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- 2024
- Article
Investing in the Next Generation: The Long-Run Impacts of a Liquidity Shock
By: Patrick Agte, Arielle Bernhardt, Erica M. Field, Rohini Pande and Natalia Rigol
How do poor entrepreneurs trade off investments in business enterprises versus children's human capital, and how do these choices influence intergenerational socio-economic mobility? To examine this, we exploit experimental variation in household income resulting from...
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Keywords:
Socio-economic Mobility
- 2024
- Working Paper
How Real Is Hypothetical?: A High-Stakes Test of the Allais Paradox
By: Uri Gneezy, Yoram Halevy, Brian Hall, Theo Offerman and Jeroen van de Ven
Researchers in behavioral and experimental economics often argue that only
incentive-compatible mechanisms can elicit effort and truthful responses from participants.
Others argue that participants make less-biased decisions when the stakes
are sufficiently high....
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Gneezy, Uri, Yoram Halevy, Brian Hall, Theo Offerman, and Jeroen van de Ven. "How Real Is Hypothetical? A High-Stakes Test of the Allais Paradox." Harvard Business School Working Paper, No. 25-005, August 2024.
- 2024
- Article
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules
By: Michael Lingzhi Li and Kosuke Imai
A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across...
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Li, Michael Lingzhi, and Kosuke Imai. "Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules." Journal of Causal Inference 12, no. 1 (2024).
- August 20, 2024
- Article
Sexual Assault Victims Face a Penalty for Adjacent Consent
By: Jillian J. Jordan and Roseanna Sommers
Across 11 experimental studies (n = 12,257), we show that female victims of sexual assault are blamed more and seen as less morally virtuous if their assault follows voluntary sexual intimacy, a factor we term “adjacent consent”. Moreover, we illuminate a...
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Jordan, Jillian J., and Roseanna Sommers. "Sexual Assault Victims Face a Penalty for Adjacent Consent." Proceedings of the National Academy of Sciences 121, no. 34 (August 20, 2024).
- Working Paper
The Returns to Skills During the Pandemic: Experimental Evidence from Uganda
By: Livia Alfonsi, Vittorio Bassi, Imran Rasul and Elena Spadini
The Covid-19 pandemic represents one of the most significant labor market shocks to the world economy in recent times. We present evidence from a field experiment to understand whether and why skilled and unskilled workers were differentially impacted by the shock, in...
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Keywords:
COVID-19 Pandemic;
System Shocks;
Labor;
Competency and Skills;
Development Economics;
Uganda
Alfonsi, Livia, Vittorio Bassi, Imran Rasul, and Elena Spadini. "The Returns to Skills During the Pandemic: Experimental Evidence from Uganda." Harvard Business School Working Paper, No. 25-003, August 2024. (NBER Working Paper Series, No. 32785, August 2024.)
- 2024
- Working Paper
Webmunk: A New Tool for Studying Online Behavior and Digital Platforms
By: Chiara Farronato, Audrey Fradkin and Chris Karr
Understanding the behavior of users online is important for researchers, policymakers, and private companies alike. But observing online behavior and conducting experiments is difficult without direct access to the user base and software of technology companies. We...
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Farronato, Chiara, Audrey Fradkin, and Chris Karr. "Webmunk: A New Tool for Studying Online Behavior and Digital Platforms." NBER Working Paper Series, No. 32694, July 2024.
- 2024
- Working Paper
Don’t Expect Juniors to Teach Senior Professionals to Use Generative AI: Emerging Technology Risks and Novice AI Risk Mitigation Tactics
By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani
The literature on communities of practice demonstrates that a proven way for senior professionals to upskill
themselves in the use of new technologies that undermine existing expertise is to learn from junior
professionals. It notes that juniors may be better able...
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Kellogg, Katherine C., Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon, and Karim R. Lakhani. "Don’t Expect Juniors to Teach Senior Professionals to Use Generative AI: Emerging Technology Risks and Novice AI Risk Mitigation Tactics." Harvard Business School Working Paper, No. 24-074, June 2024.
- 2024
- Working Paper
Winner Take All: Exploiting Asymmetry in Factorial Designs
By: Matthew DosSantos DiSorbo, Iavor I. Bojinov and Fiammetta Menchetti
Researchers and practitioners have embraced factorial experiments to simultaneously test multiple treatments, each with different levels. With the rise of technologies like Generative AI, factorial experimentation has become even more accessible: it is easier than ever...
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Keywords:
Factorial Designs;
Fisher Randomizations;
Rank Estimators;
Employer Interventions;
Causal Inference;
Mathematical Methods;
Performance Improvement
DosSantos DiSorbo, Matthew, Iavor I. Bojinov, and Fiammetta Menchetti. "Winner Take All: Exploiting Asymmetry in Factorial Designs." Harvard Business School Working Paper, No. 24-075, June 2024.
- June 2024
- Case
Building Innovation at VINCI
By: Dennis Campbell, Aluna Wang and Carlota Moniz
This case study explores how the VINCI Group, a French multinational operating in concessions, energy, and construction, bolstered awareness and adoption rates of new technologies within the organization. Through its separate innovation hub, Leonard, VINCI aimed to...
