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.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Academic year:
Definition of lesson periods
Period From To
primo semestre lauree triennali Sep 17, 2018 Jan 11, 2019
secondo semestre lauree triennali Feb 18, 2019 May 31, 2019
Exam sessions
Session From To
prove intermedie - sessione autunnale Nov 5, 2018 Nov 9, 2018
sessione invernale lauree triennali Jan 14, 2019 Feb 15, 2019
prove intermedie - sessione primaverile Apr 15, 2019 Apr 18, 2019
sessione estiva lauree triennali Jun 3, 2019 Jul 5, 2019
Sessione autunnale Aug 26, 2019 Sep 13, 2019
Degree sessions
Session From To
Sessione autunnale (validità a.a. 2017/18) Dec 6, 2018 Dec 7, 2018
Sessione invernale (validità a.a. 2017/18) Apr 3, 2019 Apr 5, 2019
Sessione estiva (validità a.a. 2018/19) Sep 10, 2019 Sep 11, 2019
Holidays
Period From To
Festa di Ognissanti Nov 1, 2018 Nov 1, 2018
Festa dell’Immacolata Dec 8, 2018 Dec 8, 2018
Vacanze di Natale Dec 22, 2018 Jan 6, 2019
Vacanze di Pasqua Apr 19, 2019 Apr 23, 2019
Festa della liberazione Apr 25, 2019 Apr 25, 2019
Festa del lavoro May 1, 2019 May 1, 2019
Festa del Santo Patrono - S. Zeno May 21, 2019 May 21, 2019
Attività sospese (vacanze estive) Aug 5, 2019 Aug 23, 2019

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.

Exam calendar

Should you have any doubts or questions, please check the Enrolment FAQs

Academic staff

B C D F G L M P R S

Bonfanti Angelo

symbol email angelo.bonfanti@univr.it symbol phone-number 045 802 8292

Broglia Angela

symbol email angela.broglia@univr.it symbol phone-number 045 802 8240

Brunetti Federico

symbol email federico.brunetti@univr.it symbol phone-number 045 802 8494

Bucciol Alessandro

symbol email alessandro.bucciol@univr.it symbol phone-number 045 802 8278

Cantele Silvia

symbol email silvia.cantele@univr.it symbol phone-number 045 802 8220 (VR) - 0444 393943 (VI)

Chesini Giuseppina

symbol email giusy.chesini@univr.it symbol phone-number 045 802 8495 (VR) -- 0444/393938 (VI)

Cipriani Giam Pietro

symbol email giampietro.cipriani@univr.it symbol phone-number 045 802 8271

Confente Ilenia

symbol email ilenia.confente@univr.it symbol phone-number 045 802 8174

Corbella Silvano

symbol email silvano.corbella@univr.it symbol phone-number 045 802 8217

Corsi Corrado

symbol email corrado.corsi@univr.it symbol phone-number 045 802 8452 (VR)

Demo Edoardo

symbol email edoardo.demo@univr.it symbol phone-number 045 802 8782 (VR) 0444.393930 (VI)

Ferrari Maria Luisa

symbol email marialuisa.ferrari@univr.it symbol phone-number 045 802 8532

Giaretta Elena

symbol email elena.giaretta@univr.it symbol phone-number 045 802 8051

Guiglia Giovanni

symbol email giovanni.guiglia@univr.it symbol phone-number 045 802 8225

Lubian Diego

symbol email diego.lubian@univr.it symbol phone-number 045 802 8419
Elena Manzoni,  February 4, 2020

Manzoni Elena

symbol email elena.manzoni@univr.it symbol phone-number 8783

Mariutti Gianpaolo

symbol email gianpaolo.mariutti@univr.it symbol phone-number 045 802 8241

Menon Martina

symbol email martina.menon@univr.it

Minozzo Marco

symbol email marco.minozzo@univr.it symbol phone-number 045 802 8234

Mion Giorgio

symbol email giorgio.mion@univr.it symbol phone-number 045.802 8172

Pasquariello Federica

symbol email federica.pasquariello@univr.it symbol phone-number 045 802 8233

Perali Federico

symbol email federico.perali@univr.it symbol phone-number 045 802 8486

Pilati Andrea

symbol email andrea.pilati@univr.it symbol phone-number 045 802 8444 (VR) - 0444 393938 (VI)

