We study the value of and the demand for instrumentally-valuable information in a simple decision environment where signals are transparently polarized. We find that in both information aggregation and acquisition, subjects use sophisticated heuristics to counter the polarization in signals....

Governments use coercion to aggregate distributed information relevant to governmental objectives-from the prosecution of regime-stability threats to terrorism or epidemics. A cohesive social structure facilitates this task, as reliable information will often come from friends and acquaintances....

A group of agents wants to reform the status quo if and only if this is Pareto improving. Agents have private information and may have common or private objectives, which creates a tension between information aggregation and minority protection. We analyze a simple voting system - majority rule...

We propose a theory-based experimental approach to compare the properties of approval voting (AV) with those of plurality. This comparison is motivated by the theoretical predictions that, in our aggregate uncertainty setup, AV should produce close to first-best outcomes, while plurality will...

This paper proposes a rational model of voter participation by generalizing a common-value model of costless voting to include not just pivotal voting but also marginal voting incentives. A new strategic incentive for abstention arises in that case, to avoid the marginal voter's curse of pushing...

We report on experimental markets for a contingent claim asset that eight subjects traded for nine periods before the state was revealed. There is an informative binary signal that arrives after each of the first eight trading rounds. In our baseline treatment the realization of the signal is...

We use survey data to demonstrate that individuals extrapolate from their peer groups when forming estimates about aggregate economic outcomes (e.g. the aggregate homeownership rate). In a first approach, we follow the previous literature and construct hypothetical peer groups using information...