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Keywords:
Business Model;
Business Organization;
Decisions;
Business Earnings;
Business Strategy;
Competition;
Energy;
Corporate Entrepreneurship;
Values and Beliefs;
Global Range;
Global Strategy;
Cross-Cultural and Cross-Border Issues;
Multinational Firms and Management;
Globalized Markets and Industries;
Corporate Accountability;
Collaborative Innovation and Invention;
Disruptive Innovation;
Innovation and Management;
Innovation Strategy;
Technological Innovation;
Knowledge Sharing;
Organizational Culture;
Technology Adoption;
Innovation Leadership;
Organizational Structure;
Construction Industry;
Energy Industry;
Technology Industry;
France;
Europe
Campbell, Dennis, Aluna Wang, and Carlota Moniz. "Building Innovation at VINCI." Harvard Business School Case 124-092, June 2024.
- 2024
- Working Paper
Business Experiments as Persuasion
By: Orie Shelef, Rebecca Karp and Robert Wuebker
Much of the prior work on experimentation rests upon the assumption that entrepreneurs and managers use—or should optimally adopt—a "scientific approach" to test possible decisions before making them. This paper offers an alternative view of experimental strategy,...
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Shelef, Orie, Rebecca Karp, and Robert Wuebker. "Business Experiments as Persuasion." Harvard Business School Working Paper, No. 24-065, March 2024.
- April 2024
- Article
Pay-As-You-Go Insurance: Experimental Evidence on Consumer Demand and Behavior
By: Raymond Kluender
Pay-as-you-go contracts reduce minimum purchase requirements which may increase market participation. We randomize the introduction and price(s) of a novel pay-as-you-go contract to the California auto insurance market where 17 percent of drivers are uninsured. The...
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Kluender, Raymond. "Pay-As-You-Go Insurance: Experimental Evidence on Consumer Demand and Behavior." Review of Financial Studies 37, no. 4 (April 2024): 1118–1148.
- 2023
- Working Paper
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the...
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Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.
- 2024
- Working Paper
Design of Panel Experiments with Spatial and Temporal Interference
By: Tu Ni, Iavor Bojinov and Jinglong Zhao
One of the main practical challenges companies face when running experiments (or A/B tests) over a panel is interference, the setting where one experimental unit's treatment assignment at one time period impacts another's outcomes, possibly at the following time...
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Keywords:
Research
Ni, Tu, Iavor Bojinov, and Jinglong Zhao. "Design of Panel Experiments with Spatial and Temporal Interference." Harvard Business School Working Paper, No. 24-058, March 2024.
- 2021
- Working Paper
Quantifying the Value of Iterative Experimentation
By: Iavor I Bojinov and Jialiang Mao
Over the past decade, most technology companies and a growing number of conventional firms have adopted online experimentation (or A/B testing) into their product development process. Initially, A/B testing was deployed as a static procedure in which an experiment was...
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Bojinov, Iavor I., and Jialiang Mao. "Quantifying the Value of Iterative Experimentation." Harvard Business School Working Paper, No. 24-059, March 2024.
- March 2024
- Teaching Note
Experimentation at Yelp
By: Iavor Bojinov and Jessie Li
Teaching Note for HBS Case No. 621-064.
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- February 26, 2024
- Article
Making Workplaces Safer Through Machine Learning
By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational...
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Keywords:
Government Experimentation;
Auditing;
Inspection;
Evaluation;
Process Improvement;
Government Administration;
AI and Machine Learning;
Safety;
Governing Rules, Regulations, and Reforms
Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Making Workplaces Safer Through Machine Learning." Regulatory Review (February 26, 2024).
- February 2024
- Article
Conveying and Detecting Listening in Live Conversation
By: Hanne Collins, Julia A. Minson, Ariella S. Kristal and Alison Wood Brooks
Across all domains of human social life, positive perceptions of conversational listening (i.e., feeling heard) predict well-being, professional success, and interpersonal flourishing. But a fundamental question remains: Are perceptions of listening accurate? Prior...
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Collins, Hanne, Julia A. Minson, Ariella S. Kristal, and Alison Wood Brooks. "Conveying and Detecting Listening in Live Conversation." Journal of Experimental Psychology: General 153, no. 2 (February 2024): 473–494.
- January 2024
- Article
Population Interference in Panel Experiments
By: Kevin Wu Han, Guillaume Basse and Iavor Bojinov
The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit’s outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in...
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Han, Kevin Wu, Guillaume Basse, and Iavor Bojinov. "Population Interference in Panel Experiments." Journal of Econometrics 238, no. 1 (January 2024).
- 2023
- Article
Balancing Risk and Reward: An Automated Phased Release Strategy
By: Yufan Li, Jialiang Mao and Iavor Bojinov
Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases in a...
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Li, Yufan, Jialiang Mao, and Iavor Bojinov. "Balancing Risk and Reward: An Automated Phased Release Strategy." Advances in Neural Information Processing Systems (NeurIPS) (2023).