American Economic Review
ISSN 0002-8282 (Print) | ISSN 1944-7981 (Online)
Evaluating Strategic Forecasters
American Economic Review
vol. 108,
no. 10, October 2018
(pp. 3057–3103)
Abstract
Motivated by the question of how one should evaluate professional election forecasters, we study a novel dynamic mechanism design problem without transfers. A principal who wishes to hire only high-quality forecasters is faced with an agent of unknown quality. The agent privately observes signals about a publicly observable future event, and may strategically misrepresent information to inflate the principal's perception of his quality. We show that the optimal deterministic mechanism is simple and easy to implement in practice: it evaluates a single, optimally timed prediction. We study the generality of this result and its robustness to randomization and noncommitment.Citation
Deb, Rahul, Mallesh M. Pai, and Maher Said. 2018. "Evaluating Strategic Forecasters." American Economic Review, 108 (10): 3057–3103. DOI: 10.1257/aer.20170299Additional Materials
JEL Classification
- C53 Forecasting Models; Simulation Methods
- D72 Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
- D82 Asymmetric and Private Information; Mechanism Design