Preprints

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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,
   Submitted
6. Mazzali, C., Lettieri, E. (2017)
   Mortality and Readmissions for Heart Failure Patients: Insights on the Composite Outcome.
   Submitted
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]
   

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