Studying at the University of Verona
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.
Academic calendar
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.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
| Period | From | To |
|---|---|---|
| primo semestre | Sep 23, 2013 | Jan 10, 2014 |
| secondo semestre | Feb 17, 2014 | May 30, 2014 |
| Session | From | To |
|---|---|---|
| Sessione Prove Parziali - Primo Semestre | Nov 11, 2013 | Nov 15, 2013 |
| Sessione Invernale Esami | Jan 13, 2014 | Feb 15, 2014 |
| Sessione Prove Parziali - Secondo semestre | Apr 14, 2014 | Apr 18, 2014 |
| Sessione Estiva esami | Jun 3, 2014 | Jul 12, 2014 |
| Sessione Autunnale Esami | Aug 25, 2014 | Sep 10, 2014 |
| Session | From | To |
|---|---|---|
| Sessione di Lauree - Novembre | Nov 7, 2013 | Nov 8, 2013 |
| Sessione di Lauree - Aprile - Verona | Apr 9, 2014 | Apr 10, 2014 |
| Sessione di Lauree - Settembre | Sep 11, 2014 | Sep 12, 2014 |
| Period | From | To |
|---|---|---|
| Vacanze Natalizie | Dec 23, 2013 | Jan 4, 2014 |
| Vacanze Estive | Aug 11, 2014 | Aug 23, 2014 |
Exam calendar
Exam dates and rounds are managed by the relevant Economics 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.
Should you have any doubts or questions, please check the Enrollment FAQs
Academic staff
doriano.benedetti@univr.it
045 802 8271
silvano.corbella@univr.it
andrea.guerrini@univr.it
Mussini Mauro
mauro.mussini@univr.it
maurizio.pizzamiglio@univr.it
fabio.sartori@univr.it
Study Plan
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 enrollment year.
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year activated in the A.Y. 2014/2015
| Modules | Credits | TAF | SSD |
|---|
3° Year activated in the A.Y. 2015/2016
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Introductory econometrics (2015/2016)
Teaching code
4S02453
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-P/05 - ECONOMETRICS
The teaching is organized as follows:
lezione
esercitazione
Learning outcomes
Many economic decisions need quantitative answers to quantitative questions. The course plans to provide the basic econometric tools to reach two mail goals: 1) running, based on the available data, a quantitative analysis of the relation between economic variables and 2) correctly interpreting the results.
Econometric tools may be used in many economic domains (finance, labor economics, macroeconomics, microeconomics, marketing and political economy) as well as in social sciences (political science, sociology, health). The course will also show several applications in economics and management using the freeware software Gretl.
Program
1. Introduction and refresher
1.1 Refresher of probability
1.2 Refresher of statistics
2. Regression analysis
2.1 Simple linear regression model and statistical inference
2.2 Multiple linear regression model and statistical inference
2.3 Non-linear regression
2.4 Diagnostics: outliers, heteroskedasticity, autocorrelation, structural breaks
3. Additional topics
3.1 Regression with a binary dependent variable
3.2 Instrumental variables regression
Examination Methods
Midterm (59%) and final (50%) exam
Type D and Type F activities
Modules not yet included
Career prospects
Module/Programme news
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: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and also via the Univr app.
Graduation
List of thesis proposals
| theses proposals | Research area |
|---|---|
| Tesi di laurea - Il credit scoring | Statistics - Foundational and philosophical topics |
| La performance delle imprese che adottano politiche di Corporate Social responsibility | Various topics |
| La previsione della qualita' dei vini: Il caso dell'Amarone | Various topics |
| Proposte di tesi | Various topics |
| Tesi in Macroeconomia | Various topics |
| tesi triennali | Various topics |
Student mentoring
Linguistic training CLA
Gestione carriere
Internships
The curriculum of the three-year degree courses (CdL) and master's degree courses (CdLM) in the economics area includes an internship as a compulsory training activity. Indeed, the internship is considered an appropriate tool for acquiring professional skills and abilities and for facilitating the choice of a future professional outlet that aligns with one's expectations, aptitudes, and aspirations. The student can acquire further competencies and interpersonal skills through practical experience in a work environment.
