Michele Castelli is Associate Professor in Political Science at the University of Milan Bicocca. He is a health policy and systems researcher whose work focuses on comparative health systems, health inequalities, access to healthcare, and the political economy of health. He has held academic positions at Newcastle University and Durham University in the UK. His research has been supported by major international funders and he has published in leading journals on health policy, public health, and global health. Alongside his research, he has held leadership roles in postgraduate education.

Paolo Berta is Full Professor of Public Economics at the Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Italy. His research focuses on health economics, statistical evaluation of healthcare systems, and policy evaluation, with particular emphasis on quasi-experimental and econometric methods. His work relies extensively on administrative data at the regional and national levels.

Sara Muzzì is a PhD student in Public Health, Epidemiology, Statistics, and Economics at University of Milano Bicocca. Her research focuses on causal inference and econometric methods for the statistical modelling and economic evaluation of public health policies using administrative data. Her work examines the impact of health system shocks and policies on healthcare utilization and outcomes, including the effects of the COVID-19 pandemic on non-deferrable diseases, public transport strikes on healthcare expenditure and accidents, and the expansion of broadband coverage on diagnostic prescription patterns. It also investigates regional variation in healthcare use and the impact of population ageing on healthcare expenditure.

Giulia Tarantino is a PhD student in Public Health, Epidemiology, Statistics, and Economics at the University of Milano-Bicocca. Her research focuses on the impact of health and economic shocks and policies, on healthcare outcomes and costs. Current projects include the evaluation of PNE indicators, the analysis of primary care discontinuities within the Age-It project, hospital cost forecasting for specific patient categories, and other related aspects. Her scientific interests encompass statistical modeling, causal inference methods, and economic evaluation in public health, with a particular emphasis on the use of healthcare administrative data.