Kopasker, Daniel and Bronka, Patryk and Thomson, Rachel M and Khodygo, Vladimir and Kromydas, Theocharis and Meier, Petra and Heppenstall, Alison and Bambra, Clare and Lomax, Nik and Craig, Peter and Richiardi, Matteo and Katikireddi, Srinivasa Vittal (2024) Evaluating the influence of taxation and social security policies on psychological distress: A microsimulation study of the UK during the COVID-19 economic crisis. Social Science and Medicine, 351. p. 116953. DOI https://doi.org/10.1016/j.socscimed.2024.116953
Kopasker, Daniel and Bronka, Patryk and Thomson, Rachel M and Khodygo, Vladimir and Kromydas, Theocharis and Meier, Petra and Heppenstall, Alison and Bambra, Clare and Lomax, Nik and Craig, Peter and Richiardi, Matteo and Katikireddi, Srinivasa Vittal (2024) Evaluating the influence of taxation and social security policies on psychological distress: A microsimulation study of the UK during the COVID-19 economic crisis. Social Science and Medicine, 351. p. 116953. DOI https://doi.org/10.1016/j.socscimed.2024.116953
Kopasker, Daniel and Bronka, Patryk and Thomson, Rachel M and Khodygo, Vladimir and Kromydas, Theocharis and Meier, Petra and Heppenstall, Alison and Bambra, Clare and Lomax, Nik and Craig, Peter and Richiardi, Matteo and Katikireddi, Srinivasa Vittal (2024) Evaluating the influence of taxation and social security policies on psychological distress: A microsimulation study of the UK during the COVID-19 economic crisis. Social Science and Medicine, 351. p. 116953. DOI https://doi.org/10.1016/j.socscimed.2024.116953
Abstract
Economic determinants are important for population health, but actionable evidence of how policies can utilise these pathways remains scarce. This study employs a microsimulation framework to evaluate the effects of taxation and social security policies on population mental health. The UK economic crisis caused by the COVID- 19 pandemic provides an informative context involving an economic shock accompanied by one of the strongest discretionary fiscal responses amongst OECD countries. The analytical setup involves a dynamic, stochastic, discrete-time microsimulation model (SimPaths) projecting changes in psychological distress given predicted economic outcomes from a static tax-benefit microsimulation model (UKMOD) based on different policy scenarios. We contrast projections of psychological distress for the working-age population from 2017 to 2025 given the observed policy environment against a counterfactual scenario where pre-crisis policies remained in place. Levels of psychological distress and potential cases of common mental disorders (CMDs) were assessed with the 12-item General Health Questionnaire (GHQ-12). The UK policy response to the economic crisis is estimated to have prevented a substantial fall (over 12 percentage points, %pt) in the employment rate in 2020 and 2021. In 2020, projected psychological distress increased substantially (CMD prevalence increase >10%pt) under both the observed and the counterfactual policy scenarios. Through economic pathways, the policy response is estimated to have prevented a further 3.4% pt [95%UI 2.8%pt, 4.0%pt] increase in the prevalence of CMDs, approximately 1.2 million cases. Beyond 2021, as employment levels rapidly recovered, psychological distress returned to the pre-pandemic trend. Sustained preventative effects on poverty are estimated, with projected levels 2.1%pt [95%UI 1.8%pt, 2.5%pt] lower in 2025 than in the absence of the observed policy response. The study shows that policies protecting employment during an economic crisis are effective in preventing short-term mental health losses and have lasting effects on poverty levels. This preventative effect has substantial public health benefits.
Item Type: | Article |
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Uncontrolled Keywords: | Economic determinants of health; Microsimulation; Social security; Mental health; Policy evaluation |
Divisions: | Faculty of Social Sciences > Institute for Social and Economic Research |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 21 Oct 2025 10:24 |
Last Modified: | 21 Oct 2025 10:24 |
URI: | http://repository.essex.ac.uk/id/eprint/38451 |
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