Matteo M Galizzi is Associate Professor of Behavioural Science and Co-Director of the Executive MSc in Behavioural Science at the LSE. He is affiliated to the Department of Psychological and Behavioural Science, and is in the Steering Groups of the LSE Global Health Initiative and of the LSE Behavioural Science Hub.
Matteo is an experimental and behavioural economist conducting randomised controlled experiments in the area of health and public policy. 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 the universities of Pavia, York, Varese, Autonoma Barcelona, Brescia, Queen Mary, Durham, and Paris School of Economics.
Matteo’s core methodological expertise is in behavioural data linking, i.e. the linkage of behavioural economics field experiments to longitudinal surveys, administrative records, biomarkers banks, mobile and wearable devices, apps, online panels, and other smart data sources. He is interested in exploring the heterogeneous effects, spillover effects, and sustained effects of nudges and other behavioural interventions, especially in health. He is leading an ESRC-funded project linking experimental, survey, administrative, and biomarkers data for a representative sample of the UK population within Understanding Society, the world-largest household panel.
At the LSE Matteo teaches Research Methods for Behavioural Science (PB471E), Frontiers in Behavioural Science Methods (PB413E), and Behavioural Science for Health (PB452E) at the EMSc in Behavioural Science; and Experimental Design and Methods for the Behavioural Science (PB413) and Behavioural Science for Health (PB452) at the MSc in Behavioural Science.
Matteo is the founder/coordinator of the @LSE Behavioural Twitter account, the Behavioural Experiments in Health Network (BEH-net), and the Data Linking Initiative in Behavioural Science (DLIBS). He is the LSE local lead of the UK Reproducibility Network (UKRN).
behavioural economics; experimental economics; health economics; behavioural experiments in health; behavioural spillovers; behavioural data linking; external validity, generalisability, and replicability of economic experiments.