This paper analyses measurement error in the classification of employment using matched survey and administrative data from New Zealand. 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 data with time varying employment rates over at least two periods. We find that both measures have error, with the administrative data being substantially more accurate than the survey data, and false positives are much more likely than false negatives in both sources. Allowing for errors substantially affects estimated employment rates.
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Hyslop, Dean R. and Wilbur Townsend. 2017. "Employment misclassification in survey and administrative reports." Economics Letters, Volume 155, June 2017, Pages 19-23, http://dx.doi.org/10.1016/j.econlet.2017.03.013