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- All HBS Web
(3,353)
- Faculty Publications (800)
- September 2023
- Article
Addressing Vaccine Hesitancy: Experimental Evidence from Nine Countries during the COVID-19 Pandemic
By: Vincenzo Galasso, Vincent Pons, Paola Profeta, Martin McKee, David Stuckler, Michael Becher, Sylvain Brouard and Martial Foucault
We study the impact of public health messages on intentions to vaccinate and vaccination uptakes, especially among hesitant groups. We performed an experiment comparing the effects of egoistic and altruistic messages on COVID-19 vaccine intentions and behaviour. We... View Details
Keywords: COVID-19; Vaccination; Vaccine Hesitancy; Information Campaigns; Health Pandemics; Behavior; Information
Galasso, Vincenzo, Vincent Pons, Paola Profeta, Martin McKee, David Stuckler, Michael Becher, Sylvain Brouard, and Martial Foucault. "Addressing Vaccine Hesitancy: Experimental Evidence from Nine Countries during the COVID-19 Pandemic." BMJ Global Health 8, no. 9 (September 2023).
- 2025
- Working Paper
Better Keep the Twenty Dollars: Incentivizing Innovation in Open Source
By: Annamaria Conti, Vansh Gupta, Jorge Guzman and Maria P. Roche
Open source is key to innovation yet is assumed to be done largely through intrinsic motivation. How can we incentivize it? In this paper, we examine the impact of a program providing monetary incentives to motivate innovators to contribute to open source. The Sponsors... View Details
Keywords: Open Source; Innovation; Incentives; Financial Rewards; Crowding Out; Open Source Distribution; Innovation and Invention; Motivation and Incentives; Technology Industry
Conti, Annamaria, Vansh Gupta, Jorge Guzman, and Maria P. Roche. "Better Keep the Twenty Dollars: Incentivizing Innovation in Open Source." Harvard Business School Working Paper, No. 24-014, September 2023. (Revised January 2025. NBER Working Paper Series, No. 31668, September 2023)
- September–October 2023
- Article
Interpretable Matrix Completion: A Discrete Optimization Approach
By: Dimitris Bertsimas and Michael Lingzhi Li
We consider the problem of matrix completion on an n × m matrix. We introduce the problem of interpretable matrix completion that aims to provide meaningful insights for the low-rank matrix using side information. We show that the problem can be... View Details
Keywords: Mathematical Methods
Bertsimas, Dimitris, and Michael Lingzhi Li. "Interpretable Matrix Completion: A Discrete Optimization Approach." INFORMS Journal on Computing 35, no. 5 (September–October 2023): 952–965.
- September 2023
- Article
The Health Costs of Dirty Energy: Evidence from the Capacity Market in Colombia
By: Achyuta Adhvaryu, Theresa Molina, Anant Nyshadham, Jorge Tamayo and Nicholas Torres
The health effects of “dirty” (fossil fuel driven) energy production are difficult to measure accurately due to the endogeneity of fuel choice. We exploit an electricity policy in Colombia that generates a price-based trigger for the use of thermal energy sources.... View Details
Adhvaryu, Achyuta, Theresa Molina, Anant Nyshadham, Jorge Tamayo, and Nicholas Torres. "The Health Costs of Dirty Energy: Evidence from the Capacity Market in Colombia." Art. 103116. Journal of Development Economics 164 (September 2023).
- 2023
- Working Paper
The Stock Market and Bank Risk-Taking
By: David S. Scharfstein and Antonio Falato
Using confidential supervisory risk ratings, we document that banks increase risk after they go public compared to a control group of banks that filed to go public but withdrew their filings for plausibly exogenous reasons. The increase in risk increases short-term... View Details
Scharfstein, David S., and Antonio Falato. "The Stock Market and Bank Risk-Taking." Working Paper, September 2023.
- September 2023
- Article
Top Talent, Elite Colleges, and Migration: Evidence from the Indian Institutes of Technology
By: Prithwiraj Choudhury, Ina Ganguli and Patrick Gaulé
We study migration in the right tail of the talent distribution using a novel dataset of Indian high school students taking the Joint Entrance Exam (JEE), a college entrance exam used for admission to the prestigious Indian Institutes of Technology (IIT). We find a... View Details
Choudhury, Prithwiraj, Ina Ganguli, and Patrick Gaulé. "Top Talent, Elite Colleges, and Migration: Evidence from the Indian Institutes of Technology." Art. 103120. Journal of Development Economics 164 (September 2023).
