Dr Van Phan Van4.Phan@uwe.ac.uk
Research Fellow
Can we identify students in ASHE?
Phan, Van; Ritchie, Felix; Whittard, Damian; Stokes, Lucy; Forth, John; Bryson, Alex
Authors
Felix Ritchie Felix.Ritchie@uwe.ac.uk
Professor in Economics
Damian Whittard Damian2.Whittard@uwe.ac.uk
Associate Professor in Policy & Practice in Economics
Lucy Stokes
John Forth
Alex Bryson
Abstract
ASHE is a key dataset in the UK, the only one which allows long-term analysis of flows in labour market status and earnings, and hence vitally important in the understanding of low pay and wage progression. Separating out students from non-student workers therefore has considerable value. This study has tried to create a proxy for ‘student working’ using the ASHE dataset, and then triangulating with the Census 2011 data which has some of the
same people but with an accurate marker for student status. Unfortunately, triangulating this with accurate student information on the Census suggested that our preferred method was not notably the ‘best’.
Working Paper Type | Working Paper |
---|---|
Deposit Date | Oct 24, 2022 |
Publicly Available Date | Oct 24, 2022 |
Public URL | https://uwe-repository.worktribe.com/output/10105428 |
Publisher URL | http://www.wagedynamics.com/wp-content/uploads/2022/10/ASHE-Student-Final-v06-1.pdf |
Files
Can we identify students in ASHE?
(752 Kb)
PDF
Licence
http://www.rioxx.net/licenses/all-rights-reserved
Publisher Licence URL
http://www.rioxx.net/licenses/all-rights-reserved
You might also like
Puzzle me this? The Vietnamese reverse gender education gap
(2019)
Preprint / Working Paper
Enriched ASHE Quick Start Guide
(2022)
Preprint / Working Paper
The incidence of low pay is falling in Britain, but why – and can we trust the figures?
(2022)
Preprint / Working Paper
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search