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All Outputs (14)

Can we identify students in ASHE? (2022)
Working Paper
Phan, V., Ritchie, F., Whittard, D., Stokes, L., Forth, J., & Bryson, A. Can we identify students in ASHE?

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 wo... Read More about Can we identify students in ASHE?.

The incidence of low pay is falling in Britain, but why – and can we trust the figures? (2022)
Working Paper
Whittard, D., Phan, V., Stokes, L., Forth, J., Bryson, A., Singleton, C., & Ritchie, F. The incidence of low pay is falling in Britain, but why – and can we trust the figures?

Recent research indicates that the percentage of employees in Britain who are low paid – earning below two-thirds median hourly earnings – has been falling in the last 6-7 years. It points to the increased ‘bite’ of the adult National Minimum Wage (N... Read More about The incidence of low pay is falling in Britain, but why – and can we trust the figures?.

Enriched ASHE Quick Start Guide (2022)
Working Paper
Whittard, D., Ritchie, F., Stokes, L., Forth, J., Phan, V., Bryson, A., & Singleton, C. Enriched ASHE Quick Start Guide

The Wage and Employment Dynamics (WED) project was funded by Administrative Data Research 2019-2022 to review, quality assure and enhance ASHE data. The project was also provided with ASHE data linked to the 2011 Census for England and Wales. This do... Read More about Enriched ASHE Quick Start Guide.

Weighting for employer non-response in ASHE (2022)
Working Paper
Stokes, L., Forth, J., Ritchie, F., Singleton, C., Phan, V., Bryson, A., …McKenzie, A. Weighting for employer non-response in ASHE

The Annual Survey of Hours and Earnings (ASHE) is based on a 1% sample of employee jobs and provides many of the UK’s official earnings statistics. Weights are provided with the core dataset, which adjust the profile of the annual achieved sample suc... Read More about Weighting for employer non-response in ASHE.

Accounting for firms in ethnicity wage gaps throughout the earnings distribution (2022)
Working Paper
Phan, V., Singleton, C., Bryson, A., Forth, J., Ritchie, F., Stokes, L., & Whittard, D. (2022). Accounting for firms in ethnicity wage gaps throughout the earnings distribution

Ethnicity wage gaps in Great Britain are large and have persisted over time. Previous studies of these gaps have been almost exclusively confined to analyses of household data, so they could not account for the role played by individual employers, de... Read More about Accounting for firms in ethnicity wage gaps throughout the earnings distribution.

Longitudinal attrition in ASHE (2022)
Working Paper
Forth, J., Phan, V., Stokes, L., Bryson, A., Ritchie, F., Whittard, D., & Singleton, C. Longitudinal attrition in ASHE

The Annual Survey of Hours and Earnings (ASHE) provides many of the UK’s official earnings statistics. The survey operates on an annual 1% sample of employee jobs. However, the method of sampling - based on the final two digits of an employee’s Natio... Read More about Longitudinal attrition in ASHE.

Using the ‘five safes’ to structure economic evaluations of data governance (2022)
Working Paper
Ritchie, F., & Whittard, D. Using the ‘five safes’ to structure economic evaluations of data governance

The ‘five safes’ is a popular data governance framework. It is used to design and critique data management strategies across the world, and has also been used as a performance framework to measure the effectiveness of data access operations. We repor... Read More about Using the ‘five safes’ to structure economic evaluations of data governance.

Exploring the workplace location problem in the Annual Survey of Hours and Earnings (2022)
Working Paper
Whittard, D., Ritchie, F., Phan, V., Forth, J., Bryson, A., Stokes, L., …McKenzie, A. Exploring the workplace location problem in the Annual Survey of Hours and Earnings

The Annual Survey of Hours and Earnings (ASHE) is an important source of longitudinal linked employer-employee payroll earnings data for Britain. It provides accurate information on employees’ hours and earnings and information on the location of em... Read More about Exploring the workplace location problem in the Annual Survey of Hours and Earnings.