Pizzamiglio Maurizio

symbol email maurizio.pizzamiglio@univr.it

Renò Roberto

symbol email roberto.reno@univr.it symbol phone-number 045 802 8526

Roveda Alberto

symbol email alberto.roveda@univr.it symbol phone-number Dip. Sc. Ec. 045 802 8096 C.I.D.E. 045 8028084

Salomoni Alessandra

symbol email alessandra.salomoni@univr.it symbol phone-number 045 802 8443
profilo,  January 21, 2019

Santi Flavio

symbol email flavio.santi@univr.it symbol phone-number 045 802 8239

Sartori Fabio

symbol email fabio.sartori@univr.it

Signori Paola

symbol email paola.signori@univr.it symbol phone-number 0444 393942 (VI) 045 802 8492 (VR)

Sommacal Alessandro

symbol email alessandro.sommacal@univr.it symbol phone-number 045 802 8716

Sproviero Alice Francesca

symbol email alicefrancesca.sproviero@univr.it symbol phone-number 045 802 8216

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 enrolment year.

ModulesCreditsTAFSSD
9
A
IUS/01
6
B
IUS/09
9
A
SECS-P/01
9
A
SECS-S/06
English language (B1 level)
6
E/F
-
activated in the A.Y. 2019/2020
ModulesCreditsTAFSSD
9
A
IUS/04
9
B
SECS-P/01
9
B
SECS-P/03
9
B
SECS-S/01
activated in the A.Y. 2020/2021
ModulesCreditsTAFSSD
6
B
IUS/07
9
C
SECS-P/12
9
B
SECS-P/02
Stage
6
S
-
Final exam
3
E
-

1° Year

ModulesCreditsTAFSSD
9
A
IUS/01
6
B
IUS/09
9
A
SECS-P/01
9
A
SECS-S/06
English language (B1 level)
6
E/F
-

2° Year  activated in the A.Y. 2019/2020

ModulesCreditsTAFSSD
9
A
IUS/04
9
B
SECS-P/01
9
B
SECS-P/03
9
B
SECS-S/01

3° Year  activated in the A.Y. 2020/2021

ModulesCreditsTAFSSD
6
B
IUS/07
9
C
SECS-P/12
9
B
SECS-P/02
Stage
6
S
-
Final exam
3
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°

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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S02453

Coordinatore

Diego Lubian

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-P/05 - ECONOMETRICS

Period

primo semestre (lauree) dal Sep 28, 2020 al Dec 23, 2020.

Learning outcomes

The course provides the main econometric tools to develop, based on the available data, an empirical analysis on the relationship between economic variables and to correctly interpret and use the results obtained. In fact, many economic decisions require quantitative answers to quantitative questions, and decisions based on empirical evidence are generally considered more helpful and effective.
The course uses a scientific language based on deductive reasoning. Technical aspects of econometrics, however, will be introduced only when necessary, whereas key attention will be given to the development of an intuitive comprehension of the material, in such a way to allow for an effective and creative use of the acquired knowledge.
At the end of the course the student is expected to (a) have critical skills with respect to empirical applications made by others and (b) be able to autonomously set up and run empirical analyses in the broad areas of economics and finance.

Program

1. INTRODUCTION (Stock-Watson, ch.2-3)
1.1. What is econometrics?
1.2. Probability
1.3. Statistics

2. REGRESSION ANALYSIS (Stock-Watson, ch.4-9)
2.1. Linear regressione with a single regressor and hypothesis testing
2.2. Linear regression with multiple regressions and hypothesis testing
2.3. Diagnostics of the regression model: specification, heteroskedasticity, autocorrelation

3. EXTENSIONS (Stock-Watson, ch.11-12)
3.1. Regression with instrumental variables
3.2. Regression with binary dependent variable

Reference texts
Author Title Publishing house Year ISBN Notes
James H. Stock, Mark W. Watson Introduzione all'econometria (Edizione 4) Pearson Education Italia 2016 978-8-891-90124-8

Examination Methods

The exam is made of one written essay and one individual homework; the final grade is given by the average of the grades in the essay and the homework, with 75% and 25% weights respectively. In order to pass the exam, it is necessary to obtain a grade not below 18/30 in the written essay.
The written essay is taken in a teaching room, lasts two hours and covers the whole program of the module. It is possible to use a calculator, but neither notes nor other teaching material. It is possible to split the essay in two parts, with each covering about half program. The grade of the essay is given by the simple average of the grades in the two parts. The first-part essay (90 minutes long) is planned in the week devoted to intermediate exams, while the second-part essay (60 minutes long) will be held together with the "primo appello" in January. Students are admitted to the second-part essay provided that their grade in the first-part exam is not lower than 16/30.
The homework is developed individually outside the teaching rooms, and can be of two types (Homework I and Homework II). Each student can choose which type of homework to deliver, but must deliver one of them. Once the deadline for delivery of Homework II has expired, it is possible to deliver Homework I only. The homework grade remains valid throughout the academic year.

Homework I
The homework aims to develop critical skills with respect to empirical applications. Each student is free to choose one article from www.lavoce.info, www.voxeu.org/, www.ilsole24ore.com or other webiste, provided that it discusses an economic topic and makes use of data.
The homework consists in an essay of max. 2000 words, to be delivered to the address diego.lubian[at]univr.it within the day in which the exam is scheduled. The homework will pass through an antiplagiarism analysis by means of the Compilation software; it is advisable to make a personal preliminary analysis before submitting the homework.
The essay must be divided in sections in such a way to contain a) a reference to the chosen article (title, authors, link), b) a summary of the article, briefly describing its motivation, goal, methodology and results, and c) a critical comment on the methodology, also proposing alternative analyses and possible future developments. The essay must also report the word count.

Homework II
The homework aims to develop analytical skills through personal data analysis in Gretl. Any student interested in this homework must write to the address diego.lubian[at]univr.it communicating name, surname and ID number. He or she will then receive a number, corresponding to the dataset to be used. The text of the homework will be made available at the end of the lectures; the solution must be delivered by email within the following three days.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Type D and Type F activities

Academic year:
List of courses with unassigned period
years Modules TAF Teacher
SFIDE - Europe D Claudio Zoli (Coordinatore)
1° 2° 3° Advanced risk and portfolio management bootcamp (online) (3 cfu) D Roberto Renò (Coordinatore)
1° 2° 3° Advanced risk and portfolio management bootcamp (onsite) (6 cfu) D Roberto Renò (Coordinatore)
1° 2° 3° Convegno "gli scambi commerciali con l'estero: questioni fiscali, doganali e contrattuali" D Sebastiano Maurizio Messina (Coordinatore)
1° 2° 3° Ineka conference 2019 teamworking membership D Federico Brunetti (Coordinatore)
1° 2° 3° Data Visualization Laboratory D Marco Minozzo (Coordinatore)
1° 2° 3° Python Laboratory D Marco Minozzo (Coordinatore)
1° 2° 3° Advanced Excel Laboratory (Verona) D Marco Minozzo (Coordinatore)
1° 2° 3° Excel Laboratory (Verona) D Marco Minozzo (Coordinatore)
1° 2° 3° "le grandi trasformazioni degli anni '60-'70 e l'italia cinquant'anni dopo" D Angelo Zago (Coordinatore)
1° 2° 3° Social responsibility model for the restaurants' ecosystems D Silvia Cantele (Coordinatore)
1° 2° 3° Marketing Plan D Ilenia Confente (Coordinatore)
1° 2° 3° Polis - festival biblico in universita' D Giorgio Mion (Coordinatore)
1° 2° 3° Quality and problem solving in business organizations D Paola Castellani (Coordinatore)
1° 2° 3° La competitività regionale e le sue risorse endogene: il concetto di capitale territoriale D Riccardo Fiorentini (Coordinatore)
1° 2° 3° Soft skills in action D Paola Signori (Coordinatore)

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 soon also via the Univr app.

Graduation

List of theses and work experience 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

Internships


Student mentoring


Linguistic training CLA


Gestione carriere


Student login and resources