Template-Type: ReDIF-Paper 1.0
Author-Name: Dean Hyslop
Author-X-Name-First: Dean
Author-X-Name-Last: Hyslop
Author-Email: dean.hyslop@motu.org.nz
Author-Workplace-Name: Motu Economic and Public Policy Research
Author-Name: Wilbur Townsend
Author-X-Name-First: Wilbur
Author-X-Name-Last: Townsend
Author-Email: wilbur.townsend@motu.org.nz
Author-Workplace-Name: Motu Economic and Public Policy Research
Title: Employment misclassification in survey and administrative reports
Abstract: This paper analyses measurement error in the classification of employment. We show that the true employment rate and time-invariant error rates can be identified, given access to two measures of employment with independent errors. Empirical identification requires at least two periods of data over which the employment rate varies. We estimate our model using matched survey and administrative data from Statistics New Zealand’s Integrated Data Infrastructure. We find that both measures have error, with the administrative data being substantially more accurate than the survey data. In both sources, false positives are much more likely than false negatives. Allowing for errors in both sources substantially affects estimated employment rates.
Length: 21 pages
Creation-Date: 2016-10
File-URL: https://motu-www.motu.org.nz/wpapers/16_19.pdf
Number: 16_19
Classification-JEL: C18, J6, J21
Keywords: Unemployment rate, measurement error, validation study
Handle: RePEc:mtu:wpaper:16_19