Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
Definition of lesson periods
Oct 1, 2018
Jan 31, 2019
Mar 4, 2019
Jun 14, 2019
Sessione invernale d'esame
Feb 1, 2019
Feb 28, 2019
Sessione estiva d'esame
Jun 17, 2019
Jul 31, 2019
Sessione autunnale d'esame
Sep 2, 2019
Sep 30, 2019
Sessione di laurea estiva
Jul 22, 2019
Jul 22, 2019
Sessione di laurea autunnale
Oct 15, 2019
Oct 15, 2019
Sessione di laurea autunnale straordinaria
Nov 21, 2019
Nov 21, 2019
Sessione di laurea invernale
Mar 19, 2020
Mar 19, 2020
Sospensione attività didattica
Nov 2, 2018
Nov 3, 2018
Vacanze di Natale
Dec 24, 2018
Jan 6, 2019
Vacanze di Pasqua
Apr 19, 2019
Apr 28, 2019
Aug 5, 2019
Aug 18, 2019
Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University. Please select your Study Plan based on your enrolment year.
Statistic tools and economic theory will be applied in order to provide students with capabilities to understand and perform empirical analysis of economic phenomena. Empirical problems and applications will be discussed during the course to provide students with the tools needed for the analysis of economic data.
- Economic questions and data
- Review of probability
- Review of statistics
2. The regression analysis
- Linear regression model: single regressor and multiple regressors
- Ordinary least squares estimation of model coefficients
- Least squares assumptions
- Properties of OLS estimators
- Hypothesis testing and confidence intervals
- Goodness of fit
- Heteroschedasticity and homoschedasticity
- Omitted variable bias
- Generalized least squares
- Nonlinear regression functions
- Assessment of studies based on multiple regression
3. Extensions to the regression model
- Models for binary dependent variable
- The instrumental variable estimator
R. Carter Hill, William E. Griffiths, Guay C. Lim
Principi di econometria
The final exam consists of a written exam and a homework. The final grade will be obtained as a weighted average of the two parts with weight 90% (written exam) and 10% (homework).
The written exam will last two hours and will cover all the program of the course. The homework will be developed independently and it will be one of two typologies (Homework I e Homework II). Every student is free to choose one of the two typology, but at least one has to be chosen. After the deadline for Homework II, student would only be able to choose Homework I
The student has to choose one article about economic issues and using data. As an example, the student can choose one article from www.lavoce.info, www.voxeu.org ... The student will have to write a critical assessment of the article (max 2000 words, discussing methodology with proposals for alternative analysis and further research) that will be handed in (by mail or in person) before the date of the written exam.
Analysis of data using GRETL. Before 31st December 2018, the student interested in Homework II should write an email with name, surname and univr-id. On 3rd January the text of the homework and data will be delivered. The solution should be handed in before 31st January 2019.
Type D and Type F activities
Modules not yet included
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details.
As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, except for specific practical or lab activities, attendance is not mandatory. Regarding these activities, please see the web page of each module for information on the number of hours that must be attended on-site.
Please refer to the Crisis Unit's latest updates for the mode of teaching.
I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.