Each component of the project will need very different methodologies:
Research question 1 – What are the key components of regional economic resilience, and how can we measure them?
We will conduct desk-based research combined with a series of workshop-based consultations with stakeholders. These activities will give us an understanding of the key elements of regional economic resilience that are important, both in terms of the existing evidence base but also to users. Having defined these dimensions, we would assess the availability and suitability of data on these outcomes. We will work with ONS colleagues to identify relevant stakeholders – and to ensure that there is coordination with existing work in this area in ONS.
Research question 2 – Can we develop methods that enable us to rigorously explore how UK-wide economic shocks differentially affect sub-national resilience?
The project also aims to address the challenge of analysing regional economic resilience using econometric methods. We will explore how different types of econometric model be applied. These will be time series models, using mixed-frequency data (typically annual and quarterly data). We have a particular focus on combining aggregate measures such as GVA with distributional data such as on the income distribution, thus combining macroeconomic and microeconomic data into a single model. Developing this class of model will require a series of method developments.
There are two models that we are developing, each makes use of these mixed frequency micro and macro variables in a different way. The first is known as a functional VAR – which are a recent development in the academic literature. The other is known as a pseudo VAR – which is a new type of model developed by the research team. Both models reflect that we are working at a sub-national level, and also consideration of how best to exploit the UK data in the model, whilst ensuring that our regional estimates are consistent with the aggregate UK estimates and data.
More detail on these models is provided in the ESCoE conference presentations linked below.