shehab, Alain Combes and Robert S. Kaplan
The United States spends more for intensive care units (ICUs) than do other high-income countries. We used time-driven activity-based costing (TDABC) to analyze ICU costs for initiation of extracorporeal membrane oxygenation (ECMO) for respiratory failure to estimate... View Details
Keywords: Healthcare; Cost; Time-Driven ABC; Health Care and Treatment; Cost Management; Activity Based Costing and Management; Health Industry
Nurok, Michael, Vin Pellegrino, Marc Pineton de Chambrun, Jonathan Warsh, Meredith Young, Erik Dong, Neil Parrish, Syed Shehab, Alain Combes, and Robert S. Kaplan. "It’s Not Just the Prices: Time-Driven Activity-Based Costing for Initiation of Veno-Venous Extracorporeal Membrane Oxygenation at Three International Sites—A Case Review." Anesthesia & Analgesia 135, no. 4 (October 2022): 711–718.
- Article
Recovering Investor Expectations from Demand for Index Funds
By: Mark Egan, Alexander J. MacKay and Hanbin Yang
We use a revealed-preference approach to estimate investor expectations of stock market returns. Using data on demand for index funds that follow the S&P 500, we develop and estimate a model of investor choice to flexibly recover the time-varying distribution of... View Details
Keywords: Stock Market Expectations; Demand Estimation; Exchange-traded Funds (ETFs); Demand and Consumers; Investment
Egan, Mark, Alexander J. MacKay, and Hanbin Yang. "Recovering Investor Expectations from Demand for Index Funds." Review of Economic Studies 89, no. 5 (October 2022): 2559–2599.