Measurement Error in Earnings

Stella Martin, Kevin Stabenow and Mark Trede

No 10824, CQE Working Papers from Center for Quantitative Economics (CQE), University of Muenster

Abstract: This paper investigates the statistical properties of measurement error in earnings with a linked panel comprising a survey and administrative information from pension records. We can replicate central properties from previous literature such as mean reversion and extend insights into longitudinal features with our decade-long panel. Central correlates in the decomposition of measurement error include gender, features related to the individual labor market biography and individual positions in the income distribution, where under-/overreporting of earnings is especially prevalent above/below the median..

Keywords: measurement error; earnings; survey data; administrative data; record linkage (search for similar items in EconPapers)
Pages: 40 pages
Date: 2024-09
New Economics Papers: this item is included in nep-lma
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