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Evidence
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- 2023
- Working Paper
Complexity and Hyperbolic Discounting
By: Benjamin Enke, Thomas Graeber and Ryan Oprea
A large literature shows that people discount financial rewards hyperbolically instead of exponentially. While discounting of money has been questioned as a measure of time preferences, it continues to be highly relevant in empirical practice and predicts a wide range... View Details
Keywords: Hyperbolic Discounting; Present Bias; Bounded Rationality; Cognitive Uncertainty; Behavioral Finance
Enke, Benjamin, Thomas Graeber, and Ryan Oprea. "Complexity and Hyperbolic Discounting." Harvard Business School Working Paper, No. 24-048, February 2024.
- November 2023
- Article
Knowledge About the Source of Emotion Predicts Emotion-Regulation Attempts, Strategies, and Perceived Emotion-Regulation Success
By: Yael Millgram, Matthew K. Nock, David D. Bailey and Amit Goldenberg
People’s ability to regulate emotions is crucial to healthy emotional functioning. One overlooked aspect in emotion-regulation research is that knowledge about the source of emotions can vary across situations and individuals, which could impact people’s ability to... View Details
Millgram, Yael, Matthew K. Nock, David D. Bailey, and Amit Goldenberg. "Knowledge About the Source of Emotion Predicts Emotion-Regulation Attempts, Strategies, and Perceived Emotion-Regulation Success." Psychological Science 34, no. 11 (November 2023): 1244–1255.
- 2023
- Article
MoPe: Model Perturbation-based Privacy Attacks on Language Models
By: Marvin Li, Jason Wang, Jeffrey Wang and Seth Neel
Recent work has shown that Large Language Models (LLMs) can unintentionally leak sensitive information present in their training data. In this paper, we present Model Perturbations (MoPe), a new method to identify with high confidence if a given text is in the training... View Details
Li, Marvin, Jason Wang, Jeffrey Wang, and Seth Neel. "MoPe: Model Perturbation-based Privacy Attacks on Language Models." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2023): 13647–13660.
- 2023
- Working Paper
The Impact of Unionization on Consumer Perceptions of Service Quality: Evidence from Starbucks
By: Isamar Troncoso, Minkyung Kim, Ishita Chakraborty and SooHyun Kim
The US has seen a rise in union movements, but their effects on service industry marketing outcomes like customer satisfaction and perceptions of service quality remain understudied. In this paper, we empirically study the impact on customer satisfaction and... View Details
Keywords: Labor Unions; Customer Satisfaction; Perception; Public Opinion; Employees; Food and Beverage Industry
Troncoso, Isamar, Minkyung Kim, Ishita Chakraborty, and SooHyun Kim. "The Impact of Unionization on Consumer Perceptions of Service Quality: Evidence from Starbucks." Working Paper, 2023.
- December 2023
- Article
What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data
By: Alberto Cavallo and Oleksiy Kryvtsov
We use a detailed micro dataset on product availability and stockouts to construct a direct high-frequency measure of consumer product shortages during the 2020-2022 pandemic. We document a widespread multi-fold rise in stockouts in nearly all sectors early in the... View Details
Keywords: Prices; Stockouts; Inventories; Supply Disruptions; COVID-19 Pandemic; Supply Chain; Product; Demand and Consumers
Cavallo, Alberto, and Oleksiy Kryvtsov. "What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data." Journal of International Economics 146 (December 2023).
- 2023
- Working Paper
What Makes Managers’ Private Disclosures Informative? Evidence from Professional Investors
By: Michael Durney, Hoyoun Kyung, Jihwon Park and Eugene F. Soltes
- 2023
- Working Paper
Learning by Investing: Entrepreneurial Spillovers from Venture Capital
By: Josh Lerner, Jinlin Li and Tong Liu
This paper studies how investing in venture capital (VC) affects the entrepreneurial outcomes of individual limited partners (LPs). Using comprehensive administrative data on entrepreneurial activities and VC fundraising and investments in China, we first document that... View Details
Lerner, Josh, Jinlin Li, and Tong Liu. "Learning by Investing: Entrepreneurial Spillovers from Venture Capital." Harvard Business School Working Paper, No. 24-029, November 2023.
- November 2023
- Article
Brokerage House Initial Public Offerings and Analyst Forecast Quality
By: Mark Bradshaw, Michael Drake, Joseph Pacelli and Brady Twedt
We examine how brokerage firm initial public offerings (IPOs) influence the research quality of sell-side analysts employed by the brokerage. Our main results focus on earnings forecast bias and absolute forecast errors as proxies for research quality. Using a... View Details
Keywords: IPOs; Research Analysts; "Brokerage Industry; Initial Public Offering; Employees; Behavior; Outcome or Result
Bradshaw, Mark, Michael Drake, Joseph Pacelli, and Brady Twedt. "Brokerage House Initial Public Offerings and Analyst Forecast Quality." Management Science 69, no. 11 (November 2023): 7079–7094.
- 2023
- Working Paper
Do Active Funds Do Better in What They Trade?
By: Marco Sammon and John J. Shim
We develop two new, simple measures to quantify active fund decisions at the individual position level. The intuition is to separate passive rebalancing induced by flows and position changes from active rebalancing decisions. We find that additive active rebalancing --... View Details
Sammon, Marco, and John J. Shim. "Do Active Funds Do Better in What They Trade?" Working Paper, November 2023.
- November 2023
- Article
Open Source Software and Global Entrepreneurship
By: Nataliya Langburd Wright, Frank Nagle and Shane Greenstein
This is the first study to consider the relationship between open source software (OSS) and
entrepreneurship around the globe. This study measures whether country-level participation on
the GitHub OSS platform affects the founding of innovative ventures, and where it... View Details
Keywords: Entrepreneurship; Applications and Software; Business Ventures; Development Economics; Innovation and Invention; Global Range
Wright, Nataliya Langburd, Frank Nagle, and Shane Greenstein. "Open Source Software and Global Entrepreneurship." Art. 104846. Research Policy 52, no. 9 (November 2023).
