The PhD in 2022/2023 included two terms of intensive courses organized by the PhD in collaboration with the Doctoral School in Economics and with other PhD programs at Sapienza.
PhD students are first invited to take pre-registered online PRE-COURSES in Statistics, Mathematics and Economics.
The following two terms are organized as follows.
The FIRST TERM includes the following basic courses, with indication of the curricula for which they are compulsory. the teacher(s) and the number of credits:
- Statistics | GeoStat, MatStat | M. Geraci | 3 credits
- Probability | GeoStat, MatStat | B. Liseo | 3 credits
- Mathematics | MatStat | A. Palestini| 3 credits
- Macroeconomics | Optional | Nucci & Di Bartolomeo | 4 credits
- Microeconomics | Optional | Panaccione | 4 credits
- Econometrics | GeoStat, MatStat | V. Patella| 4 credits
The exams for I Term courses is compulsory, and will take place in the second half of January.
Those PhD students that are already familiar with the contents of I term courses (see the syllabi) may ask, via their tutor, to be exempted.
The SECOND TERM includes the following compulsory and optional courses:
- Computational Tools for Statistics | GEOSTAT (optional), MATSTAT (optional) | A. Arcagni | 3 credits
- Multivariate Statistics with R | GEOSTAT (optional), MATSTAT (optional) | N. Deliu | 3 credits
- Spatial Data Visualization Analysis and Mapping | GEOSTAT | Celata et al. | 4 credits
- Computational Tools for Finance | MATSTAT | I. Oliva | 3 credits
- Economic Geography | GEOSTAT | Celata et al. | 4 credits
- Environmental Geography | GEOSTAT | Gemmiti et al. | 3 credits
- Qualitative Research Methods | GEOSTAT | Ciampi-Di Feliciantonio et al. | 5 credits
- Spatial Econometrics | GEOSTAT, MATSTAT (optional) | B. Martini | 3 credits
- Bayesian Data Analysis and Computation | MATSTAT (optional) | B. Liseo - A. Tancredi | 3 credits
- Credit Risk | MATSTAT | C. Ceci | 3 credits
- Calculus of Variations and to Optimal Control Theory | MATSTAT (optional) | S. Patrì | 3 credits
- Networks, Complex Networks and Decision-Making on Networks | MATSTAT (optional) | F. Ricca | 2 credits
- Risk Measures | MATSTAT | V. Bignozzi | 2 credits
- Financial Risk Modeling and Forecasting Using Quantile Regression | MATSTAT (optional) | L. Merlo | 2 credits
- Text Mining | Optional | P. Pavone | 2 credits
The SECOND TERM includes also the following compulsory and optional courses, organized by other PhD programme in Sapienza:
- Microeconometrics & Evaluation Methods (PhD Eco/Disse) | GEOSTAT | Belloc, Cerqua, Natticchioni | 3 credits
- Advanced topics in policy evaluation (PhD Disse) | GEOSTAT (otpional) | Cerqua-Pellegrini | 2 credits
- Public Policy Analysis (PhD DISSE) | GEOSTAT | d'Albergo & Moini | 3 credits
- Poverty in a dynamic world (PhD DISSE) | GEOSTAT (otpional) | Montalbano | 3 credits
- Technological change (PhD Eco) | GEOSTAT (otpional) | Guarascio-Cirillo | 5 credits
- Machine Learning for Econometrics (PhD Eco) | MATSTAT (optional) | Ragusa-Bloise | 3 credits
- Casual inference with spatial data (PhD SESS) | GEOSTAT (otpional) | Sciabolazza | 2 credits
- Urban & Labour Economics (PhD SESS) | GEOSTAT (otpional) | G. Croce | 1 credit
Students can also agree with their tutors to attend to any other advanced/PhD course organized in Sapienza or elsewhere.
All courses are in presence and attendance is compulsory.
During the first year, PhD students are expected to attend I and II term courses for a minimum of 45 credits in total. One credit is equal to approximately 5 hours of lectures or labs. If necessary, tutors may allow PhDs to postpone a maximum of 20% of those credits to the second year.
The SYLLABUS for each course is available in the right column in pdf format.
The CALENDAR for the courses is at this link: https://calendar.google.com/calendar/embed?src=c_ae114819945439554e3d5294d662b7b114f89199f0134ba62c619d456a2013e9%40group.calendar.google.com&ctz=Europe%2FRome