- August 2023
- Article
What About the Race Between Technology and Education in the Global South? Comparing Skill-premiums in Colonial Africa and Asia
By: Ewout Frankema and Marlous van Waijenburg
Historical research on the race between education and technology has focused on the West but barely touched upon ‘the rest’. A new occupational wage database for 50 African and Asian economies allows us to compare long-run patterns in skill premiums across the colonial... View Details
Frankema, Ewout, and Marlous van Waijenburg. "What About the Race Between Technology and Education in the Global South? Comparing Skill-premiums in Colonial Africa and Asia." Economic History Review 76, no. 3 (August 2023): 941–978.
- 2023
- Working Paper
Beyond the Hype: Unveiling the Marginal Benefits of 3D Virtual Tours in Real Estate
By: Mengxia Zhang and Isamar Troncoso
3D virtual tours (VTs) have become a popular digital tool in real estate platforms, enabling potential buyers to virtually walk through the houses they search for online. In this paper, we study home sellers’ adoption of VTs and the VTs’ relative benefits compared to... View Details
Zhang, Mengxia, and Isamar Troncoso. "Beyond the Hype: Unveiling the Marginal Benefits of 3D Virtual Tours in Real Estate." Harvard Business School Working Paper, No. 24-003, July 2023.
- 2023
- Article
Evidence from the First Shared Medical Appointments (SMAs) Randomised Controlled Trial in India: SMAs Increase the Satisfaction, Knowledge, and Medication Compliance of Patients with Glaucoma
By: Nazlı Sönmez, Kavitha Srinivasan, Rengaraj Venkatesh, Ryan W. Buell and Kamalini Ramdas
In Shared Medical Appointments (SMAs), patients with similar conditions meet the physician together and each receives one-on-one attention. SMAs can improve outcomes and physician productivity. Yet privacy concerns have stymied adoption. In physician-deprived nations,... View Details
Sönmez, Nazlı, Kavitha Srinivasan, Rengaraj Venkatesh, Ryan W. Buell, and Kamalini Ramdas. "Evidence from the First Shared Medical Appointments (SMAs) Randomised Controlled Trial in India: SMAs Increase the Satisfaction, Knowledge, and Medication Compliance of Patients with Glaucoma." e0001648. PLoS Global Public Health 3, no. 7 (2023).
- July 2023
- Article
Negative Expressions Are Shared More on Twitter for Public Figures Than for Ordinary Users
By: Jonas P. Schöne, David Garcia, Brian Parkinson and Amit Goldenberg
Social media users tend to produce content that contains more positive than negative emotional language. However, negative emotional language is more likely to be shared. To understand why, research has thus far focused on psychological processes associated with... View Details
Schöne, Jonas P., David Garcia, Brian Parkinson, and Amit Goldenberg. "Negative Expressions Are Shared More on Twitter for Public Figures Than for Ordinary Users." PNAS Nexus 2, no. 7 (July 2023).
- July 11, 2023
- Article
How Reputation Does (and Does Not) Drive People to Punish Without Looking
By: Jillian J. Jordan and Nour S. Kteily
Punishing wrongdoers can confer reputational benefits, and people sometimes punish without careful consideration. But are these observations related? Does reputation drive people to people to “punish without looking”? And if so, is this because unquestioning... View Details
Keywords: Opposing Perspectives; Outrage Culture; Signaling; Ideology; Moralistic Punishment; Perspective; Behavior; Reputation; Decision Making
Jordan, Jillian J., and Nour S. Kteily. "How Reputation Does (and Does Not) Drive People to Punish Without Looking." Proceedings of the National Academy of Sciences 120, no. 28 (July 11, 2023).
- 2023
- Working Paper
Keep Your Enemies Closer: Strategic Platform Adjustments during U.S. and French Elections
By: Rafael Di Tella, Randy Kotti, Caroline Le Pennec and Vincent Pons
A key tenet of representative democracy is that politicians' discourse and policies should follow voters' preferences. In the median voter theorem, this outcome emerges as candidates strategically adjust their platform to get closer to their opponent. Despite its... View Details
Di Tella, Rafael, Randy Kotti, Caroline Le Pennec, and Vincent Pons. "Keep Your Enemies Closer: Strategic Platform Adjustments during U.S. and French Elections." NBER Working Paper Series, No. 31503, July 2023.
