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 |
|---|---|---|
| I sem. | Oct 3, 2016 | Jan 31, 2017 |
| II sem. | Mar 1, 2017 | Jun 9, 2017 |
| Session | From | To |
|---|---|---|
| Sessione invernale Appelli d'esame | Feb 1, 2017 | Feb 28, 2017 |
| Sessione estiva Appelli d'esame | Jun 12, 2017 | Jul 31, 2017 |
| Sessione autunnale Appelli d'esame | Sep 1, 2017 | Sep 29, 2017 |
| Session | From | To |
|---|---|---|
| Sessione estiva Appelli di Laurea | Jul 20, 2017 | Jul 20, 2017 |
| Sessione autunnale Appelli di laurea | Nov 23, 2017 | Nov 23, 2017 |
| Sessione invernale Appelli di laurea | Mar 22, 2018 | Mar 22, 2018 |
| Period | From | To |
|---|---|---|
| Festa di Ognissanti | Nov 1, 2016 | Nov 1, 2016 |
| Festa dell'Immacolata Concezione | Dec 8, 2016 | Dec 8, 2016 |
| Vacanze di Natale | Dec 23, 2016 | Jan 8, 2017 |
| Vacanze di Pasqua | Apr 14, 2017 | Apr 18, 2017 |
| Anniversario della Liberazione | Apr 25, 2017 | Apr 25, 2017 |
| Festa del Lavoro | May 1, 2017 | May 1, 2017 |
| Festa della Repubblica | Jun 2, 2017 | Jun 2, 2017 |
| Vacanze estive | Aug 8, 2017 | Aug 20, 2017 |
Exam calendar
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.
Should you have any doubts or questions, please check the Enrollment FAQs
Academic staff
alberto.benvegnu@univr.it
leonardpeter.bos@univr.it
maurizio.boscaini@univr.it
federico.busato@univr.it
Cordoni Francesco Giuseppe
francescogiuseppe.cordoni@univr.it
Magazzini Laura
laura.magazzini@univr.it
045 8028525
gino.mariotto@univr.it
Zini Giovanni
Zoppello Marta
simone.zuccher@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. 2017/2018
| Modules | Credits | TAF | SSD |
|---|
3° Year activated in the A.Y. 2018/2019
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| 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.
Econometrics (2018/2019)
Teaching code
4S01951
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-P/05 - ECONOMETRICS
Period
I semestre dal Oct 1, 2018 al Jan 31, 2019.
Learning outcomes
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.
Program
1. Introduction
- 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
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| R. Carter Hill, William E. Griffiths, Guay C. Lim | Principi di econometria | Zanichelli | 2013 | 9788808175304 |
Examination Methods
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
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.
Homework II
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
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
Documents
| Title | Info File |
|---|---|
1. Come scrivere una tesi
|
pdf, it, 31 KB, 29/07/21 |
|
2. How to write a thesis
|
pdf, it, 31 KB, 29/07/21 |
|
5. Regolamento tesi
|
pdf, it, 171 KB, 20/03/24 |
List of thesis proposals
| theses proposals | Research area |
|---|---|
| Formule di rappresentazione per gradienti generalizzati | Mathematics - Analysis |
| Formule di rappresentazione per gradienti generalizzati | Mathematics - Mathematics |
| Proposte Tesi A. Gnoatto | Various topics |
| Mathematics Bachelor and Master thesis titles | Various topics |
Attendance modes and venues
As stated in the Teaching Regulations , 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.
Part-time enrolment is permitted. Find out more on the Part-time enrolment possibilities page.
The course's teaching activities take place in the Science and Engineering area, which consists of the buildings of Ca‘ Vignal 1, Ca’ Vignal 2, Ca' Vignal 3 and Piramide, located in the Borgo Roma campus.
Lectures are held in the classrooms of Ca‘ Vignal 1, Ca’ Vignal 2 and Ca' Vignal 3, while practical exercises take place in the teaching laboratories dedicated to the various activities.
Career management
Student login and resources
Erasmus+ and other experiences abroad
Ongoing orientation for students
The committee has the task of guiding the students throughout their studies, guiding them in their choice of educational pathways, making them active participants in the educational process and helping to overcome any individual difficulties.
It is composed of professors Lidia Angeleri, Sisto Baldo, Marco Caliari, Paolo dai Pra, Francesca Mantese, and Nicola Sansonetto
To send an email to professors: name.surname@univr.it
