On extreme perception bias
College
College of Computer Studies
Department/Unit
Software Technology
Document Type
Article
Source Title
DLSU Business & Economics Review
Volume
29
Issue
2
First Page
81
Last Page
92
Publication Date
2020
Abstract
This preliminary note investigates perception bias: To what extent do individual opinions confound reality? We estimate the relative gap between self-declared estimates and real data. We asked a sample of Philippine respondents about the incidence of diabetes and smartphone usage in their country. We observed a trend of judgement miscalibration. Responses exhibit significant deviation from facts, e.g. inaccuracies can go as high as seven times the real value. Especially for estimates on smartphone ownership, bootstrapped quantile regression models show that perception bias is associated with age.
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Recommended Citation
Molina, I. R., Aguilar, E. H., & Puzon, K. M. (2020). On extreme perception bias. DLSU Business & Economics Review, 29 (2), 81-92. Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/9101
Disciplines
Computer Sciences
Keywords
Public opinion; Judgment (Logic); Quantile regression
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