Blackwell experiments can be determined via a regression procedure. Priors solve an eigenvector equation derived from this procedure.
The findings are relevant to the crowd wisdom problem, and have implications for the geometric structure of information.
We propose a procedure for multi-label classification problems based on iteratively eliminating worst-performing labels.
We identify desireable theoretical properties of our procedure and illustrate its practical performance.
Lack of transparency over research methods can induce bias. But the incentive to de-bias may lead to more informative experiments.
The model introduced is one of costly communication with partial (sender) commitment.
Informational Robustness in Intertemporal Pricing
(with Xiaosheng Mu)
Review of Economic Studies, 2021, 88(3): 1224-1252.
BibTex Citation
Constant price paths deliver the optimal profit guarantee when a seller does not know how buyers learn about a product.
Formally, this paper introduces an informationally robust approach into the dynamic pricing literature.
© 2024