Econometrica: Jan 2022, Volume 90, Issue 1

Dynamically Aggregating Diverse Information

https://doi.org/10.3982/ECTA18324
p. 47-80

Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis

An agent has access to multiple information sources, each modeled as a Brownian motion whose drift provides information about a different component of an unknown Gaussian state. Information is acquired continuously—where the agent chooses both which sources to sample from, and also how to allocate attention across them—until an endogenously chosen time, at which point a decision is taken. We demonstrate conditions on the agent's prior belief under which it is possible to exactly characterize the optimal information acquisition strategy. We then apply this characterization to derive new results regarding: (1) endogenous information acquisition for binary choice, (2) the dynamic consequences of attention manipulation, and (3) strategic information provision by biased news sources.



Log In To View Full Content

Supplemental Material

Supplement to "Dynamically Aggregating Diverse Information"

This online appendix contains the material not found within the manuscript.

Read More View PDF



Back