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 magistrali Sep 30, 2019 Dec 20, 2019
secondo semestre magistrali Feb 24, 2020 May 29, 2020
Exam sessions
Session From To
Sessione invernale magistrali Jan 7, 2020 Feb 21, 2020
Sessione estiva magistrali Jun 3, 2020 Jul 10, 2020
Autumn Session exams Aug 24, 2020 Sep 11, 2020
Degree sessions
Session From To
Autumn Session Dec 2, 2019 Dec 4, 2019
Winter Session Apr 7, 2020 Apr 9, 2020
Summer session Sep 7, 2020 Sep 9, 2020

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 G L M P R S V Z

Bazzani Claudia

symbol email claudia.bazzani@univr.it symbol phone-number 0458028734

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

Campolmi Alessia

symbol email alessia.campolmi@univr.it symbol phone-number 045 802 8071

Chesini Giuseppina

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

Ciampi Annalisa

symbol email annalisa.ciampi@univr.it symbol phone-number 045 802 8061

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

De Sinopoli Francesco

symbol email francesco.desinopoli@univr.it symbol phone-number 045 842 5450

Gaudenzi Barbara

symbol email barbara.gaudenzi@univr.it symbol phone-number 045 802 8623

Levati Maria Vittoria

symbol email vittoria.levati@univr.it symbol phone-number 045 802 8640

Menon Martina

symbol email martina.menon@univr.it symbol phone-number 045 8028420

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

Pellegrini Letizia

symbol email letizia.pellegrini@univr.it symbol phone-number 045 802 8345

Perali Federico

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

Pertile Paolo

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

Picarelli Athena

symbol email athena.picarelli@univr.it symbol phone-number 045 8028242

Roffia Paolo

symbol email paolo.roffia@univr.it symbol phone-number 045 802 8012

Signori Paola

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

Sommacal Alessandro

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

Veronesi Marcella

symbol email marcella.veronesi@univr.it

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.

2° Year  activated in the A.Y. 2020/2021

ModulesCreditsTAFSSD
2 courses to be chosen among the following
2 courses to be chosen among the following
6
B
SECS-P/11
6
B
SECS-P/08
Final exam
15
E
-
activated in the A.Y. 2020/2021
ModulesCreditsTAFSSD
2 courses to be chosen among the following
2 courses to be chosen among the following
6
B
SECS-P/11
6
B
SECS-P/08
Final exam
15
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°

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

Type D and Type F activities

Nei piani didattici di ciascun Corso di studio è previsto l’obbligo di conseguire un certo numero di crediti formativi mediante attività a scelta (chiamate anche "di tipologia D e F").

Oltre che in insegnamenti previsti nei piani didattici di altri corsi di studio e in certificazioni linguistiche o informatiche secondo quanto specificato nei regolamenti di ciascun corso, tali attività possono consistere anche in iniziative extracurriculari di contenuto vario, quali ad esempio la partecipazione a un seminario o a un ciclo di seminari, la frequenza di laboratori didattici, lo svolgimento di project work, stage aggiuntivo, eccetera.

Come per ogni altra attività a scelta, è necessario che anche queste non costituiscano un duplicato di conoscenze e competenze già acquisite dallo studente.

Quelle elencate in questa pagina sono le iniziative extracurriculari che sono state approvate dal Consiglio della Scuola di Economia e Management e quindi consentono a chi vi partecipa l'acquisizione dei CFU specificati, alle condizioni riportate nelle pagine di dettaglio di ciascuna iniziativa.

Si ricorda in proposito che:
- tutte queste iniziative richiedono, per l'acquisizione dei relativi CFU, il superamento di una prova di verifica delle competenze acquisite, secondo le indicazioni contenute nella sezione "Modalità d'esame" della singola attività;
- lo studente è tenuto a inserire nel proprio piano degli studi l'attività prescelta e a iscriversi all'appello appositamente creato per la verbalizzazione, la cui data viene stabilita dal docente di riferimento e pubblicata nella sezione "Modalità d'esame" della singola attività.

