Modelling Errors in Survey and Administrative Data on Employment Earnings: Sensitivity to the Fraction Assumed to Have Error-Free Earnings

Stephen Jenkins and Fernando Rios-Avila ()

No 13196, IZA Discussion Papers from IZA Network @ LISER

Abstract: Kapteyn and Ypma (Journal of Labour Economics 2007) is an influential study of errors in survey and administrative data on employment earnings. To fit their mixture models, Kapteyn and Ypma assume a specific fraction of their sample have error-free earnings. Using a new UK dataset, we assess the sensitivity of model estimates and post-estimation statistics to variations in this fraction and find some lack of robustness.

Keywords: Kapteyn-Ypma model; measurement error; misclassification error; labour earnings (search for similar items in EconPapers)
JEL-codes: C81 C83 D31 (search for similar items in EconPapers)
Pages: 13 pages
Date: 2020-04
New Economics Papers: this item is included in nep-ltv and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Published - published in: Economics Letters , 2020, 192, 109253

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Related works:
Journal Article: Modelling errors in survey and administrative data on employment earnings: Sensitivity to the fraction assumed to have error-free earnings (2020)
Working Paper: Modelling errors in survey and administrative data on employment earnings: sensitivity to the fraction assumed to have error-free earnings (2020)
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