EconPapers    
Economics at your fingertips  
 

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 ()

Economics Letters, 2020, vol. 192, issue C

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–Ypma​ model (search for similar items in EconPapers)
JEL-codes: C81 C83 D31 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176520301749
Full text for ScienceDirect subscribers only

Related works:
Working Paper: 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
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:192:y:2020:i:c:s0165176520301749

DOI: 10.1016/j.econlet.2020.109253

Access Statistics for this article

Economics Letters is currently edited by Economics Letters Editorial Office

More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-26
Handle: RePEc:eee:ecolet:v:192:y:2020:i:c:s0165176520301749