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- All HBS Web
(2,543)
- Faculty Publications (468)
- 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.
- September 2022
- Article
Tone at the Bottom: Measuring Corporate Misconduct Risk from the Text of Employee Reviews
By: Dennis W. Campbell and Ruidi Shang
This paper examines whether information extracted via text-based statistical methods applied to employee reviews left on the website Glassdoor.com can be used to develop indicators of corporate misconduct risk. We argue that inside information on the incidence of... View Details
Keywords: Management Accounting; Management Control; Corporate Culture; Corporate Misconduct; Risk Measurement; Organizational Culture; Crime and Corruption; Risk and Uncertainty; Measurement and Metrics
Campbell, Dennis W., and Ruidi Shang. "Tone at the Bottom: Measuring Corporate Misconduct Risk from the Text of Employee Reviews." Management Science 68, no. 9 (September 2022): 7034–7053.
- 2022
- Article
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju
As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it... View Details
Dai, Jessica, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach, and Himabindu Lakkaraju. "Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 203–214.
- 2022
- Article
Towards Robust Off-Policy Evaluation via Human Inputs
By: Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju
Off-policy Evaluation (OPE) methods are crucial tools for evaluating policies in high-stakes domains such as healthcare, where direct deployment is often infeasible, unethical, or expensive. When deployment environments are expected to undergo changes (that is, dataset... View Details
Singh, Harvineet, Shalmali Joshi, Finale Doshi-Velez, and Himabindu Lakkaraju. "Towards Robust Off-Policy Evaluation via Human Inputs." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 686–699.
- July 2022
- Article
Estimating Spillovers from Publicly Funded R&D: Evidence from the US Department of Energy
By: Kyle Myers and Lauren Lanahan
We quantify the magnitude of R&D spillovers created by grants to small firms from the US Department of Energy. Our empirical strategy leverages variation due to state-specific matching policies, and we develop a new approach to measuring both geographic and... View Details
Keywords: Innovation; Energy; R&D; Grants; Innovation and Invention; Research and Development; Patents; Performance; United States
Myers, Kyle, and Lauren Lanahan. "Estimating Spillovers from Publicly Funded R&D: Evidence from the US Department of Energy." American Economic Review 112, no. 7 (July 2022): 2393–2423.
- 2022
- Working Paper
Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments
By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso
We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s... View Details
Chen, Fanglin, Xiao Liu, Davide Proserpio, and Isamar Troncoso. "Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments." NYU Stern School of Business Research Paper Series, July 2022.
- July 2022
- Article
The Passionate Pygmalion Effect: Passionate Employees Attain Better Outcomes in Part Because of More Preferential Treatment by Others
By: Ke Wang, Erica R. Bailey and Jon M. Jachimowicz
Employees are increasingly exhorted to “pursue their passion” at work. Inherent in this call is the belief that passion will produce higher performance because it promotes intrapersonal processes that propel employees forward. Here, we suggest that the pervasiveness of... View Details
Keywords: Passion; Self-fufilling Prophecy; Lay Beliefs; Interpersonal Processes; Employees; Performance; Attitudes; Organizational Culture; Social Psychology
Wang, Ke, Erica R. Bailey, and Jon M. Jachimowicz. "The Passionate Pygmalion Effect: Passionate Employees Attain Better Outcomes in Part Because of More Preferential Treatment by Others." Journal of Experimental Social Psychology 101 (July 2022).
- June 2022 (Revised January 2025)
- Technical Note
Causal Inference
This note provides an overview of causal inference for an introductory data science course. First, the note discusses observational studies and confounding variables. Next the note describes how randomized experiments can be used to account for the effect of... View Details
Keywords: Causal Inference; Causality; Experiment; Experimental Design; Data Science; Analytics and Data Science
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Causal Inference." Harvard Business School Technical Note 622-111, June 2022. (Revised January 2025.)
- 2022
- Working Paper
Are Experts Blinded by Feasibility?: Experimental Evidence from a NASA Robotics Challenge
By: Jacqueline N. Lane, Zoe Szajnfarber, Jason Crusan, Michael Menietti and Karim R. Lakhani
Resource allocation decisions play a dominant role in shaping a firm’s technological trajectory and competitive advantage. Recent work indicates that innovative firms and scientific institutions tend to exhibit an anti-novelty bias when evaluating new projects and... View Details
Keywords: Evaluations; Novelty; Feasibility; Field Experiment; Resource Allocation; Technological Innovation; Competitive Advantage; Decision Making
Lane, Jacqueline N., Zoe Szajnfarber, Jason Crusan, Michael Menietti, and Karim R. Lakhani. "Are Experts Blinded by Feasibility? Experimental Evidence from a NASA Robotics Challenge." Harvard Business School Working Paper, No. 22-071, May 2022.
- 2022
- Chapter
Lessons Learned from Support to Business during COVID-19
By: Gabriel Chodorow-Reich, Benjamin Iverson and Adi Sunderam
The authors survey the new federal subsidies and loans provided to businesses in the first year of the pandemic—including the Paycheck Protection Program (PPP), the Economic Injury Disaster Loan (EIDL) program, and aid targeted at specific industries such as airlines... View Details
Chodorow-Reich, Gabriel, Benjamin Iverson, and Adi Sunderam. "Lessons Learned from Support to Business during COVID-19." Chap. 4 in Recession Remedies: Lessons Learned from the U.S. Economic Policy Response to COVID-19, edited by Wendy Edelberg, Louise Sheiner, and David Wessel, 123–162. Brookings Institution Press, 2022.
