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. 2011/2012

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
First semester Sep 26, 2011 Dec 22, 2011
Second semester Feb 27, 2012 May 25, 2012
Exam sessions
Session From To
attività formative a scelta Jan 1, 2012 Dec 31, 2011
Sessione invernale Jan 9, 2012 Feb 24, 2012
Sessione estiva May 28, 2012 Jul 6, 2012
Sessione autunnale Aug 27, 2012 Sep 21, 2012

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 N P R S V Z

Bucciol Alessandro

alessandro.bucciol@univr.it 045 802 8278

Centanni Silvia

silvia.centanni@univr.it 045 8425460

Chesini Giuseppina

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

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

Marquis Mel Jacob

meljacob.marquis@univr.it 0458028061

Noto Sergio

elefante@univr.it 045 802 8008

Peluso Eugenio

eugenio.peluso@univr.it 045 8028104

Perali Federico

federico.perali@univr.it 045 802 8486

Peretti Alberto

alberto.peretti@univr.it 0444 393936 (VI) 045 802 8238 (VR)

Pertile Paolo

paolo.pertile@univr.it 045 802 8438

Ricciuti Roberto

roberto.ricciuti@univr.it 0458028417

Roffia Paolo

paolo.roffia@univr.it 045 802 8012

Sartor Nicola

nicola.sartor@univr.it 0458028508

Vaona Andrea

andrea.vaona@univr.it 045 8028537

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
Un insegnamento a scelta tra i seguenti:
6
B
(SECS-P/11)
6
B
(SECS-P/08)
Un insegnamento a scelta tra i seguenti:
9
C
(SECS-P/02)
Prova finale
15
E
(-)

2° Year

ModulesCreditsTAFSSD
Un insegnamento a scelta tra i seguenti:
6
B
(SECS-P/11)
6
B
(SECS-P/08)
Un insegnamento a scelta tra i seguenti:
9
C
(SECS-P/02)
Prova finale
15
E
(-)

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

First semester dal Sep 26, 2011 al Dec 22, 2011.

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™.
The program is divided in four parts. The first part shows the standard econometric method (ordinary least squares regression, OLS), its properties, and statistical tests. The second part discusses the main limitations of OLS: wrong specification of the functional form, heteroskedasticity and autocorrelation. The third part introduces the problem of endogeneity and the instrumental variables (IV) estimators. The final part presents models suited for limited dependent variables (LDV): probit models, poisson models.

Program

1) Introduction
Econometrics; cross-section data and time series

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) Hypothesis testing
t-test on one restriction; F test on several restrictions

3) OLS failures
3.1) Specification and functional form
Collinearity; superfluous and omitted variables; RESET test of specification; Chow test of structural stability
3.2) Heteroskedasticity of the errors
White test and Breusch-Pagan test; possible remedies: specification change, White robust standard errors, weighted least squares (WLS)
3.3) Autocorrelation of the errors
Durbin-Watson test and Breusch-Godfrey test; possible remedies: specification change, Newey-West robust standard errors, generalized least squares (GLS)

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

5) Models for limited dependent variable (LDV)
5.1) Models for binary dependent variable
Linear probability model (LPM), probit and logit models; marginal effects; goodness of fit; maximum likelihood estimate; hypothesis testing; ordered probit
5.2) Models for count data
Poisson regression; over-dispersion tests; negative binomial regression; marginal effects

Bibliography

Reference texts
Author Title Publishing house Year ISBN Notes
Verbeek, M. A Guide to Modern Econometrics Wiley 2000

Examination Methods

The exam is written, and it includes both theoretical, numerical and applied exercises on the topics covered in class.
During the course it is possible to submit up to two voluntary homeworks on specific parts of the program. These homeworks will contribute to the final grade.

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.

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.