Accessibility statement

Nigel Rice



Nigel Rice is Professor of Health Economics in the Department of Economics and Related Studies and Centre for Health Economics. His current research interests focus on the determinants on health and drivers of health care demand; physical and mental health and labour market participation, productivity, and the role of disability; and early life circumstances and later life outcomes. He also has an interest in applications of microeconometric techniques, in particular approaches to modelling ordered categorical responses, panel data, and health care cost data. He has extensive experience in working with administrative data and longitudinal surveys.

Departmental roles

  • Director, Health, Econometrics and Data Group (HEDG)
  • Impact and Knowledge Exchange Lead
  • Member of DMT
  • Member of DRC
  • Performance Reviewer‌



Nigel has published over 90 articles in leading international peer-reviewed journals including Journal of Applied Econometrics, Oxford Bulletin of Economics and Statistics, Journal of The Royal Statistical Society (series A), Journal of Economic Behavior and Organization; together with field journals in both health and labour economics. He has also published extensively in journals focused on health services research and health policy (e.g. Health Affairs, BMJ). A full list of publications can be found on PURE. He served as a co-editor of the Journal of Health Economics from 2010-2017 and is current an emeritus editor. Andrew Jones, James Lomas and Nigel Rice were awarded the inaugural Willard G. Manning award for the Best Research in Health Econometrics by the American Society of Health Economists in 2016. He has supervised 18 PhD students to completion. 

Nigel has extensive experience of grant funded research, including ESRC and MRC awards, and is currently co-investigator on a large programme of research within the Economics of Health and Social Care Research Unit (ESCHCRU II). ESHCRU II is the NIHR Policy  Research Unit in the economics of health systems and its interface with social care. It represents a collaboration between the Centre for Health Economics (CHE) at the University of York and the Care Policy Evaluation Centre (CPEC) at The London School of Economics and Political Science. ESHCRU II aims to provide a long-term resource for policy research and a rapid response service to provide evidence for emerging policy needs. Click here for further information about ESHCRU

Research group(s)



  • Health Economics


  • Health Economics
  • Health Economics for Research


Selected publications

  • Kasteridis, P., Rice, N., Santos, R. Heterogeneity in end of life health care expenditure trajectory profiles. Journal of Economic Behavior and Organization. 2022, 204: 221-251.
  • Rice, N., Robone, S. The effects of health shocks on risk preferences: Do personality traits matter? Journal of Economic Behavior and Organization, 2022, 204: 356-371.
  • Jones, A.M., Macchioni, A. Rice, N., Zantomio, F. Labour supply and informal care responses to health shocks within couples. Health Economics. 2022, 31(12): 2700-2720.
  • Bryan, M., Bryce, A., Rice, N., Roberts, J., Sechel, C. Exploring mental health disability gaps in the labour market: the UK experience during COVID-19. Labour Economics 2022 (online preprint) doi:10.1016/j.labeco.2022.102253
  • S. von Hinke, Rice, N., Tominey, E. Mental health around pregnancy and child development from early childhood to adolescence. Labour Economics 2022 (online preprint) doi:10.1016/j.labeco.2022.102245
  • Bryan, M., Rice, N., Roberts, J., Sechel, C. Mental health and employment: a bounding approach using panel data. Oxford Bulletin of  Economics and Statistics, 2022, 84(5): 1018-1051. Doi: 10.1111/obes.12489
  • J. Stokes, Bower, Guthrie, Mercer, N. Rice, Ryan, and M. Sutton. Cuts to local government spending, multimorbidity and health-related  Quality of life: A longitudinal ecological study in England. The Lancet Regional Health Europe, 2022. 
  • Greene, W.H., Harris, M.N., Knott, R., Rice, N. Specification and testing of hierarchical ordered response models with anchoring  vignettes.  Journal of the Royal Statistical Society (Series A), 2021; 184: 31-64. (accepted 19/06/20). DOI: 10.1111/rssa.12612
  • Harris, M., Knott, R., Lorgelly, P., Rice, N. Using externally collected vignettes to account for reporting heterogeneity in survey self-assessments. Economics Letters, 2020, 194. 
Staff Photo for Nigel Rice

Contact details

Nigel Rice
Centre for Health Economics