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 Sep 24, 2012 Dec 21, 2012
secondo semestre Feb 18, 2013 May 24, 2013

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 L M N P R S V Z

Bucciol Alessandro

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

Caracausi Andrea

symbol email andrea.caracausi@univr.it

Cipriani Giam Pietro

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

De Sinopoli Francesco

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

Levati Maria Vittoria

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

Lucietto Gianluigi

symbol email gianluigi.lucietto@univr.it
Foto,  January 18, 2011

Marquis Mel Jacob

symbol email meljacob.marquis@univr.it symbol phone-number 0458028061

Noto Sergio

symbol email sergio.noto@univr.it symbol phone-number 045 802 8008

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

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

Ricciuti Roberto

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

Roffia Paolo

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

Roventini Andrea

symbol email andrea.roventini@univr.it

Sartor Nicola

symbol email nicola.sartor@univr.it
VaonaAndrea

Vaona Andrea

symbol email andrea.vaona@univr.it symbol phone-number 045 8028537

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. 2013/2014

ModulesCreditsTAFSSD
Un insegnamento a scelta tra i seguenti:
Un insegnamento a scelta tra i seguenti:
6
B
SECS-P/11
6
B
SECS-P/08
Prova finale
15
E
-
activated in the A.Y. 2013/2014
ModulesCreditsTAFSSD
Un insegnamento a scelta tra i seguenti:
Un insegnamento a scelta tra i seguenti:
6
B
SECS-P/11
6
B
SECS-P/08
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.




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

Teaching code

4S02464

Credits

9

Language

English en

Scientific Disciplinary Sector (SSD)

SECS-P/05 - ECONOMETRICS

Period

primo semestre dal Sep 24, 2012 al Dec 21, 2012.

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 statistical 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 more advanced models suited for binary dependent variables or panel data.

Program

1) Introduction
1.1) Econometrics; cross-section, time series and panel data
1.2) Stata tutorial

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 diagnostics
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; White robust standard errors
3.3) Autocorrelation of the errors
Durbin-Watson test and Breusch-Godfrey test; Newey-West robust standard errors

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) More advanced models
5.1) Models for binary dependent variable
Linear probability model (LPM), probit and logit models; marginal effects; goodness of fit; maximum likelihood estimate
5.2) Models for panel data
Pooled effects, fixed effect and random effects; goodness of fit; comparison tests; dynamic models; pseudo-panels

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.

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.

Linguistic training CLA


Gestione carriere


Student login and resources


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


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.