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Scottish Graduate School of Social Science

Sgoil Cheumnaichean Saidheans Sòisealta na h-Alba
  • About us
    • Governance
    • Challenge-Led Pathways
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Studentship opportunity

All Studentship Opportunities

Empirical studies of behavioural and distributional effects of Scottish Income Tax

This studentship is funded by the ESRC through the Scottish Graduate School of Social Science (SGSSS)

Institution
University of Strathclyde
Pathway
Social Inequalities
Studentship
Open Collaborative
Mode of study

Full-time / Part-time

Application deadline
4pm, 14 April 2022
Applications are due 24 March 2026, 5 pm GMT and
References are due 26 March 2026, 5 pm GMT

Project details

This project will provide a comprehensive empirical analysis of the behavioural and distributional effects of Scottish Income Tax divergence from the rest of the UK. Since 2018, Scotland has introduced distinctive tax rates and bands, creating a quasi-experimental setting to understand how tax affects work incentives, income adjustment behaviours, and household welfare. With National Insurance thresholds remaining aligned across the UK while income tax thresholds diverge, and relevant elements of the benefit system such as Child Benefit and the High Income Child Benefit Charge, are reserved to the UK Government, understanding the combined effects on different household types is crucial for evidence-based policymaking.

The research will address some core questions, such as:
– How the Scottish tax-benefit system affect household-level work incentives, particularly for second earners
– What behavioural responses occur around key thresholds such as the higher-rate threshold and High Income Child Benefit Charge?
– How cost-of-living variations by household type and location inform debates on tax competitiveness and fairness?

Using rich administrative and survey microdata from HMRC and DWP, the project will employ advanced quasi-experimental methods, leveraging Scotland as a treatment group with the rest of the UK as a comparison.

The collaboration with the Scottish Government is central to this project’s success. Two three-month placements will provide the student with access to restricted administrative data, opportunities to engage with policy practitioners, and experience translating academic research into policy-relevant outputs. The student will be embedded within Strathclyde’s Fraser of Allander Institute, a leading economic research centre with established expertise in Scottish tax analysis and strong knowledge exchange capabilities.

Outputs will include research papers for peer-reviewed journals, policy briefs, and knowledge exchange activities through the Fraser of Allander Institute’s influential platforms, ensuring maximum impact for both academic and policy audiences.

Collaborative Partner: Scottish Government

Supervisory Team:

  • First Supervisor: Dr João Sousa, joao.sousa@strath.ac.uk
  • Second Supervisor: Dr Otto Lenhart, otto.lenhart@strath.ac.uk
  • Third Supervisor: Professor Stuart McIntyre, s.mcintyre@strath.ac.uk

About the University

The research focus of the Department of Economics is on policy-relevant applied economics research, and we have specialists in applied microeconomics, macroeconomics and econometrics.

The Department is home to the Fraser of Allander Institute, which for 50 years has been a leading independent economic research institute focused on the Scottish economy giving PhD students the opportunity to become part of a department with strong links to the world of policy and business. We have a lively PhD programme in economics with a regular inflow of new students each year.

You’ll benefit from a team of three supervisors with specialist knowledge in your field.

You’ll join our economics research community, engage with our regular seminar series of external speakers, our brown bag workshop series to explore early research ideas, and with our annual Postgraduate Research Conference where you’ll present your research.

Eligibility

Applicants must meet the following eligibility criteria:

  • Applicants must hold or be predicted a First or a good 2:1 undergraduate degree in the social sciences, or have relevant comparable experience.
  • Applicants can have a Masters degree, however this is not a requirement.
  • The applicant must also show demonstrable interest in the topic area under investigation.
  • Applicants can study part-time or full-time

Experience with coding in R or Stata and with using large economics and/or tax datasets is desirable but not essential.

Funding

As per guidance published by UKRI in October 2020, a maximum of 30% of all studentships awarded can be made to international students, with the remaining 70% going to home students. 

Residential Criteria

To be classed as a home student, applicants must meet the following criteria:

  • Be a UK national (meeting residency requirements), or
  • Have settled status, or
  • Have pre-settled status (meeting residency requirements), or
  • Have indefinite leave to remain or enter.

For more on the UKRI eligibility guidance, click here

As per guidance published by UKRI in October 2020, a maximum of 30% of all studentships awarded can be made to international students, of which SGSSS has now awarded for the 2021/22 round of studentship awards. As such, this opportunity is only open to home students.

Residential Criteria

To be classed as a home student, applicants must meet the following criteria:

  • Be a UK national (meeting residency requirements), or
  • Have settled status, or
  • Have pre-settled status (meeting residency requirements), or
  • Have indefinite leave to remain or enter.

If you do not meet the criteria above, you will be classed as an international student and will not be eligible to apply. To establish if you would be classed as a home student, please see pages 4 and 5 of the UKRI eligibility guidance here.

Award details

The scholarship is available as a +3.5 (3 year PhD and placement) or a 1+3.5 (Masters year, 3 year PhD, and a placement) studentship depending on prior research training. This will be assessed as part of the recruitment process, however you can access guidance here to help you decide on which to apply for. The programme will commence in October 2026. The full ESRC studentship package includes, as advised by ESRC:

  • An annual maintenance grant (stipend)
  • Fees at the standard institutional home rate
  • Students can also draw on a pooled Research Training Support Grant (RTSG)

Other information

How to apply

  1. Applicants must register on SGSSS Apply, completing their Equal Opportunities data.
  2. Applicants must apply via SGSSS Apply, uploading the following documentation:

    • Application Questions (answered within SGSSS Apply, no upload needed)
    • Academic transcripts
    • Academic prizes
    • Referee information
    • CV
    • Other information (if required by the advert)
We strongly encourage applicants review the applicant guidance document for more on the process. 

Please Note:

  • This is not an application to the relevant University, this is an application for SGSSS (ESRC) funding.
  • Students do not need a Masters/PhD offer from the relevant University before they can apply for funding, i.e. this studentship.
  • If successful in obtaining the SGSSS (ESRC) studentship, students can only start the funded studentship once they have an unconditional Masters/PhD degree offer from the relevant University. It is your responsibility to find out the University’s application process, including when you need to secure your offer, as SGSSS plays no role in this process.

This studentship opportunity will open for applications on 9th June.

Apply now via SGSSS Apply

Selection process

Applications will be ranked by an internal institutional selection panel, and you will be notified if you have been shortlisted for interview on 8 April. Interviews will take place on 22 April.

This studentship award is subject to the successful candidate securing admission to a PhD programme within the University of Strathclyde. The successful candidate will be invited to apply for admission to the relevant PhD programme.

Contact details

Name
Team SGSSS
Email
SGSSS Team (for questions on the application portal, only), for any questions on the project, email the supervisory team (see details in abstract above)

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