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Using the Dynamic Microsimulation MINOS to Evidence the Effect of Energy Crisis Income Support Policy (Short Paper)

Authors Robert Clay , Luke Archer , Alison Heppenstall , Nik Lomax

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Author Details

Robert Clay
  • University of Leeds, UK
Luke Archer
  • University of Leeds, UK
Alison Heppenstall
  • School of Political and Social Sciences, MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, UK
Nik Lomax
  • School of Geography, University of Leeds, UK

Funding

This work was supported by the UK Prevention Research Partnership (MR/S037578/1, Meier), which is funded by the British Heart Foundation, Cancer Research UK, Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Health and Social Care Research and Development Division (Welsh Government), Medical Research Council, National Institute for Health Research, Natural Environment Research Council, Public Health Agency (Northern Ireland), The Health Foundation and Wellcome.

Cite AsGet BibTex

Robert Clay, Luke Archer, Alison Heppenstall, and Nik Lomax. Using the Dynamic Microsimulation MINOS to Evidence the Effect of Energy Crisis Income Support Policy (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 21:1-21:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/LIPIcs.GIScience.2023.21

Abstract

Rates of anxiety and depression are increasing due to financial stress caused by energy pricing with over half of UK homes unable to afford comfortable heating. UK Government policies to address this energy crisis have been implemented with limited evidence and substantial criticism. This paper applies the dynamic microsimulation MINOS, which utilises longitudinal Understanding Society data, to evidence change in mental well-being under the Energy Price Cap Guarantee and Energy Bill Support Scheme Policies. Results demonstrate an overall improvement in Short Form 12 Mental Component Score (SF12-MCS) both on aggregate and over data zone spatial areas for the Glasgow City region compared with a baseline of no policy intervention. This is work in progress and discussion highlights potential future work in other energy policy areas, such as Net Zero.

Subject Classification

ACM Subject Classification
  • Applied computing → Sociology
Keywords
  • Dynamic Microsimulation
  • Mental Health
  • Energy Poverty

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References

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