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Measuring compliance with minimum wages

Ritchie, Felix; Veliziotis, Michail; Drew, Hilary; Whittard, Damian

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Authors

Michail Veliziotis

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Dr Hilary Lowe Hilary.Drew@uwe.ac.uk
School Director (Partnerships & International)

Damian Whittard Damian2.Whittard@uwe.ac.uk
Associate Professor in Policy & Practice in Economics



Abstract

© 2017 - IOS Press and the authors. All rights reserved. Identifying genuine underpayment of minimum wages is not straightforward. Some well-known statistical issues affect the measurement of compliance rates, but factors such as processing or behavioural influences amongst respondents can also have an impact. We study the quantitative measurement of noncompliance with the minimum wage, using UK apprentices (who have particularly high non-compliance rates) as a case study. We show that understanding the institutional and behavioural context can be invaluable, as can triangulation of different sources. While the binary nature of compliance makes such problems easier to identify and evaluate, this analysis holds wider lessons for the understanding of the characteristics of large and complex datasets.

Citation

Ritchie, F., Veliziotis, M., Drew, H., & Whittard, D. (2017). Measuring compliance with minimum wages. Journal of Economic and Social Measurement, 42(3-4), 249-270. https://doi.org/10.3233/JEM-180448

Journal Article Type Article
Acceptance Date Feb 21, 2018
Online Publication Date May 9, 2018
Publication Date Jan 1, 2017
Deposit Date Apr 23, 2018
Publicly Available Date May 7, 2018
Journal Journal of Economic and Social Measurement
Print ISSN 0747-9662
Electronic ISSN 1875-8932
Publisher IOS Press
Peer Reviewed Peer Reviewed
Volume 42
Issue 3-4
Pages 249-270
DOI https://doi.org/10.3233/JEM-180448
Keywords minimum wage, non-compliance, measurement error, data quality
Public URL https://uwe-repository.worktribe.com/output/871296
Publisher URL https://doi.org/10.3233/JEM-180448

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