Eliciting Human Judgment for Prediction Algorithms
Abstract
Even when human point forecasts are less accurate than data-based algorithm predictions, they can still help boost performance by being used as algorithm inputs. Assuming one uses human judgment indirectly in this manner, we propose changing the elicitation question from the traditional direct forecast (DF) to what we call the private information adjustment (PIA): how much the human thinks the algorithm should adjust its forecast to account for...
Paper Details
Title
Eliciting Human Judgment for Prediction Algorithms
Published Date
Apr 1, 2021
Journal
Volume
67
Issue
4
Pages
2314 - 2325
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