Matteo M Galizzi is Assistant Professor of Behavioural Science at the LSE. He is affiliated to the Department of Psychological and Behavioural Science, LSE Health and Social Care, and the Centre for the Study of Incentives in Health. He is also in the LSE Behavioural Science Hub Steering Group.
Matteo is an experimental and behavioural economist conducting randomised controlled experiments in health between the lab and the field. Graduated from University of Pavia (Italy), he holds a MSc in Econometrics and a PhD in Economics from the University of York (UK). He has taken research and teaching positions at Universities of Pavia, York, Varese, Autonoma Barcelona, Brescia, Queen Mary, Durham, and Paris School of Economics.
Matteo’s core methodological expertise is the design of lab-field experiments, and behavioural data linking, i.e. the linkage of behavioural economics experiments to surveys, online panels, administrative records, biomarkers banks, and other big data sources. He is working on: i) the unintended behavioural spillovers of policy interventions, nudges, and financial incentives; ii) the links between lab measures and field behaviour (external validity); iii) the behavioural aspects of time, including time preferences, time perception, giving time, time use, and response times. He is leading a project linking experimental, survey, administrative, and biomarkers data for a representative sample of the UK population within Understanding Society, the world-largest household panel.
Matteo teaches Research Methods for the Behavioural Science (SA4M3E) and Behavioural Science for Health (SA4N3E) at the EMSc in Behavioural Science. He is the founder/coordinator of the LSE Behavioural Science blog, the @LSE Behavioural Twitter account, the London Behavioural and Experimental Group (LBEG), the Behavioural Experiments in Health Network (BEH-Net), the Data Linking Initiative in Behavioural Science (DLIBS), the Behaviour & Experiments and Behavioural Public Policy mailing lists, the London Experimental Week, and the LSE Behavioural Economics seminar series.