Aggregation mechanisms for crowd predictions.

ABSTRACT: When the information of many individuals is pooled, the resulting aggregate often is a good predictor of unknown quantities or facts. This aggregate predictor frequently outperforms the forecasts of experts or even the best individual forecast included in the aggregation process ("wisdom of crowds"). However, an appropriate aggregation mechanism is considered crucial to reaping the benefits of a "wise crowd". Of the many possible ways to aggregate individual forecasts, we compare (uncensored and censored) arithmetic and geometric mean and median, continuous double auction market prices and sealed bid-offer call market prices in a controlled experiment. We use an asymmetric information structure, where participants know different sub-sets of the total information needed to exactly calculate

SUBMITTER: Palan S 

PROVIDER: S-EPMC7591134 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature