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 triennali Sep 19, 2016 Jan 13, 2017
secondo semestre triennali Feb 20, 2017 Jun 1, 2017
Exam sessions
Session From To
Prove intermedie primo semestre Nov 7, 2016 Nov 11, 2016
Appelli esami sessione invernale Jan 16, 2017 Feb 17, 2017
Prove intermedie secondo semestre Apr 10, 2017 Apr 13, 2017
Appelli esami sessione estiva Jun 5, 2017 Jul 7, 2017
Appelli esami sessione autunnale Aug 28, 2017 Sep 15, 2017
Degree sessions
Session From To
Sessione autunnale Nov 30, 2016 Dec 1, 2016
Sessione invernale Apr 5, 2017 Apr 7, 2017
Sessione estiva Sep 11, 2017 Sep 13, 2017
Holidays
Period From To
Vacanze natalizie Dec 23, 2016 Jan 5, 2017
Vacanze pasquali Apr 14, 2017 Apr 18, 2017
Vacanze estive Aug 7, 2017 Aug 25, 2017

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 Enrollment FAQs

Academic staff

B C D F G M O P R S T Z
BaronchelliAdelaide

Baronchelli Adelaide

symbol email adelaide.baronchelli@univr.it

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)

Carlotto Ilaria

symbol email ilaria.carlotto@univr.it symbol phone-number 045 802 8264

Castellani Paola

symbol email paola.castellani@univr.it symbol phone-number 045 802 8127

Chiarini Andrea

symbol email andrea.chiarini@univr.it symbol phone-number 045 802 8223

Cicogna Veronica

symbol email veronica.cicogna@univr.it symbol phone-number 045 802 8246

Confente Ilenia

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

Demo Edoardo

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

Durastante Paolo

symbol email paolo.durastante@univr.it symbol phone-number 0444962826

Fini Roberto

symbol email roberto.fini@univr.it

Fiorentini Riccardo

symbol email riccardo.fiorentini@univr.it symbol phone-number 0444 393934 (VI) - 045 802 8335(VR)

Fioroni Tamara

symbol email tamara.fioroni@univr.it

Gamba Simona

symbol email simona.gamba@univr.it

Giacomello Bruno

symbol email bruno.giacomello@univr.it symbol phone-number 0444 393933 (VI)

Giaretta Elisa

symbol email elisa.giaretta@univr.it symbol phone-number 0444393938

Messina Sebastiano Maurizio

symbol email sebastianomaurizio.messina@univr.it symbol phone-number 045 802 8052

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

Moggi Sara

symbol email sara.moggi@univr.it symbol phone-number 045 802 8290

Ortoleva Maria Grazia

symbol email mariagrazia.ortoleva@univr.it symbol phone-number 045 802 8052

Peretti Alberto

symbol email alberto.peretti@univr.it symbol phone-number 0444 393936 (VI) 045 802 8238 (VR)

Pertile Paolo

symbol email paolo.pertile@univr.it symbol phone-number 045 802 8438

Pilati Andrea

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

Renò Roberto

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

Ricciuti Roberto

symbol email roberto.ricciuti@univr.it symbol phone-number 0458028417

Rossi Francesca

symbol email francesca.rossi_02@univr.it symbol phone-number 045 802 8098

Rossignoli Francesca

symbol email francesca.rossignoli@univr.it symbol phone-number 0444 393941 (Ufficio Vicenza) 0458028261 (Ufficio Verona)

Sartori Fabio

symbol email fabio.sartori@univr.it

Signori Paola

symbol email paola.signori@univr.it symbol phone-number 0458028492

Tescaro Mauro

symbol email mauro.tescaro@univr.it symbol phone-number 045 8425380

Tondini Giovanni

symbol email giovanni.tondini@univr.it symbol phone-number Verona: 045 8425449, Vicenza: 0444 393930

Trabucchi Giuseppe

symbol email giuseppe.trabucchi@univr.it

Zago Angelo

symbol email angelo.zago@univr.it symbol phone-number 045 802 8414

Zoli Claudio

symbol email claudio.zoli@univr.it symbol phone-number 045 802 8479

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

ModulesCreditsTAFSSD
9
A
IUS/01
6
B
IUS/09
9
A
SECS-P/01
9
A
SECS-S/06

2° Year  activated in the A.Y. 2017/2018

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. 2018/2019

ModulesCreditsTAFSSD
6
B
IUS/07
9
B
SECS-P/02
9
C
SECS-P/12
Prova finale
3
E
-
ModulesCreditsTAFSSD
9
A
IUS/01
6
B
IUS/09
9
A
SECS-P/01
9
A
SECS-S/06
activated in the A.Y. 2017/2018
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. 2018/2019
ModulesCreditsTAFSSD
6
B
IUS/07
9
B
SECS-P/02
9
C
SECS-P/12
Prova finale
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

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-P/05 - ECONOMETRICS

Period

primo semestre lauree triennali dal Sep 17, 2018 al Jan 11, 2019.

Learning outcomes

The module aims to provide 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 module 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 module 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 16/30 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 alessandro.bucciol[at]univr.it within the day in which the latest exam of the academic year 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 alessandro.bucciol[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:

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 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

Student mentoring


Linguistic training CLA


Gestione carriere


Internships


Student login and resources