1. Masci, C.; Ieva, F.; Agasisti, T.; Paganoni A.m. (2019)
    Evaluating class and school effects on the 
    joint achievements in different subjects: a bivariate semi-parametric mixed-effects model.
    Submitted [MOX report]
  2. Fontana, L.; Masci, C.; Ieva, F.; Paganoni, A.m. (2019)
    Performing Learning Analytics via 
    Generalized  Mixed-Effects Trees“.
    Submitted [MOX report]
  3. Massi, M., Ieva, F., Lettieri, E. (2018)
    Data Mining Application to Healthcare Fraud Detection: A Two-Step Unsupervised Clustering Model for Outlier Detection with Administrative Databases.
    Submitted [MOX report]
  4. Masci, C., Johnes, G., Agasisti, T. (2017)
    Student and School Performance in the OECD: a Machine Learning Approach
    Submitted [MOX report]
  5. Mazzali C, Lettieri E, Roshangalb A. (2017)
    Can we measure the ‘hospital effect’ on performance from administrative data? Insights from the HF-Data research project in Italy,
  6. Mazzali, C., Lettieri, E. (2017)
    Mortality and Readmissions for Heart Failure Patients: Insights on the Composite Outcome.
  7. Agasisti, T., Falzetti, P., Soncin, M. (2016)
    Italian school principals’ managerial behaviors and students’ test scores: an empirical analysis.
    Società Italiana di Economia Pubblica (SIEP) Working paper No. 709. [url]