Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Under reduced-form learning, agents are endowed with an aggregate model, and rational expectations are then replaced with subjective expectations. This paper demonstrates that the reduced-form learning approach may be arbitrary in that a particular representation of aggregate dynamics has particular e-stability properties even though the underlying model’s behavior is meant to be unique.