- November 2023
- Article
Psychological Factors Underlying Attitudes toward AI Tools
By: Julian De Freitas, Stuti Agarwal, B. Schmitt and N. Haslam
What are the psychological factors driving attitudes toward AI tools, and how can resistance to AI systems be overcome when they are beneficial? In this perspective, we first organize the main sources of resistance into five main categories: opacity, emotionlessness,... View Details
De Freitas, Julian, Stuti Agarwal, B. Schmitt, and N. Haslam. "Psychological Factors Underlying Attitudes toward AI Tools." Nature Human Behaviour 7, no. 11 (November 2023): 1845–1854.
- 2023
- Working Paper
The Buy-In Effect: When Increasing Initial Effort Motivates Behavioral Follow-Through
By: Holly Dykstra, Shibeal O'Flaherty and A.V. Whillans
Behavioral interventions often focus on reducing friction to encourage behavior change. In
contrast, we provide evidence that adding friction can promote long-term behavior change when
behaviors involve repeated costly efforts over longer time horizons. In... View Details
Dykstra, Holly, Shibeal O'Flaherty, and A.V. Whillans. "The Buy-In Effect: When Increasing Initial Effort Motivates Behavioral Follow-Through." Harvard Business School Working Paper, No. 24-020, October 2023.
- 2025
- Working Paper
How Do Voters Respond to Cues by Charismatic Leaders? Evidence from Brazil
By: Paula Rettl
While elite-cue effects on public opinion are well-documented, questions remain as
to when and why voters use elite cues to inform their opinions and behaviors. This
study contributes to answer these questions by testing whether voters react to cues
by charismatic... View Details
Keywords: Elites; Public Engagement; Politics; Political Affiliation; Political Campaigns; Political Influence; Political Leadership; Political Economy; Survey Research; COVID-19; COVID-19 Pandemic; COVID; Cognitive Psychology; Cognitive Biases; Political Elections; Voting; Power and Influence; Identity; Behavior; Latin America; Brazil
Rettl, Paula. "How Do Voters Respond to Cues by Charismatic Leaders? Evidence from Brazil." Harvard Business School Working Paper, No. 24-022, October 2023. (Revised June 2025.)
- October 2023
- Article
Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA
By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
We study how a regulator can best target inspections. Our case study is a U.S. Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years.... View Details
Keywords: Safety Regulations; Regulations; Regulatory Enforcement; Machine Learning Models; Safety; Operations; Service Operations; Production; Forecasting and Prediction; Decisions; United States
Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA." American Economic Journal: Applied Economics 15, no. 4 (October 2023): 30–67. (Profiled in the Regulatory Review.)
- 2023
- Working Paper
The Effect of Childhood Environment on Political Behavior: Evidence from Young U.S. Movers, 1992–2021
By: Jacob R. Brown, Enrico Cantoni, Sahil Chinoy, Martin Koenen and Vincent Pons
We ask how childhood environment shapes political behavior. We measure young voters’ participation and party affiliation in nationally comprehensive voter files and reconstruct their childhood location histories based on their parents’ addresses. We compare outcomes of... View Details
Brown, Jacob R., Enrico Cantoni, Sahil Chinoy, Martin Koenen, and Vincent Pons. "The Effect of Childhood Environment on Political Behavior: Evidence from Young U.S. Movers, 1992–2021." NBER Working Paper Series, No. 31759, October 2023.
- 2025
- Working Paper
The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling
By: Caleb Kwon, Antonio Moreno and Ananth Raman
Problem Definition: Considerable academic and practitioner attention is placed on the value of ex-post interactions (i.e., overrides) in the human-AI interface. In contrast, relatively little attention has been paid to ex-ante human-AI interactions (e.g., the... View Details
Kwon, Caleb, Antonio Moreno, and Ananth Raman. "The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling." Working Paper, January 2025.
- 2023
- Working Paper
The Real Effects of Fair Workweek Laws on Work Schedules: Evidence from Chicago, Los Angeles, and Philadelphia
By: Caleb Kwon and Ananth Raman
Effective in eight jurisdictions and banned in four, Fair Workweek Laws (FWL) aim to increase the predictability and stability of work schedules. Among other requirements, these laws penalize employers for unilaterally adjusting work schedules without providing some... View Details
Kwon, Caleb, and Ananth Raman. "The Real Effects of Fair Workweek Laws on Work Schedules: Evidence from Chicago, Los Angeles, and Philadelphia." Working Paper, October 2023.
- 2023
- Working Paper
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
- 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
Global Harms, Local Profits: How the Uneven Costs of Natural Disasters Affect Support for Green Political Platforms
By: Silvia Pianta and Paula Rettl
Large-scale fires are becoming increasingly common due to climate change. While conventional
wisdom suggests that firsthand experiences with natural disasters foster green coalitions
by raising awareness of environmental degradation, we propose an alternative... View Details
Keywords: Climate Impact; Politics; Environmental Issues; Environmental Protection; Economic Analysis; Economic Behavior; Economic Geography; Economy; Economics; Climate Change; Environmental Management; Political Elections; Natural Disasters; Green Technology; Environmental Sustainability; Latin America; Brazil
Pianta, Silvia, and Paula Rettl. "Global Harms, Local Profits: How the Uneven Costs of Natural Disasters Affect Support for Green Political Platforms." Harvard Business School Working Paper, No. 24-023, September 2023. (Revised June 2025.)