Health Economics

Background

The Health Economics Research Cluster brings together economists at the University of Reading who apply economic theory and empirical methods to questions of health, wellbeing and health care. Members draw on expertise in applied microeconomics and microeconometrics, labour and household economics, development economics, behavioural and experimental economics, regulation, and environmental economics.

Our current research spans child health and human capital in developing countries, including the intergenerational transmission of health and the effects of malaria, domestic violence and environmental hazards on child outcomes; women’s health, fertility and the workplace, including maternal wellbeing and infant feeding; health behaviours such as exercise, sleep and drug taking, and how they change over the life cycle; and health policy, regulation and the quality of health care, from evidence-based medicine to early disease screening. Growing areas of interest include the links between health and the environment, and behavioural approaches to health decisions and the design of health systems. We welcome collaboration with colleagues across the University and beyond.

Our Members

Publications

Events

  • CombiDiag Workshop
    Date: 16–17 July 2026
    Venue: University of Reading, United Kingdom
    Organiser: Fangya Xu
    Programme: Download the workshop programme (Word document)

    The workshop brought together researchers from a wide range of disciplines to share findings and exchange ideas on neurodegenerative disease, with a particular focus on dementia. Discussions highlighted how interdisciplinary collaboration can help address some of the most complex challenges in dementia research.

Funded Projects

  • Peripheral Biomarker Based Combinatorial Early Diagnostics for Dementia (CombiDiag)
    Funder: Horizon Europe Marie Skłodowska-Curie Actions (funded by UKRI)
    Duration: 2023–2027 (extended from 2026)
    Project Lead (Economics): Fangya Xu
    University of Reading allocation: £265,251

    CombiDiag aims to develop an AI-based diagnostic protocol for the early detection of Alzheimer’s disease using peripheral biomarkers. The Reading team leads the health economics strand of the network, evaluating the cost-effectiveness of biomarker-based diagnostic pathways, applying health technology assessment (HTA) methods, and modelling the budget impact of alternative delivery pathways for biomarker testing.

Research Led Teaching

  • To be added