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Classification, Detection and Consequences of Data Error: Evidence from the Human Development Index

dc.contributor.authorWolff, Hendrik
dc.contributor.authorChong, Howard
dc.contributor.authorAuffhammer, Maximilian
dc.date.accessioned2020-09-12T21:03:36Z
dc.date.available2020-09-12T21:03:36Z
dc.date.issued2011-01-01
dc.description.abstractWe measure and examine data error in health, education and income statistics used to construct the Human Development Index. We identify three sources of data error which are due to data updating; formula revisions; and thresholds to classify a country’s development status. We propose a simple statistical framework to calculate country specific measures of data uncertainty and investigate how data error biases rank assignments. We find that up to 34% of countries are misclassified and, by replicating prior studies, we show that key estimated parameters vary by up to 100% due to data error.
dc.description.legacydownloadsChong3_Classification__Detection_and_Consequences_of_Data_Error.pdf: 1920 downloads, before Aug. 1, 2020.
dc.identifier.other5508912
dc.identifier.urihttps://hdl.handle.net/1813/71597
dc.language.isoen_US
dc.relation.doihttps://doi.org/10.1111/j.1468-0297.2010.02408.x
dc.rightsRequired Publisher Statement: © Wiley. Final version published as: Wolff, H., Chong, H., & Auffhammer, M. (2011). Classification, detection and consequences of data error: Evidence from the Human Development Index. Economic Journal, 121(553), 843-870. Reprinted with permission. All rights reserved.
dc.subjectdata error
dc.subjectstatistics
dc.subjectHuman Development Index
dc.subjectHDI classification
dc.subjectdata uncertainty
dc.subjecthealth
dc.subjecteducation
dc.subjectincome
dc.titleClassification, Detection and Consequences of Data Error: Evidence from the Human Development Index
dc.typearticle
local.authorAffiliationWolff, Hendrik: University of Washington
local.authorAffiliationChong, Howard: hc757@cornell.edu Cornell University
local.authorAffiliationAuffhammer, Maximilian: University of California - Berkeley

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