On extreme perception bias
Abstract
© 2020 by De La Salle University. This note investigates perception bias: To what extent do individual opinions confound reality? We estimated the relative gap between self-declared estimates and real data. With a sample of respondents from Laguna, Philippines, we asked about the prevalence of diabetes and smartphone usage. We observed a trend of judgment miscalibration. Responses exhibit significant deviation from facts; for example, inaccuracies can go as high as seven times the real value. Especially for estimates on smartphone ownership, bootstrapped quantile regression models showed that perception bias is associated with age.
Source or Periodical Title
DLSU Business and Economics Review
ISSN
1167111
Page
81-92
Document Type
Article
Subject
Bootstrapping, Overestimation, Perception, Quantile regression
Recommended Citation
Molina, Imelda Revilla; Aguilar, Emerico Habacon; and Puzon, Klarizze Martin, "On extreme perception bias" (2021). Journal Article. 490.
https://www.ukdr.uplb.edu.ph/journal-articles/490