Measurement Error and Misclassification: A Comparison of Survey and Administrative Data

By A. Kapteyn, J. Ypma. Journal of Labor Economics, 2007

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Estimating Measurement Error in Annual Job Earnings: A Comparison of Survey and Administrative Data (2013, unknown): “Kapteyn and Ypma (2007) use person-level linked survey and administrative data from Sweden.”
Two Economists' Musings on the Stability of Locus of Control (2011, methodology): “Comparing Swedish survey and administrative data on earnings, taxes, and pension incomes, (Kapteyn and Ypma, 2007) find the reliability of the survey data as a proxy for administrative earnings (taxes) 26Consistent with this, in related work we use lagged non-cognitive skill measures as…”
Triple collocation for binary and categorical variables: Application to validating landscape freeze/thaw retrievals (2016, background): “The observation that Cov(εi,T)b0 for categorical data has been widely noted in the econometrics literature in terms of ‘mean reversion’: errors tend to be biased towards the mean (e.g., Kapteyn & Ypma, 2007).”
Are Earnings Inequality and Mobility Overstated? The Impact of Nonclassical Measurement Error (2010, background): “Abowd and Stinson (2004) and Kapteyn and Ypma (2007) develop alternative approaches that allow for measurement error in earnings from administrative records as well as reported earnings.”