Sticking with What Barely Worked

Working Paper: NBER ID: w17477

Authors: Lars Lefgren; Brennan Platt; Joseph Price

Abstract: Outcome bias occurs when an evaluator considers ex-post outcomes when judging whether a choice was correct, ex-ante. We formalize this cognitive bias in a simple model of distorted Bayesian updating. We then examine strategy changes made by professional football coaches. We find they are more likely to revise their strategy after a loss than a win -- even for narrow losses, which are uninformative about future success. This increased revision following a loss occurs even when a loss was expected, and the offensive strategy is revised even when failure is attributable to the defense. These results are consistent with our model's predictions.

Keywords: outcome bias; decision making; NFL coaches; Bayesian updating

JEL Codes: C11; D03; D81; L83


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Outcome of a game (C73)Revision of offensive strategies (L21)
Loss (G33)Revision of offensive strategies (L21)
Win (D44)Persistence in passing strategy (C41)
Outcome bias (G41)Strategy adjustments after losses (L21)

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