Wage and employment dynamics in Great Britain

This project is expected to increase understanding of how people’s wages progress through their career, factoring in key characteristics such as gender and ethnicity, as well as the particular dynamics of low-pay labour markets. 

The dataset 

ADR UK partner the Office for National Statistics (ONS) is supporting the linkage of three key data sources for this project:

What is the potential of this newly linked data? 

This project has the potential to transform our understanding of wage and employment issues from labour market entry, through job mobility and career progression to retirement decisions. 

The insights provided by the WED project could be key to informing responses to crucial policy challenges facing the UK, such as reducing in-work poverty – according to the Institute for Fiscal Studies, 58% of those in relative poverty now live in a working household. This demonstrates a need for better understanding of how to support people in their career and wage progression, in addition to getting more people into employment more broadly. 

The WED project will also provide insights to help address systemic inequalities within the labour market, such as the gender pay gap – now standing at 8.9%

Key questions this newly linked dataset could help to address include: 

  • How do the structure and earnings of households affect participation in the labour market? 

  • What role do employers play in wage inequality? 

  • Who does and does not progress out of low pay employment? 

Project details

The Wage and Employment Dynamics dataset will be made available to external researchers via the ONS Secure Research Service towards the end of 2020, or early 2021. Researchers will need to be accredited and submit a successful application to access the data. Check back here for more information coming soon. 

This project has been commissioned by ADR UK via its Research Commissioning Board, a panel of independent experts who rigorously assessed the project to ensure that it represents good science and good value for money.

Details of the funding grant awarded by ADR UK to UWE for this project can also be found on the UK Research and Innovation (UKRI) Gateway to Research platform. 

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