25 citations · 83 across the 12 of their papers we have counts for
15 papers
Attention and Social Learning
Krishna Dasaratha, Kevin He
In an incentivized laboratory experiment, we study how people account for and respond to others' incentives for paying attention. Participants learn a binary state from an attentio…
Learning from Viral Information
Krishna Dasaratha, Kevin He
Motivated by social media, we study an equilibrium model of agents interacting with and learning from each other's signals. Rational agents arrive sequentially, observe a signal (c…
Observability, Dominance, and Induction in Learning Models
Daniel Clark, Drew Fudenberg, Kevin He
Learning models do not in general imply that weakly dominated strategies are irrelevant or justify the related concept of "forward induction," because rational agents may use domin…
Private Private Information
Kevin He, Fedor Sandomirskiy, Omer Tamuz
Private signals model noisy information about an unknown state. Although these signals are called "private," they may still carry information about each other. Our paper introduces…
Screening -Hackers: Dissemination Noise as Bait
Federico Echenique, Kevin He
We show that adding noise before publishing data effectively screens -hacked findings: spurious explanations produced by fitting many statistical models (data mining). Noise cre…
Evolutionarily Stable (Mis)specifications: Theory and Applications
Kevin He, Jonathan Libgober
Toward explaining the persistence of biased inferences, we propose a framework to evaluate competing (mis)specifications in strategic settings. Agents with heterogeneous (mis)speci…