معرفی
Denni Tommasi is an Associate Professor at the University of Bologna (Italy) in the Department of Economics, with affiliations as an Invited Researcher at J-PAL and a Research Fellow at IZA and SoDA Labs. He holds a Ph.D. in Economics from ECARES, Université libre de Bruxelles (Belgium). His research focuses on development economics, labor economics, and causal inference, with notable contributions to program evaluation and measurement error analysis.
Education: Ph.D. in Economics (2017) from ECARES, Université libre de Bruxelles; prior academic roles include Assistant Professor at the University of Bologna (2021–2023) and Monash University (Australia, 2018–2021).
Research Interests: Development economics (informality, intra-household inequality), labor economics (employment prospects), and causal inference (measurement error, program evaluation). Current projects include vocational training for refugee youth, active labor market policies, and AI applications in causal inference.
Key Publications: Notable works include 'Identifying Program Benefits when Participation is Misreported' (Journal of Applied Econometrics, 2024) and 'Time of Day and High Stakes Cognitive Assessments' (Economic Journal, 2023), which received the AES 2024 Award in Health Economics. His research also explores digital divide reduction and diffusion in social networks.
Scientific Awards: AES 2024 Award for Best Paper in Health Economics (2023), Shortlisted 2015 WAF Award, and recognition in Monash Research Awards.
Advising & Grants: Collaborates on projects with T. Wicker, V. Rattini, and others. Software contributions include Stata packages 'ivreg2m' and 'ivbounds' for treatment effect estimation.
Labs/Teams: Affiliated with J-PAL, IZA, and SoDA Labs, contributing to interdisciplinary research on policy evaluation and development initiatives.