- April 2022
- Teaching Note
Tempur Sealy International (A, B & C)
By: Benjamin C. Esty and Daniel Fisher
Teaching Note for HBS Case Nos. 718-422, 718-423, and 718-424. The cases explore the long-term relationship between Tempur Sealy (TPX, a mattress manufacturer) and Mattress Firm (MFRM, a bedding retailer and TPX's largest customer). For almost 20 years, the firms... View Details
Keywords: Porter's 5 Forces; Bargaining Power; Buyer Power; Customer Power; Supplier Power; Negotiations; Value Capture; Private Equity; Consumer Durables; Consumer Discretionary; Mattresses; B-2-B; Industry Dynamics; Leadership; Compensation; Corporate Strategy; Business Strategy; Value Creation; Competition; Cooperation; Distribution; Negotiation; Industry Structures; Customers; Relationships; Distribution Industry; Manufacturing Industry; Retail Industry; Consumer Products Industry; United States; South Africa
- April 2022
- Case
The First Opium War and Global Free Trade
By: Jeremy Friedman and Allison Lazarus
The First Opium War (1839-1842) symbolized the peak of the era of European imperialism, with a political and cultural legacy that remains potent to this day. The British Empire, “acquired in a fit of absent-mindedness” as one observer famously claimed, seemed to be... View Details
Keywords: Imperialism; Narcotics; Importing; History; Globalized Markets and Industries; Trade; Social Issues
Friedman, Jeremy, and Allison Lazarus. "The First Opium War and Global Free Trade." Harvard Business School Case 722-052, April 2022.
- 2022
- Working Paper
Transferable Skills? Founders as Venture Capitalists
By: Paul A. Gompers and Vladimir Mukharlyamov
In this paper we explore whether or not the experience as a founder of a venture capital-backed startup influences the performance of founders who become venture capitalists (VCs). We find that nearly 7% of VCs were previously founders of a venture-backed startup.... View Details
Keywords: Founders; Venture Capital; Entrepreneurship; Performance; Personal Development and Career; Success
Gompers, Paul A., and Vladimir Mukharlyamov. "Transferable Skills? Founders as Venture Capitalists." NBER Working Paper Series, No. 29907, April 2022.
- March 2022 (Revised February 2024)
- Case
El Salvador: Launching Bitcoin as Legal Tender
By: Laura Alfaro, Carla Larangeira and Ruth Costas
In June 2021, Nayib Bukele, El Salvador’s president, surprised the world with the announcement that the country would adopt bitcoin as legal tender, becoming the first nation to do so. Bitcoin was mostly used for trading and had one of the most volatile track records... View Details
Keywords: Bitcoin; Cryptocurrency; Currency; Financial Strategy; Economic Growth; Governance; Macroeconomics; Assets; Latin America; El Salvador
Alfaro, Laura, Carla Larangeira, and Ruth Costas. "El Salvador: Launching Bitcoin as Legal Tender." Harvard Business School Case 322-055, March 2022. (Revised February 2024.)
- 2022
- Article
Social Interactivity in Live Video Experiences Reduces Loneliness
By: Benjamin T. Kaveladze, Robert R. Morris, Rosa Victoria Dimitrova-Gammeltoft, Amit Goldenberg, James J. Gross, Judd Antin, Melissa Sandgren and Melissa C. Thomas-Hunt
Background: Loneliness, especially when chronic, can substantially reduce one's quality of life. However, positive social experiences might help to break cycles of loneliness by promoting more prosocial cognitions and behaviors. Internet-mediated live video... View Details
Keywords: Lonelines; Social Connection; Internet-mediated Communication; Experiment; Emotions; Well-being; Interpersonal Communication; Internet
Kaveladze, Benjamin T., Robert R. Morris, Rosa Victoria Dimitrova-Gammeltoft, Amit Goldenberg, James J. Gross, Judd Antin, Melissa Sandgren, and Melissa C. Thomas-Hunt. "Social Interactivity in Live Video Experiences Reduces Loneliness." Frontiers in Digital Health 4:859849 (2022).
- Article
Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)
By: Eva Ascarza and Ayelet Israeli
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details
Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
- 2022
- Working Paper
Can a Website Bring Unemployment Down? Experimental Evidence from France
By: Aïcha Ben Dhia, Bruno Crépon, Esther Mbih, Louise Paul-Delvaux, Bertille Picard and Vincent Pons
We evaluate the impact of an online platform giving job seekers tips to improve their search and recommendations of new occupations and locations to target, based on their personal data and labor market data. Our experiment used an encouragement design and was... View Details
Keywords: Online Platform; Digital Platform; Unemployment; Encouragement Design; Job Search; Jobs and Positions; Internet and the Web; Well-being; Outcome or Result; Digital Platforms; France
Ben Dhia, Aïcha, Bruno Crépon, Esther Mbih, Louise Paul-Delvaux, Bertille Picard, and Vincent Pons. "Can a Website Bring Unemployment Down? Experimental Evidence from France." NBER Working Paper Series, No. 29914, April 2022.
- 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
- Article
Which Corporate ESG News Does the Market React To?
By: George Serafeim and Aaron Yoon
Using a dataset that classifies firm-level ESG news as positive and negative, we examine how stock prices react to different types of ESG news. We analyze 111,020 firm-day observations for 3,126 companies and find that prices react only to issues identified as... View Details
Keywords: ESG; ESG (Environmental, Social, Governance) Performance; ESG Ratings; Social Capital; Environment; Sustainability; CSR; Stock Price; Stock Market Expectations; Materiality; Market Reaction; Environmental Sustainability; Governance; Social Issues; Performance; News
Serafeim, George, and Aaron Yoon. "Which Corporate ESG News Does the Market React To?" Financial Analysts Journal 78, no. 1 (2022): 59–78.
- 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.