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. 2021/2022

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..

Definition of lesson periods
Period From To
primo semestre (lauree magistrali) Oct 4, 2021 Dec 17, 2021
secondo semestre (lauree magistrali) Feb 21, 2022 May 13, 2022
Exam sessions
Session From To
sessione invernale Jan 10, 2022 Feb 18, 2022
sessione estiva May 23, 2022 Jul 1, 2022
sessione autunnale Aug 22, 2022 Sep 23, 2022
Degree sessions
Session From To
sessione autunnale (validità a.a. 2020/2021) Dec 6, 2021 Dec 10, 2021
sessione invernale (validità a.a. 2020/2021) Apr 6, 2022 Apr 8, 2022
sessione estiva (validità a.a. 2021/2022) Sep 5, 2022 Sep 6, 2022

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

A F M Q R S Z

Andreoli Francesco

francesco.andreoli@univr.it 045 802 8102

Fiorentini Riccardo

riccardo.fiorentini@univr.it 0444 393934 (VI) - 045 802 8335(VR)

Florio Cristina

cristina.florio@univr.it 045 802 8296

Fratea Caterina

caterina.fratea@univr.it 045 802 8858

Furno Mario

mario.furno@univr.it

Mancini Cecilia

cecilia.mancini@univr.it

Minozzo Marco

marco.minozzo@univr.it 045 802 8234

Quercia Simone

simone.quercia@univr.it 045 802 8237

Ricciuti Roberto

roberto.ricciuti@univr.it 0458028417

Roffia Paolo

paolo.roffia@univr.it 045 802 8012

Rossi Francesca

francesca.rossi_02@univr.it 045 802 8098

Rossignoli Francesca

francesca.rossignoli@univr.it 0444 393941 (Ufficio Vicenza) 0458028261 (Ufficio Verona)

Russo Ivan

ivan.russo@univr.it 045 802 8161 (VR)

Stacchezzini Riccardo

riccardo.stacchezzini@univr.it 045 802 8186

Zago Angelo

angelo.zago@univr.it 045 802 8414

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.

Modules Credits TAF SSD
Between the years: 1°- 2°
Further language skills
3
F
-
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

4S008983

Coordinatore

Francesca Rossi

Credits

9

Scientific Disciplinary Sector (SSD)

SECS-P/05 - ECONOMETRICS

Language

English en

Period

primo semestre (lauree magistrali) dal Oct 4, 2021 al Dec 17, 2021.

Learning outcomes

Econometrics is the application of statistics and mathematics to economic and business data. In today’s world data are largely available and econometric techniques are crucially important to conducting reliable data analyses in private and public institutions. This course introduces students to regression methods for cross-sectional, time series, and panel data in order to analyze data in business and economics. After presenting the basic theoretical features of each method, the module will offer students the opportunity to practically implement estimation and hypothesis testing techniques in various empirical contexts. The main goal of the course is to provide students with a solid background in econometrics, to stimulate their abilities to apply such techniques on diverse datasets, and to enable them to critically analyze empirical studies in economics, business, and finance.

Program

The content of this module will be a balanced mixture of theoretical topics and their empirical application to real dataset. The practical applications involving the use of a statistics/econometrics software will be based on R.

The main topics will be as follow.

Simple linear regression model: model assumptions, ordinary least squares (OLS) and its statistical properties.
Multiple regression model: model assumptions, interpretation of estimates, multicollinearity.
Hypothesis testing: t-tests, F-tests and their distribution.
Dummy variables: definition of intercept and slope dummy variables, and interpretation of coefficients.
Heteroskedasticity: consequence of heteroscedasticity, robust standard errors, testing for heteroskedasticity.
Model misspecification: omitted variable bias, inclusion of irrelevant variables, non-linearity in the regressors.
Endogeneity and instrumental variables: random regressors, definition of endogeneity, instrumental variable estimator (IV), two stages least squares, measurement error, omitted variables and their IV solution, testing for endogeneity.
Simultaneous equations: identification problem, IV solution to simultaneity.
Binary dependent variables: linear probability model, interpretation of coefficients and limitation of this approach. Probit and Logit models.
Time series models: model assumptions, static models, distributed lag models.
Serial correlation: definition of serial correlation, consequences, robust standard errors, testing for serial correlation. Discussion on non stationary time series: consequences of non-stationarity and testing for unit roots.
Panel data analysis: definition of panel dataset, pooled OLS, analysis via differencing, fixed effect and random effects.