ATTENZIONE: Per essere ammessi a sostenere una qualsiasi attività didattica, inlcuse quelle a scelta, è necessario essere iscritti all'anno di corso in cui essa viene offerta. Si raccomanda, pertanto, ai laureandi delle sessioni di dicembre e aprile di NON svolgere attività extracurriculari del nuovo anno accademico, cui loro non risultano iscritti, essendo tali sessioni di laurea con validità riferita all'anno accademico precedente. Quindi, per attività svolte in un anno accademico cui non si è iscritti, non si potrà dar luogo a riconoscimento di CFU.

Documents and news

Academic year:
Second semester bachelor degree From 2/17/20 To 6/5/20
years Modules TAF Teacher
1° 2° Enactus Verona 2020 D Paola Signori (Coordinator)
1° 2° Parlare in pubblico e economic writing D Martina Menon (Coordinator)
1° 2° Samsung Innovation Camp D Marco Minozzo (Coordinator)
1° 2° Simulation and Implementation of Economic Policies D Federico Perali (Coordinator)
secondo semestre magistrali From 2/24/20 To 5/29/20
years Modules TAF Teacher
1° 2° Predictive analytics for business decisions - 2019/20 D Claudio Zoli (Coordinator)
1° 2° Professional communication for economics - 2019/20 D Claudio Zoli (Coordinator)
1° 2° Parlare in pubblico e economic writing D Martina Menon (Coordinator)
1° 2° Regulation, procurement and competition - 2019/20 D Claudio Zoli (Coordinator)
1° 2° Simulation and Implementation of Economic Policies D Federico Perali (Coordinator)
List of courses with unassigned period
years Modules TAF Teacher
1° 2° Data discovery for business decisions D Claudio Zoli (Coordinator)
1° 2° Elements of financial risk management D Claudio Zoli (Coordinator)
1° 2° English for business and economics D Claudio Zoli (Coordinator)
1° 2° Il Futuro Conta! D Alessandro Bucciol (Coordinator)
1° 2° Il Futuro Conta! D Alessandro Bucciol (Coordinator)
1° 2° Introduction to business plan D Paolo Roffia (Coordinator)
1° 2° Data Analysis Laboratory with R D Marco Minozzo (Coordinator)
1° 2° Data Analysis Laboratory with R (Verona) D Marco Minozzo (Coordinator)
1° 2° Data Visualization Laboratory D Marco Minozzo (Coordinator)
1° 2° Python Laboratory D Marco Minozzo (Coordinator)
1° 2° Data Science Laboratory with SAP D Marco Minozzo (Coordinator)
1° 2° Advanced Excel Laboratory (Verona) D Marco Minozzo (Coordinator)
1° 2° Excel Laboratory (Verona) D Marco Minozzo (Coordinator)
1° 2° The fashion lab (1 ECTS) D Angela Broglia (Coordinator)
1° 2° The fashion lab (2 ECTS) D Angela Broglia (Coordinator)
1° 2° The fashion lab (3 ECTS) D Angela Broglia (Coordinator)
1° 2° Methods and tools to support strategic marketing and business management decisions - 2019 D Claudia Bazzani (Coordinator)
1° 2° Marketing Plan D Ilenia Confente (Coordinator)
1° 2° Presente e futuro del pianeta D Federico Brunetti (Coordinator)
1° 2° Programming in Matlab D Marco Minozzo (Coordinator)
1° 2° Programming in SAS D Marco Minozzo (Coordinator)
1° 2° Robo-Ethics D Giorgio Mion (Coordinator)
1° 2° Topics in applied economics and finance D Claudio Zoli (Coordinator)
1° 2° Univero' - Job Orienteering festival D Paola Signori (Coordinator)

Teaching code

4S02464

Credits

9

Language

English en

Scientific Disciplinary Sector (SSD)

SECS-P/05 - ECONOMETRICS

Period

primo semestre magistrali dal Sep 30, 2019 al Dec 20, 2019.

