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.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
Period | From | To |
---|---|---|
Primo Semestre Magistrali | Oct 2, 2017 | Dec 22, 2017 |
Secondo Semestre Magistrali | Feb 26, 2018 | May 25, 2018 |
Session | From | To |
---|---|---|
Esami sessione invernale Magistrali | Jan 8, 2018 | Feb 23, 2018 |
Esami sessione estiva Magistrali | May 28, 2018 | Jul 6, 2018 |
Esami sessione autunnale 2018 | Aug 27, 2018 | Sep 14, 2018 |
Session | From | To |
---|---|---|
Lauree sessione autunnale (validità a.a. 2016/17) | Nov 27, 2017 | Nov 28, 2017 |
Lauree sessione invernale (validità a.a. 2016/17) | Apr 4, 2018 | Apr 6, 2018 |
Lauree sessione estiva (validità a.a. 2017/18) | Sep 10, 2018 | Sep 11, 2018 |
Period | From | To |
---|---|---|
All Saints Day | Nov 1, 2017 | Nov 1, 2017 |
Festa Immacolata Concezione | Dec 8, 2017 | Dec 8, 2017 |
attività sospese (Natale) | Dec 23, 2017 | Jan 7, 2018 |
Easter break | Mar 30, 2018 | Apr 3, 2018 |
Liberation Day | Apr 25, 2018 | Apr 25, 2018 |
attività sospese (Festa dei lavoratori) | Apr 30, 2018 | Apr 30, 2018 |
Labour Day | May 1, 2018 | May 1, 2018 |
Festa Patronale | May 21, 2018 | May 21, 2018 |
attività sospese estive | Aug 6, 2018 | Aug 24, 2018 |
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.
Academic staff
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.
1° Year
Modules | Credits | TAF | SSD |
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2° Year activated in the A.Y. 2018/2019
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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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.
Econometrics (2017/2018)
Teaching code
4S02464
Teacher
Coordinator
Credits
9
Language
English
Scientific Disciplinary Sector (SSD)
SECS-P/05 - ECONOMETRICS
Period
Primo Semestre Magistrali dal Oct 2, 2017 al Dec 22, 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.
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
years | Modules | TAF | Teacher |
---|---|---|---|
1° | Business plan | D |
Paolo Roffia
(Coordinator)
|
years | Modules | TAF | Teacher | |
---|---|---|---|---|
1° | English for business and economics | D |
Claudio Zoli
(Coordinator)
|
|
1° | An Introduction to the History of Economics and Business Economics | D |
Sergio Noto
(Coordinator)
|
|
1° | Introduction to dynamic optimization with economic applications | D |
Claudio Zoli
(Coordinator)
|
|
1° | Programming in Matlab | D | Not yet assigned | |
1° | Programming in SAS | D | Not yet assigned | |
1° | Programming Stata (3 cfu) | D | Not yet assigned | |
1° 2° | Python Laboratory | D |
Marco Minozzo
(Coordinator)
|
|
1° 2° | Advanced Excel Laboratory (Verona) | D |
Marco Minozzo
(Coordinator)
|
|
1° 2° | Excel Laboratory (Verona) | D |
Marco Minozzo
(Coordinator)
|
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
The curriculum of the three-year degree courses (CdL) and master's degree courses (CdLM) in the economics area includes an internship as a compulsory training activity. Indeed, the internship is considered an appropriate tool for acquiring professional skills and abilities and for facilitating the choice of a future professional outlet that aligns with one's expectations, aptitudes, and aspirations. The student can acquire further competencies and interpersonal skills through practical experience in a work environment.
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.