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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 (friosavi@levy.org)

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

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: measurement error; misclassification error; labour earnings; Kapteyn-Yuma model (search for similar items in EconPapers)
JEL-codes: C81 D31 (search for similar items in EconPapers)
Pages: 4 pages
Date: 2020-07-01
New Economics Papers: this item is included in nep-ltv and nep-ore
References: Add references at CitEc
Citations: View citations in EconPapers (6)

Published in Economics Letters, 1, July, 2020, 192. ISSN: 0165-1765

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http://eprints.lse.ac.uk/104560/ Open access version. (application/pdf)

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) Downloads
Working Paper: Modelling Errors in Survey and Administrative Data on Employment Earnings: Sensitivity to the Fraction Assumed to Have Error-Free Earnings (2020) Downloads
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