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- Forthcoming
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Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming). (Pre-published online March 24, 2025.)
- Research Summary
Making Machine Learning Models Fair
The goal of this research direction is to ensure that the machine learning models we build and deploy do not discriminate against individuals from minority groups. View Details
- Forthcoming
- Article
Non-Binary Gender Economics
By: Katherine B. Coffman, Lucas C. Coffman and Keith Marzilli Ericson
Economics research has largely overlooked non-binary individuals. We aim to jump-start the literature by providing data on several economically-important beliefs and preferences. Among many results, non-binary individuals report more gender-based discrimination and... View Details
- Research Summary
Overview
By: Jorge Tamayo
Professor Tamayo’s research focuses on theoretical modeling and structural estimation of firm decision-making and productivity.
Professor Tamayo studies dynamic competition for customer membership. Generally, firms that implement a membership model charge a... View Details
Professor Tamayo studies dynamic competition for customer membership. Generally, firms that implement a membership model charge a... View Details
- Research Summary
Overview
By: Ayelet Israeli
Professor Israeli utilizes econometric methods and field experiments to study data driven decision making in marketing context. Her research focuses on data-driven marketing, with an emphasis on how businesses can leverage their own data, customer data, and market data... View Details
- Forthcoming
- Article
Racial Discrimination and the Social Contract: Evidence from U.S. Army Enlistment During WWII
By: Nancy Qian and Marco Tabellini
This paper documents that the Pearl Harbor attack triggered a sharp increase in volunteer enlistment rates of American men, the magnitude of the increase was smaller for Black men than for white men and the Black-white gap was larger in counties with higher levels of... View Details
Keywords: State Capacity; Institutions; War; History; Race; Prejudice and Bias; Government Administration
Qian, Nancy, and Marco Tabellini. "Racial Discrimination and the Social Contract: Evidence from U.S. Army Enlistment During WWII." Review of Economic Studies (forthcoming). (Pre-published online May 22, 2025. Available also from KelloggInsight, HBS Working Knowledge, and NBER.)
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