Maria Felice Arezzo

Maria Felice Arezzo is an Associate Professor at the Department of Methods and Models for Economy, Territory and Finance, Sapienza University of Rome. Her work focuses on statistical modeling, selection bias, undeclared work, and policy evaluation. She coordinates the EU project Fraud Repression through EDucation 2 (FRED2) and has served as Associate Editor of Statistical Methods & Applications since 2019. Her research spans econometrics, health economics, and social capital analysis.

• Current projects: EU-funded FRED2 (2023-2025)
• Editorial roles: Associate Editor of Statistical Methods & Applications (2019-2023)

Her research addresses methodological challenges in measuring undeclared economic activities, with applications to European labor markets and policy evaluation. She develops statistical models correcting measurement errors and sample selection biases in economic surveys.

Recent publications focus on beta regression models for informal employment analysis, EM algorithm applications for survey correction, and Benford's Law for audit rationality. Her work also examines mental health impacts of the pandemic and social capital's role in health outcomes among elderly populations.

Scientific contributions include:

• Methodological advancements in econometric modeling
• Evaluation of European undeclared work
• Policy analysis for tax compliance
• Public health impact studies