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Modelling errors in survey and administrative data on employment earnings: sensitivity to the fraction assumed to have error-free earnings

Jenkins, Stephen P. and Rios-Avila, Fernando (2020) Modelling errors in survey and administrative data on employment earnings: sensitivity to the fraction assumed to have error-free earnings. Economics Letters, 192. ISSN 0165-1765

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Identification Number: 10.1016/j.econlet.2020.109253

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.

Item Type: Article
Official URL: https://www.sciencedirect.com/journal/economics-le...
Additional Information: © 2020 Elsevier B.V.
Divisions: Social Policy
Subjects: H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HA Statistics
JEL classification: C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology; Computer Programs > C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data
D - Microeconomics > D3 - Distribution > D31 - Personal Income, Wealth, and Their Distributions
Date Deposited: 26 May 2020 10:21
Last Modified: 29 Jun 2020 23:27
URI: http://eprints.lse.ac.uk/id/eprint/104560

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