Modelling Errors in Survey and Administrative Data on Employment Earnings: Sensitivity to the Fraction Assumed to Have Error-Free Earnings
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- Jenkins, Stephen P. & 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, Elsevier, vol. 192(C).
- Jenkins, Stephen P. & Rios-Avila, Fernando, 2020. "Modelling errors in survey and administrative data on employment earnings: sensitivity to the fraction assumed to have error-free earnings," LSE Research Online Documents on Economics 104560, London School of Economics and Political Science, LSE Library.
References listed on IDEAS
- Dean R. Hyslop & Wilbur Townsend, 2020.
"Earnings Dynamics and Measurement Error in Matched Survey and Administrative Data,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 457-469, April.
- Dean Hyslop & Wilbur Townsend, 2016. "Earnings Dynamics and Measurement Error in Matched Survey and Administrative Data," Working Papers 16_18, Motu Economic and Public Policy Research.
- Arie Kapteyn & Jelmer Y. Ypma, 2007. "Measurement Error and Misclassification: A Comparison of Survey and Administrative Data," Journal of Labor Economics, University of Chicago Press, vol. 25(3), pages 513-551.
- John M. Abowd & Martha H. Stinson, 2013. "Estimating Measurement Error in Annual Job Earnings: A Comparison of Survey and Administrative Data," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1451-1467, December.
- repec:taf:jnlbes:v:30:y:2012:i:2:p:191-201 is not listed on IDEAS
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Cited by:
- Stephen P. Jenkins & Fernando Rios-Avila, 2023.
"Finite mixture models for linked survey and administrative data: Estimation and postestimation,"
Stata Journal, StataCorp LP, vol. 23(1), pages 53-85, March.
- Jenkins, Stephen P. & Rios-Avila, Fernando, 2021. "Finite Mixture Models for Linked Survey and Administrative Data: Estimation and Post-estimation," IZA Discussion Papers 14404, Institute of Labor Economics (IZA).
- Stephen P. Jenkins & Fernando Rios‐Avila, 2021.
"Measurement error in earnings data: Replication of Meijer, Rohwedder, and Wansbeek's mixture model approach to combining survey and register data,"
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- Jenkins, Stephen P. & Rios-Avila, Fernando, 2021. "Measurement error in earnings data: replication of Meijer, Rohwedder, and Wansbeek’s mixture model approach to combining survey and register data," LSE Research Online Documents on Economics 108951, London School of Economics and Political Science, LSE Library.
- Jenkins, Stephen P. & Rios-Avila, Fernando, 2021. "Measurement Error in Earnings Data: Replication of Meijer, Rohwedder, and Wansbeek's Mixture Model Approach to Combining Survey and Register Data," IZA Discussion Papers 14172, Institute of Labor Economics (IZA).
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- Davillas, Apostolos & de Oliveira, Victor Hugo & Jones, Andrew M., 2022. "Model of Errors in BMI Based on Self‐reported and Measured Anthropometrics with Evidence from Brazilian Data," CINCH Working Paper Series (since 2020) 76143, Duisburg-Essen University Library, DuEPublico.
- Davillas, Apostolos & de Oliveira, Victor Hugo & Jones, Andrew M., 2022. "A Model of Errors in BMI Based on Self-Reported and Measured Anthropometrics with Evidence from Brazilian Data," IZA Discussion Papers 15380, Institute of Labor Economics (IZA).
- Crossley, Thomas F. & Fisher, Paul & Hussein, Omar, 2023. "Assessing data from summary questions about earnings and income," Labour Economics, Elsevier, vol. 81(C).
- Emmanuel Flachaire & Nora Lustig & Andrea Vigorito, 2023.
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- Emmanuel Flachaire & Nora Lustig & Andrea Vigorito, 2022. "Underreporting of Top Incomes and Inequality: A Comparison of Correction Methods using Simulations and Linked Survey and Tax Data," Post-Print hal-03879312, HAL.
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- Jenkins, Stephen P. & Rios-Avila, Fernando, 2023. "Reconciling reports: modelling employment earnings and measurement errors using linked survey and administrative data," LSE Research Online Documents on Economics 117213, London School of Economics and Political Science, LSE Library.
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More about this item
Keywords
Kapteyn-Ypma model; measurement error; misclassification error; labour earnings;All these keywords.
JEL classification:
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
NEP fields
This paper has been announced in the following NEP Reports:- NEP-LTV-2020-06-15 (Unemployment, Inequality and Poverty)
- NEP-ORE-2020-06-15 (Operations Research)
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