- July 2023
- Article
So, Who Likes You? Evidence from a Randomized Field Experiment
By: Ravi Bapna, Edward McFowland III, Probal Mojumder, Jui Ramaprasad and Akhmed Umyarov
With one-third of marriages in the United States beginning online, online dating platforms have become important curators of the modern social fabric. Prior work on online dating has elicited two critical frictions in the heterosexual dating market. Women, governed by... View Details
Keywords: Online Dating; Internet and the Web; Analytics and Data Science; Gender; Emotions; Social and Collaborative Networks
Bapna, Ravi, Edward McFowland III, Probal Mojumder, Jui Ramaprasad, and Akhmed Umyarov. "So, Who Likes You? Evidence from a Randomized Field Experiment." Management Science 69, no. 7 (July 2023): 3939–3957.
- 2023
- Book
The State and Capitalism in China
By: Meg Rithmire, Margaret M. Pearson and Kellee S. Tsai
This element explains China's political economic evolution from state socialist economy to a reform era state capitalism model to a more politicized, risk management approach we call "party-state capitalism." We emphasize the internal and external sources of perceived... View Details
Keywords: China's Political Economy; State Capitalism; State-business Relations; State Ownership; Economic Systems; Government and Politics; Governing Rules, Regulations, and Reforms; Business and Government Relations; China
Rithmire, Meg, Margaret M. Pearson, and Kellee S. Tsai. The State and Capitalism in China. Cambridge Elements, Elements in Politics and Society in East Asia. New York: Cambridge University Press, 2023.
- June 2023
- Case
Accounting for Loan Losses at JPMorgan Chase: Predicting Credit Costs
By: Jonas Heese, Jung Koo Kang and James Weber
The case examines the accounting for loan losses at a large bank, how a bank sets its Allowance for Loan and Lease Losses (ALLL) on its financial statements. ALLL, and the rules that set them, determine when banks would and would not extend loans, which significantly... View Details
Keywords: Accounting Standards; Accrual Accounting; Financial Statements; Financial Reporting; Banks and Banking; Financing and Loans; Banking Industry; United States
Heese, Jonas, Jung Koo Kang, and James Weber. "Accounting for Loan Losses at JPMorgan Chase: Predicting Credit Costs." Harvard Business School Case 123-042, June 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.
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- May 2023 (Revised June 2023)
- Case
Harvard University and Urban Mining Industries: Decarbonizing the Supply Chain
By: Shirley Lu and Robert S. Kaplan
The case describes Harvard University’s consideration to decarbonize its supply chain by replacing cement with a low-carbon substitute called Pozzotive®. Developed and produced by Urban Mining Industries, Pozzotive® is a ground-glass material made with post-consumer... View Details
Keywords: Carbon Emissions; Blockchain; Supply Chain; Green Technology; Climate Change; Environmental Sustainability
Lu, Shirley, and Robert S. Kaplan. "Harvard University and Urban Mining Industries: Decarbonizing the Supply Chain." Harvard Business School Case 123-076, May 2023. (Revised June 2023.)
- May 2023
- Article
How Do Campaigns Shape Vote Choice? Multi-Country Evidence from 62 Elections and 56 TV Debates
By: Caroline Le Pennec and Vincent Pons
We use two-round survey data from 62 elections in 10 countries since 1952 to study the formation of vote choice, beliefs, and policy preferences and assess how televised debates contribute to this process. Our data include 253,000 observations. We compare the... View Details
Keywords: Political Debates; TV Debates; Voting; Political Elections; Decision Choices and Conditions
Le Pennec, Caroline, and Vincent Pons. "How Do Campaigns Shape Vote Choice? Multi-Country Evidence from 62 Elections and 56 TV Debates." Quarterly Journal of Economics 138 (May 2023): 703–767.
- 2024
- Working Paper
Using LLMs for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have rapidly gained popularity as labor-augmenting
tools for programming, writing, and many other processes that benefit from quick text
generation. In this paper we explore the uses and benefits of LLMs for researchers and
practitioners... View Details
Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)