INTRODUCTION TO THE WAGE & EMPLOYMENT DYNAMICS PROJECT
27 July 2020
The WED project is building new data that will increase our understanding of how people’s wages progress through their career. At the project’s core is the development of a new version of the Annual Survey of Hours and Earnings (ASHE) dataset, which is being linked to various other official datasets (e.g. Census) for secure, de-identified research use. The linked dataset will enable new research on a wide range of wage and employment issues, from labour market entry, through job mobility and career progression to retirement. In this introduction, Professor Felix Ritchie will outline the intended outputs from the project and explain how researchers and analysts will be able to access the resulting data.
WHY QA THE ASHE AFTER 40 YEARS?
24 August 2020
The complexity of data sources is being driven by the demand for microdata and in-depth detail at the aggregate level. One of the primary data sources for researchers and policy advisors analysing the UK labour market is the Annual Survey of Household Earnings (ASHE). Arusha McKenzie (UWE) and Damian Whittard (UWE) will discuss why it is important to quality assure data from the Annual Survey of Household Earnings (ASHE) after 40 years. A case study will be analysed to show evidence of potential bias in a key analytical variable, further evidencing the need for revised documentation and the need for additional markers.
WED Q & A SESSION
5 October 2020
The WED team invited all researchers, policy holders, and funders with an interest in the UK labour market and the Wage & Employment Dynamics Project. Any queries and questions were discussed and raised in the session.
USING THE ASHE TO EXAMINE LOW PAY TRANSITIONS
30 November 2020
Alex Bryson (UCL) and Van Phan (UWE) discuss the WED team’s recent policy paper presented to the LPC. They will report on time-series estimates of the percentage of minimum wage jobs, low paid and ‘high paid’ jobs observed. Alex and Van will also share important methodological considerations including the construction of hourly pay in the Annual Survey of Hours and Earnings (ASHE); the identification of ‘main’ and ‘other’ jobs; the incidence of missing data; and the use of rounding. Insight will be given into the increase in minimum wage jobs, and also an increase in the number of ‘high paid’ jobs.