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.

A.A. 2016/2017

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 26, 2016 Jan 13, 2017
Secondo Semestre Magistrali Feb 27, 2017 Jun 1, 2017
Exam sessions
Session From To
Appelli esami sessione invernale Jan 16, 2017 Feb 17, 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 Enrolment FAQs

Academic staff

B C D G L M P R S V Z

Bucciol Alessandro

alessandro.bucciol@univr.it 045 802 8278

Campolmi Alessia

alessia.campolmi@univr.it 045 802 8071

Chesini Giuseppina

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

Ciampi Annalisa

annalisa.ciampi@univr.it 045 802 8061

Cipriani Giam Pietro

giampietro.cipriani@univr.it 045 802 8271

De Sinopoli Francesco

francesco.desinopoli@univr.it 045 842 5450

Gaudenzi Barbara

barbara.gaudenzi@univr.it 045 802 8623

Levati Maria Vittoria

vittoria.levati@univr.it 045 802 8640

Menon Martina

martina.menon@univr.it 045 802 8420

Minozzo Marco

marco.minozzo@univr.it 045 802 8234

Pellegrini Letizia

letizia.pellegrini@univr.it 045 802 8345

Perali Federico

federico.perali@univr.it 045 802 8486

Pertile Paolo

paolo.pertile@univr.it 045 802 8438

Roffia Paolo

paolo.roffia@univr.it 045 802 8012

Sommacal Alessandro

alessandro.sommacal@univr.it 045 802 8716

Veronesi Marcella

marcella.veronesi@univr.it 045 802 8025

Zoli Claudio

claudio.zoli@univr.it 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 enrolment year.

ModulesCreditsTAFSSD
2 modules to be chosen from the following
2 modules to be chosen from the following
6
B
(SECS-P/11)
6
B
(SECS-P/08)
Prova finale
15
E
(-)

1° Year

ModulesCreditsTAFSSD
9
B
(SECS-P/05)
3
F
(-)

2° Year

ModulesCreditsTAFSSD
2 modules to be chosen from the following
2 modules to be chosen from the following
6
B
(SECS-P/11)
6
B
(SECS-P/08)
Prova finale
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.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S02464

Credits

9

Scientific Disciplinary Sector (SSD)

SECS-P/05 - ECONOMETRICS

Language

English en

Period

Primo semestre Magistrali dal Sep 26, 2016 al Jan 13, 2017.

Learning outcomes

The course provides an overview of the main econometric tools, with particular emphasis on economic applications, developed interactively in class using the professional software Stata™.
After a short introduction on the purpose of Econometrics and the basic commands in Stata, the program is divided in four parts. The first part (OLS) introduces to the standard econometric method, i.e., ordinary least squares (OLS) regression. The second part (OLS diagnostics) presents diagnostic tests on heteroskedasticity, autocorrelation and wrong specification of the functional form. The third part (IV) discusses the problem of endogeneity and the instrumental variable estimators. The fourth part (extensions) introduces micro-econometric models suited for panel data (random effects, fixed effects), for binary dependent variables (probit, logit), and for limited dependent variables (truncated regression, tobit).

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.
2.2) Goodness of fit
R2, adjusted R2, AIC and BIC criteria; forecast; outliers.
2.3) Properties
Gauss-Markov assumptions; unbiasedness; efficiency; consistency; asymptotic normality.
2.4) 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) Heteroscedasticity
White test and Breusch-Pagan test; White robust standard errors.
3.3) Autocorrelation
Durbin-Watson test and Breusch-Godfrey test; Newey-West robust standard errors.

4) Instrumental Variable (IV) Estimator
4.1) Motivation
Autocorrelation and lagged dependent variable; measurement error; omitted variables; simultaneity.
4.2) Estimator
Assumptions; Simple instrumental variable (SIV) and generalized instrumental variable (GIV); properties; two-stage derivation (2SLS).
4.3) Instrument selection
Relevance test; weak instruments; Sargan validity test; Hausman exogeneity test.

5) Extensions (Microeconometrics)
5.1) Panel data
Pooled effects, fixed effects and random effects; goodness of fit; comparison tests.
5.2) Binary dependent variable
Linear probability model (LPM); probit and logit models; marginal effects; maximum likelihood estimate; goodness of fit; hypothesis testing.
5.3) Limited dependent variable
Truncated regression; Tobit models; marginal effects; hypothesis testing.

Suggested material:
- Course slides, available on eLearning.
- Verbeek, M., A Guide to Modern Econometrics, Wiley, 2000 or following editions.

Bibliography

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. The final grade is based on one mandatory final exam and one voluntary homework (assigned during the semester).
The final exam includes theoretical, numerical and applied exercises on all the topics covered in class; the homework includes applied exercises. Applied exercises require the use of Stata.
During the final exam it will be allowed the use of handheld calculators, but not the use of textbooks or teaching notes.
The homework adds 1 bonus point to the final grade and accounts for 10% of the final grade.

Type D and Type F activities

Academic year:
List of courses with unassigned period
years Modules TAF Teacher
1° 2° Advanced Excel Laboratory (Verona) D Marco Minozzo (Coordinatore)
1° 2° Excel Laboratory (Verona) D Marco Minozzo (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.

Area riservata studenti


Gestione carriere


Graduation

List of theses and work experience proposals

theses proposals Research area
La (cattiva) gestione dei fondi comunitari in Italia ECONOMICS - ECONOMICS
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


Linguistic training CLA


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.

 


Further services

I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.