Tiziano Arduini

Tiziano Arduini serves as an Associate Professor of Econometrics in the Department of Economics and Finance (DEF) at Tor Vergata University of Rome, holding position within the ECONOMETRICS [SECS-P/05] sector. He teaches graduate courses including 'Causal Inference' and 'Quantitative Methods for Economics' for Master's Degree programs, maintaining an active research profile with institutional contact through tiziano.arduini@uniroma2.it and Twitter @ardui1.

His research centers on microeconometrics with specialized focus on social interaction effects in economic outcomes, particularly examining how network structures influence health behaviors like eating disorders. Methodologically, he develops advanced techniques for causal inference under interference, network identification with heterogeneous interactions, and partial identification frameworks for treatment response. His work bridges theoretical econometrics with empirical applications in health economics, residential choice, and crisis modeling.

Analysis of his 2019-2024 publications reveals dominant themes in network econometrics and interference-aware causal methods, including regression discontinuity designs under spillovers and complementarity/substitutability frameworks. Key applications span health risk behaviors (eating disorders, substance use), residential mobility decisions, and financial crisis dynamics, consistently addressing identification challenges in peer effect estimation.

Scientific Awards: No awards mentioned in source materials.

Advising and Grants: Source texts provide no information regarding student supervision, grant funding, or research projects.

Research Infrastructure: No dedicated laboratories, research centers, or collaborative teams are specified in available documentation.