Learning outcomes

The course provides an overview of the main econometric tools, with particular emphasis on economic applications, developed interactively in the computer laboratory using the professional software Stata™. The program covers standard econometric models (OLS regression and its diagnostics) as well as more advanced models for the analysis of cross-sectional, time series and panel data (IV, probit, tobit, random and fixed effects). Particular attention will be given to the intuition behind each topic, in addition to more formal issues. Towards the end of the course a voluntary assignment will be proposed, with the aim of translating research questions into empirical analyses, applying on real data the tools learnt in class, and stimulating discussion among students. At the end of the course, students should be able to: i) read and critically interpret empirical works developed by other researchers, ii) manage small and large datasets in order to extract useful information, and iii) design and implement on their own empirical analyses based on real data.

Program

1) Introduction
1.1) What is Econometrics?
Definition; cross-section, time series and panel data.
1.2) Stata tutorial
Data management; basic statistics; graphics.

2) Ordinary Least Squares (OLS) Estimator
2.1) Introduction
Univariate and multivariate regression; marginal effects and elasticity; R-squared and adjusted R-squared; outliers.
2.2) Properties
Gauss-Markov assumptions; unbiasedness; efficiency; consistency; asymptotic normality.
2.3) Testing
t-test on one restriction; F test on several restrictions.

3) OLS Diagnostics
3.1) Specification
Collinearity; superfluous and omitted variables; RESET test of specification; Chow test of structural stability.
3.2) Heteroskedasticity
White test and Breusch-Pagan test; White robust standard errors.

4) Instrumental Variable (IV) Estimator
4.1) Estimator
Assumptions; Simple instrumental variable (SIV) and generalized instrumental variable (GIV); properties; two-stage derivation (2SLS).
4.2) Instrument selection
Relevance test; weak instruments; Sargan validity test; Hausman exogeneity test.

5) Limited Dependent Variable (LDV)
5.1) Binary dependent variable
Linear probability model (LPM); probit and logit models; marginal effects; maximum likelihood estimate; goodness of fit; hypothesis testing.
5.2) Truncated and censored data
Truncated regression; tobit-I model; tobit-II and heckman model; marginal effects; goodness of fit.

6) Different Types of Data
6.1) Time series
AR, MA and ARMA processes; Durbin-Watson test and Breusch-Godfrey test; Newey-West robust standard errors; unit root; cointegration.
6.2) Panel data
Pooled effects, fixed effects and random effects; goodness of fit; comparison tests.

Lecture method: frontal teaching

Reference texts
Author Title Publishing house Year ISBN Notes
Marno Verbeek A Guide to Modern Econometrics (Edizione 4) John Wiley and Sons 2012 978-1-119-95167-4

Examination Methods

The exam is written; no oral integration is possible.
The final grade is based on one mandatory final exam and one voluntary homework. The final exam includes theoretical, numerical and applied exercises on the topics covered in class; the homework (assigned during the semester) includes applied exercises only. The applied exercise requires the use of the software Stata. During the final exam the use of handheld calculators is allowed, but not the one of textbooks or teaching notes.
The homework adds 1 bonus point to the final grade and accounts for 10% of the final grade. The homework grade and bonus expires after the winter session of exams.

During the summer session the exam is held remotely and takes the form of an oral examination of 20-30 minutes. During the examination, students will be asked to answer exam-style exercises. Nothing about Stata will be asked.

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

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.

Linguistic training CLA


Gestione carriere


Student login and resources


Graduation

List of thesis proposals

theses proposals Research area
La (cattiva) gestione dei fondi comunitari in Italia ECONOMICS - ECONOMICS
PMI (SMES) and financial performance MANAGEMENT OF ENTERPRISES - MANAGEMENT OF ENTERPRISES
Analisi dell'Impatto della Regolamentazione: potenziale e applicazioni concrete Various topics
Costs and benefits of the new Turin-Lyon railway line Various topics
Costs and benefits of new systems for speed control on italian motorways Various topics
Contingent valuation for the quality of hospital characteristics Various topics
Evaluating occupational impacts of large investment projects Various topics

Internships


Admission policy

ADMISSION POLICY

The admission procedure for international students is explained in details at:
www.magecverona.it/admission-benefits/
For further information please contact magec@dse.univr.it


Additional information

 

Additional information

For further information visit the program website, http://magec.dse.univr.it, or send an email at magec@dse.univr.it.