Learning to hesitate

A-Tier
Journal: Experimental Economics
Year: 2022
Volume: 25
Issue: 1
Pages: 359-383

Score contribution per author:

1.341 = (α=2.01 / 3 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Abstract We investigate how people make choices when they are unsure about the value of the options they face and have to decide whether to choose now or wait and acquire more information first. In an experiment, we find that participants deviate from optimal information acquisition in a systematic manner. They acquire too much information (when they should only collect little) or not enough (when they should collect a lot). We show that this pattern can be explained as naturally emerging from Fechner cognitive errors. Over time participants tend to learn to approximate the optimal strategy when information is relatively costly.

Technical Details

RePEc Handle
repec:kap:expeco:v:25:y:2022:i:1:d:10.1007_s10683-021-09718-7
Journal Field
Experimental
Author Count
3
Added to Database
2026-01-25