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Selling a Personalized Recommender System
The Two Faces of Information
The Behavioral Foundations of Model Misspecification: A Decomposition
Robust Model Misspecification and Paradigm Shifts
Serial Experimentation with Career Concerns
Uncertainty about multiple events and preference for simplicity
Affirmative Action and Instrumental Discrimination
The Optimal Assortativity of Teams Inside the Firm
Fairness and Machine Learning
Affirmative Action in Contest Design: Information vs. Allocation Rules
Optimal Recommender System Design
Optimal Team Formation under Asymmetric Information
Notes on Multidimensional Signaling
Allocation Mechanisms Without Reduction
Splitting Players Into Groups
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