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 28, 2015 Jan 8, 2016
Secondo Semestre Magistrali Feb 22, 2016 Jun 1, 2016
Exam sessions
Session From To
appelli sessione invernale Jan 11, 2016 Feb 13, 2016
appelli sessione estiva Jun 6, 2016 Jul 9, 2016
Appelli sessione autunnale Aug 29, 2016 Sep 16, 2016
Degree sessions
Session From To
sessione autunnale Dec 11, 2015 Dec 18, 2015
sessione invernale Apr 6, 2016 Apr 8, 2016
sessione estiva Sep 13, 2016 Sep 14, 2016
Holidays
Period From To
vacanze natalizie Dec 23, 2015 Jan 5, 2016
vacanze pasquali Mar 25, 2016 Mar 29, 2016
vacanze estive Aug 8, 2016 Aug 27, 2016

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 P R S Z

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

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

Lubian Diego

symbol email diego.lubian@univr.it symbol phone-number 045 802 8419

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

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

Sartor Nicola

symbol email nicola.sartor@univr.it

Sommacal Alessandro

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

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 enrolment year.

activated in the A.Y. 2016/2017
ModulesCreditsTAFSSD
Two courses to be chosen among the following
6
B
SECS-P/11
6
B
SECS-P/08
Two courses to be chosen among the following
Prova finale
15
E
-

2° Year activated in the A.Y. 2016/2017

ModulesCreditsTAFSSD
Two courses to be chosen among the following
6
B
SECS-P/11
6
B
SECS-P/08
Two courses to be chosen among the following
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.




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 28, 2015 al Jan 8, 2016.

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.
Example: House prices
2.2) Goodness of fit
R2, adjusted R2, AIC and BIC criteria; forecast; outliers.
Example: Forecasting stock returns
2.3) Properties
Gauss-Markov assumptions; unbiasedness; efficiency; consistency; asymptotic normality.
2.4) Testing
t-test on one restriction; F test on several restrictions.
Example: Capital asset pricing model

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.
Example: Risk profile
3.3) Autocorrelation
Durbin-Watson test and Breusch-Godfrey test; Newey-West robust standard errors.
Example: Ice cream consumption

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).
Example: Women wage function
4.3) Instrument selection
Relevance test; weak instruments; Sargan validity test; Hausman exogeneity test.
Example: Returns to schooling

5) Extensions (Microeconometrics)
5.1) Panel data
Pooled effects, fixed effects and random effects; goodness of fit; comparison tests.
Example: Waste sorting
5.2) Binary dependent variable
Linear probability model (LPM); probit and logit models; marginal effects; maximum likelihood estimate; goodness of fit; hypothesis testing.
Example: Bus tickets
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.

Examination Methods

The exam is written. The final grade is based on one mandatory final exam and one voluntary homework (assigned in the middle of the semester).
The final exam includes theoretical, numerical and applied exercises on all the topics covered in class; the homework includes theoretical and applied exercises on the topics covered in the first half of the class meetings. 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.

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.

Student login and resources


Internships


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

Linguistic training CLA


Gestione carriere


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.