ADR UK Research Fellows: Annual Survey of Hours and Earnings linked to Census 2011

Status: Active

The ASHE, conducted annually by the Office for National Statistics (ONS) in April, is the UK's most comprehensive source of information on earnings structure and distribution, providing insights into the levels, distribution, and composition of earnings across all industries and occupations. The census is carried out by the ONS every ten years, and offers a detailed snapshot of the population and households in England and Wales. Linking ASHE to Census 2011 allows for insight into the dynamics of wage and employment issues, and how characteristics such as gender, disability, and ethnicity influence these. This linked dataset was developed as part of the Wage and Employment Dynamics project to aid better understanding of wage inequalities in Britain.

The fellows are using use this dataset to examine issues such as the disability pay gap, the influence of hiring discrimination on skills and outcomes for workers, and how geographic factors affect job mobility for workers of different educational levels. Fellows are accessing the de-identified dataset via the ONS Secure Research Service.

Learn more about the Research Fellows and their projects below.

 

Dr Daniel Derbyshire 

Exploring factors affecting the disability pay gap 

Daniel is a Research Fellow at the University of Exeter. His project examines the extent to which the disability pay gap varies in society and across different areas of England, and to explore the underlying drivers of the disability pay gap. The disability pay gap refers to the difference in average hourly pay between disabled people and non-disabled people.

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This project aims to answer the following research questions:  

  1. To what extent does the disability pay gap vary across different parts of England and what are the underlying drivers of spatial disparities? 
  2. How do other important socio-demographic characteristics (e.g. race and gender) intersect with disability with regard to differences in pay? 
  3. What are the underlying drivers of the disability pay gap in England? 
  4. Can the ASHE-Census 2011 dataset be used to explore factors relating to disability in years other than 2011?  

The methodology used in this study:  

  • This project is using the ASHE-Census 2011 to investigate how the disability pay gap varies around the country, for example in the south west versus north east of England.
  • The project will also compare the disability pay gap between men and women to see if the disability pay gap is bigger for men or women. Similarly, the data will be used to look at ethnic disability pay gaps, to see whether the disability pay gap is bigger for disabled people from minority ethnic groups. 
  • Another part of the project will explore the factors that contribute to the disability pay gap and show the extent to which it can be explained by other factors. These other factors could include differences in the industry that disabled and non-disabled people work in, or differences in the average age between disabled and non-disabled people. This will allow identification how much of the disability pay gap cannot be explained by other factors and is due to labour market discrimination. 

Funded value: £174,384 

Duration: June 2024 – November 2025

Dr Kathyrn R. Fair 

Measuring inequality-driven skills gaps in the UK labour market 

Kathryn is a Senior Research Associate at The Alan Turing Institute. This project examines how hiring discrimination influences the types of skills that workers within the UK labour market have, and how this impacts outcomes for individuals and the economy. 

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This project aims to answer the following research questions:  

  1. How does hiring discrimination influence the skills UK workers have? 
  2. How does hiring discrimination impact outcomes for workers (e.g. in terms of their earnings)? 
  3. How does hiring discrimination affect the productivity of industries and the UK economy as a whole? 

The methodology used in this study:

  • This project uses a model where people move through the UK economy, searching for, applying, and moving to new jobs. These people have different ethnicities and genders and possess different skills. Over time, as they move from job to job, they will become more adept in the skills they use more (or need to be better at in their current job) and less adept in those skills they use less.   
  • Within the model, people consider job prospects, factoring in things like wages, the industry the job is in, and how far away the new job is. When many people apply for the same job, the best candidate will be hired – judged based on who has the best combination of the most suitable skills, comes from the most similar industry, and is geographically closest. The movements of these workers create patterns of job-to-job movement between and within different industries, occupations, and regions within the UK.
  • We can introduce hiring discrimination to the model, by adding people’s personal characteristics (like gender and ethnicity) as factors that influence hiring teams’ decisions, therefore creating long-term repercussions for all the candidates (e.g. because they miss an opportunity to earn more or develop new skills) and affecting their future job prospects.
  • Using this model, we will explore different scenarios – with and without different levels or types of hiring discrimination - to better understand how hiring discrimination impacts individuals, industries, and the UK economy. 

Funded value: £163,523 

Duration: September 2024 – March 2026 

Dr Mimosa Distefano 

Local area size and job-to-job mobility 

Mimosa is a post-doctoral researcher at the Centre for Economic Performance, London School of Economics. Her project studies how job opportunities for workers with different levels of formal education compare across areas, and the role of city size in affecting these opportunities.

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This project aims to answer the following research questions:  

  1. Do differences in local economic opportunities affect workers in the same way? 
  2. Does changing jobs frequently increase the wage growth of both workers with more formal education and those with less?  
  3. Does the local area where workers start their first job matter for their future careers and wage growth? 
  4. Do differences in firm productivity across local areas matter for workers with more formal education and workers with less? 

The methodology used in this study:  

  • The project will estimate how much individual wage growth is due to the worker changing jobs and how this varies by city size. Event-study analysis - a research method that looks at the effects of specific events over time - will be used to compare the wage growth of comparable workers with the same education level employed in different local areas. 
  • The analysis will use firm closures to estimate the effect of city size on workers’ re-employment probability and wage growth. This method allows one to isolate the role of city size from other confounding factors, such as individual characteristics, that affect a worker’s decision to change jobs and firms. 
  • Third, the project will focus on the type of firms that are located in big versus small labour markets and analyse how the distribution of firms in the local area impacts workers’ wage growth.

Funded value: £146,941

Duration: October 2024 – March 2026 

Categories: Research using linked data, ADR UK Research Fellows, ADR England, Office for National Statistics, Housing & communities, Inequality & social inclusion, World of work

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