Bibliografia

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Examination Methods

The exam will be a 2-hour written examination. Students will have to answer questions on theory and practice related to the whole program. In addition, students will be asked to carry out a small empirical application by working in groups. Details of the group project will be extensively discussed at the beginning of the course. The final grade will be a weighted average of the marks obtained in the written examination (75%) and in the group project (25%).

More accurate information on lectures and examination will be provided as soon as additional details on the ongoing sanitary emergency will be known.

Type D and Type F activities

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.

Gestione carriere


Internships


Linguistic training CLA


Double degree

To contribute to the internationalization of the experience of students enrolled in the MSc in IEB, Double Degree agreements have been activated with the University of Bordeaux (FR) and with the University of Bamberg (D). Each agreement provides for the participation of a maximum of five students, therefore a total of (maximum) ten students can benefit from the experience.

Bordeaux 
Students selected for the Double Degree program with Bordeaux will spend the first semester of the second year at the partner university, during which they will participate in the Master Mention “Economie Internationale” - Parcours “Economie, banque et finance internationales”. Students will attend the  following courses in France (on the right the equivalent courses of the MSc in IEB):
Import/Export Techniques 8ECTS <---> International business law 9CFU
Growth and Development 7ECTS <---> International trade and economic development 9CFU 
International Trade and FDI 8ECTS <---> Export decisions, FDI, and global value chains 9CFU 
Strategic Analysis and Applications 7ECTS <---> Stage 3CFU 

Bamberg
Students selected for the Double Degree program with Bamberg, on the other hand, will participate in the Master of Science in European Economic Studies program, where they will attend the following courses:
- One course to be chosen in the MAEES1 Methods and Fundamentals module group:
Modul MAEES1.1 Advanced Microeconomics 6 ECTS
Modul MAEES1.2 Advanced Macroeconomics 6 ECTS
- Three courses (18 ECTS) with modules of the module groups MAEES Specialisation (of 6 ECTS each):
MAEES3 Internationale Wirtschaft (International Economics)
MAEES4 Empirische Mikroökonomik (Empirical Microeconomics)
MAEES5 Finanzwissenschaft (Public Economics)
MAEES7 Wirtschaftstheorie (Economic Theory)
MAEES8 Angewandte Wirtschaftsforschung (Applied Economic Research)
- 12 ECTS among the following Foreign Business Languages at master level:
German (for not German native speakers)
Business English
Business French
Business Italian (for not Italian native speakers)
Business Spanish
Business Russian
- 24 ECTS for thesis completion.

Requirements and selection procedure
Students regularly enrolled in the first year of the MSc in IEB can be admitted to the Double Degree programs. The call for applications will be published around September 2021 or later in the University web page on double degrees. The choice of students to be admitted is made during the first semester of the first year, through a multi-stage process:
- a selection of students based on the results achieved in their bachelor degree, on their CV and on a motivational interview. Following this selection, the ranking of students "admitted under condition" will be published;
- an ongoing confirmation of the above ranking, based on the academic achievement of the students in the first part of their studies at the University of Verona. Specifically, are confirmed the students "admitted under condition" which - at the end of the first semester of the first year - have achieved a weighted average score and a number of credits not lower than the average of the cohort of students enrolled in the first year (in the case of students’ transfers and career shortening, only the recognized exams for the first semester of the first year are taken into consideration).
The ranking of selected and confirmed students will be unique and the choice of destination - Bamberg or Bordeaux - will be made starting with the first classified student, then the second and so on.
Finally, the students selected and confirmed will participate in the call to obtain the Erasmus scholarships reserved for the assigned location.

Disclaimer
The information on this site may be subject to changes during construction. Please consult the site for any updates.

Graduation


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.