Adding Employee Characteristics to the Annual Survey of Hours and Earnings (ASHE) using the 2011 Census

21/06/2022

Context 

The Wage and Employment Dynamics project, funded by ADR UK, is linking data from official surveys and administrative datasets to provide new insights into the dynamics of earnings and employment in the UK. At the heart of this work is the Office for National Statistics’ (ONS) ASHE dataset, which forms a critical source of information on the earnings of employees in the UK. 

About this event 

In this webinar, the WED team will explain the results of work to link individual records in the ASHE dataset with individual records in the 2011 Census for England and Wales. Where a link has been established, it has been possible for ASHE to incorporate employee-level data from the 2011 Census on a range of personal characteristics, including the employee’s: 

  • educational qualifications 

  • country of birth 

  • ethnicity 

  • religion  

  • disability status.  

The de-identified Census data items are available for the matched individual in any year that they appear in ASHE. The linked dataset will be made available to researchers via the ONS Secure Research Service and will provide opportunities for new research on issues such as the returns to education and wage inequality. 

The webinar will provide researchers with an overview of the linkage process and linkage outcomes. It will also describe the weights that have been constructed to account for linkage biases, and explain how accredited researchers will be able to gain secure access to the linked data. The webinar will consist of one 25-minute presentation, followed by 20 minutes for questions and discussion. The webinar is likely to be of interest to both existing and new users of the ASHE data. 

The session will be led by WED research team members: 

  • John Forth, Senior Lecturer in Human Resource Management, Bayes Business School 

  • Van Phan, Research Associate, University of the West of England 

When: Tuesday 21 June 2022 

Time: 13:00 – 13:45 

Where: Online event 

Cost: Free 

Registration: Via registration form 

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