Peter C. Smith is Emeritus Professor of Health Policy. He is a mathematics graduate from the University of Oxford, and started his academic career in the public health department at the University of Cambridge. He has worked and published in a number of disciplinary settings, including statistics, operational research and accountancy. However, his main work has been in the economics of health and the broader public services, and he was a previous Director of the Centre for Health Economics at the University of York. At Imperial he launched and co-directed the Centre for Health Policy in the Institute of Global Health Innovation. Peter has acted in numerous UK governmental advisory capacities. He has also advised many overseas governments and international agencies, including the World Health Organization, the International Monetary Fund, the World Bank, the European Commission, the Global Fund, and the Organization for Economic Cooperation and Development.
He continues to research actively on economic aspects of global health. Current interests include: health system performance assessment, with a particular focus on international comparison; measuring and improving health system productivity; and universal health coverage. With colleagues, he has published widely on these and related topics, including 14 books and over 150 peer-reviewed journal papers.
Morton A, Thomas R, Smith PC, 2016, Decision rules for allocation of finances to health systems strengthening, Journal of Health Economics, Vol:49, ISSN:0167-6296, Pages:97-108
Smith PC, Yip W, 2016, The economics of health system design, Oxford Review of Economic Policy, Vol:32, ISSN:0266-903X, Pages:21-40
Moreno-Serra R, Smith PC, 2015, Broader health coverage is good for the nation's health: evidence from country level panel data, Journal of the Royal Statistical Society Series A - Statistics in Society, Vol:178, ISSN:0964-1998, Pages:101-124
Glassman A, Giedion U, Smith PC, 2017, What's In, What's Out: Designing Benefits for Universal Health Coverage, ISBN:9781933286891