Istruzione
- Dottorato in Economia e Finanza (2020) - Università Cattolica del Sacro Cuore di Milano
Titolo Tesi: “Essays on Tax Compliance”
Capitoli della tesi:
1) Tax Compliance and Social Conformity in Italy: Evidence from an Agent Based Model
2) Predicting the Deterrence Effect of Tax Audits. A Machine Learning Approach
- Laurea Magistrale in Statistica, Economia e Impresa (2016) - Università di Bologna
- Laurea Specialistica in Economia (2010) - Università di Bologna
- Laurea Triennale in Economia e Commercio (2007) - Università di Verona
Posizione Attuale
Assegnista di ricerca - Dipartimento di Scienze Economiche, Alma Mater Studiorum - Università di Bologna. Da aprile 2022
Tutor didattico (Microeconomia, Macroeconomia) - Dipartimento di Scienze Economiche, Alma Mater Studiorum - Università di Bologna
Posizioni Passate
- Collaboratore in attività di Ricerca - Università Bicocca di Milano, nell’ambito del Progetto “Using Machine Learning Techniques to Predict Aggressive Tax Planning by Multinational Firms”, da marzo a giugno 2021
- Tutor associato ad insegnamenti - Università Bicocca di Milano, 2019. Insegnamento: Microeconomia e Storia Economica
Pubblicazioni
Borrotti, M., Rabasco, M., & Santoro, A. (2023). Using Accounting Information to Predict Aggressive Tax Location Decisions by European Groups. Economic Systems, 101090.
Rabasco, M., & Battiston, P. (2023). Predicting the deterrence effect of tax audits. A machine learning approach. Metroeconomica.
Corsi di Formazione
- Foundations of Data Science (2019) - Graduate School of Economics di Barcellona
- Bayesian Machine Learning in Social Sciences (2019) - Graduate School of Economics di Barcellona
- SAS Programming-Data Management (2016) - SAS Institute
English Version
Education
- PhD in Economics and Finance (2020) - Università Cattolica del Sacro Cuore di Milano
Thesis: “Essays on Tax Compliance”
Chapters:
1) Tax Compliance and Social Conformity in Italy: Evidence from an Agent Based Model
2) Predicting the Deterrence Effect of Tax Audits. A Machine Learning Approach
- Master's Degree in Statistica, Economia e Impresa (2016) - University of Bologna
- Master's Degree in Economia (2010) - University of Bologna
- Bachelor's Degree in Economia e Commercio (2007) - University of Verona
Current Job Position
Research Fellow - Department of Economics, Alma Mater Studiorum - University of Bologna. From April 2022
Tutor, Department of Economics (Microeconomics, Macroeconomics) - Alma Mater Studiorum - University of Bologna
Previous Job Positions
- Research Associate - Bicocca University of Milan, Project: “Using Machine Learning Techniques to Predict Aggressive Tax Planning by Multinational Firms”, March - June 2021
- Tutor - Bicocca University of Milan, 2019. Teaching: Microeconomics and Economic History
Publications
Borrotti, M., Rabasco, M., & Santoro, A. (2023). Using Accounting Information to Predict Aggressive Tax Location Decisions by European Groups. Economic Systems, 101090.
Rabasco, M., & Battiston, P. (2023). Predicting the deterrence effect of tax audits. A machine learning approach. Metroeconomica.
Training Course
- Foundations of Data Science (2019) - Graduate School of Economics di Barcellona
- Bayesian Machine Learning in Social Sciences (2019) - Graduate School of Economics di Barcellona
- SAS Programming-Data Management (2016) - SAS Institute
