Elicitation of expectations using Colonel Blotto
2019
We develop a mechanism based on the Colonel Blotto game to elicit (subjective) expectations in a group-based manner. In this game, two players allocate resources over possible future events. A fixed prize is awarded based on the amounts the players allocate to the
realizedevent. We consider two payoff variations: under the proportional-prize rule, the award is split proportionally to the resources that players allocate to the
realizedevent; under the
winner-takes-allrule, the full award is given to the player who allocate the most resources to the
realizedevent. When probabilities by which events
realizeare
common knowledgeto the players, both games are Bayesian–Nash
incentive compatiblein the sense that (expected) equilibrium allocations perfectly reflect the true
realizationprobabilities. By means of a laboratory experiment, we find that in a setting where
realizationprobabilities are
common knowledgethe game with the proportional-prize rule (Prop) elicits better distributions compared to both the
winner-takes-allvariation (Win) and a benchmark mechanism based on an individual-based proper
scoring rule(Ind). Without
common knowledgeof
realizationprobabilities Prop is at least as good as Ind, showing that it is possible to use a game to elicit expectations in a similar fashion to using a proper
scoring rule.
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