Overinference from Weak Signals and Underinference from Strong Signals

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Augenblick, Ned, Lazarus, Eben, Thaler, Michael
Format: Preprint
Published: 2021
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866916305814159360
author Augenblick, Ned
Lazarus, Eben
Thaler, Michael
author_facet Augenblick, Ned
Lazarus, Eben
Thaler, Michael
contents When people receive new information, sometimes they revise their beliefs too much, and sometimes too little. In this paper, we show that a key driver of whether people overinfer or underinfer is the strength of the information. Based on a model in which people know which direction to update in, but not exactly how much to update, we hypothesize that people will overinfer from weak signals and underinfer from strong signals. We then test this hypothesis across four different environments: abstract experiments, a naturalistic experiment, sports betting markets, and financial markets. In each environment, our consistent and robust finding is overinference from weak signals and underinference from strong signals. Our framework and findings can help harmonize apparently contradictory results from the experimental and empirical literatures.
format Preprint
id arxiv_https___arxiv_org_abs_2109_09871
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Overinference from Weak Signals and Underinference from Strong Signals
Augenblick, Ned
Lazarus, Eben
Thaler, Michael
General Economics
Economics
When people receive new information, sometimes they revise their beliefs too much, and sometimes too little. In this paper, we show that a key driver of whether people overinfer or underinfer is the strength of the information. Based on a model in which people know which direction to update in, but not exactly how much to update, we hypothesize that people will overinfer from weak signals and underinfer from strong signals. We then test this hypothesis across four different environments: abstract experiments, a naturalistic experiment, sports betting markets, and financial markets. In each environment, our consistent and robust finding is overinference from weak signals and underinference from strong signals. Our framework and findings can help harmonize apparently contradictory results from the experimental and empirical literatures.
title Overinference from Weak Signals and Underinference from Strong Signals
topic General Economics
Economics
url https://arxiv.org/abs/2109.09871