Defaults and Attention: The Drop Out Effect

Working Paper: NBER ID: w17988

Authors: Andrew Caplin; Daniel J. Martin

Abstract: When choice options are complex, policy makers may seek to reduce decision making errors by making a high quality option the default. We show that this positive effect is at risk because such a policy creates incentives for decision makers to "drop out" by paying no attention to the decision and accepting the default sight unseen. Using decision time as a proxy for attention, we confirm the importance of this effect in an experimental setting. A key challenge for policy makers is to measure, and if possible mitigate, such drop out behavior in the field.

Keywords: default effects; nudges; bounded rationality; limited attention; rational inattention; mistakes

JEL Codes: D01; D03; D04; D82


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
informative defaults (Y20)decision quality (L15)
type of default (informative vs. random) (D80)decision quality (L15)
informative defaults (Y20)drop-out behavior (I21)
decision time (D79)attention (Y60)
active choice policy (G52)drop-out behavior (I21)
defaults (Y60)decision quality (L15)

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