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 (lauree magistrali) | Oct 5, 2020 | Dec 23, 2020 |
| secondo semestre (lauree magistrali) | Mar 1, 2021 | Jun 1, 2021 |
| Session | From | To |
|---|---|---|
| sessione invernale | Jan 11, 2021 | Feb 12, 2021 |
| sessione estiva | Jun 7, 2021 | Jul 23, 2021 |
| sessione autunnale | Aug 23, 2021 | Sep 17, 2021 |
| Session | From | To |
|---|---|---|
| sessione autunnale (validità a.a. 2019/20) | Dec 9, 2020 | Dec 11, 2020 |
| sessione invernale (validità a.a. 2019/20) | Apr 7, 2021 | Apr 9, 2021 |
| sessione estiva (validità a.a. 2020/21) | Sep 6, 2021 | Sep 8, 2021 |
| Period | From | To |
|---|---|---|
| Vacanze di Natale | Dec 24, 2020 | Jan 6, 2021 |
| Vacanze di Pasqua | Apr 3, 2021 | Apr 6, 2021 |
| Vacanze estive | Aug 9, 2021 | Aug 15, 2021 |
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.
Should you have any doubts or questions, please check the Enrolment FAQs
Academic staff
Vannucci Virginia
virginia.vannucci@univr.it
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 |
|---|
| Modules | Credits | TAF | SSD |
|---|
1° Year
| Modules | Credits | TAF | SSD |
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2° Year
| 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.
Metodi Quantitativi per i Mercati Internazionali (2020/2021)
Teaching code
4S008983
Teacher
Coordinatore
Credits
9
Language
English
Scientific Disciplinary Sector (SSD)
SECS-P/05 - ECONOMETRICS
Period
primo semestre (lauree magistrali) dal Oct 5, 2020 al Dec 23, 2020.
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.
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| Wooldridge J.M. | Introductory Econometrics: A Modern Approach (Edizione 6) | South-western Cengage Learning | 2015 | Altre edizioni di questo testo sono ugualmente valide |
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.
More accurate information on lectures and examination will be provided as soon as additional details on the ongoing sanitary emergency will be known.
Bibliography
Type D and Type F activities
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° | Future matters | D |
Alessandro Bucciol
(Coordinatore)
|
| 1° | Future matters | D |
Alessandro Bucciol
(Coordinatore)
|
| years | Modules | TAF | Teacher | |
|---|---|---|---|---|
| 1° | The fashion lab (1 ECTS) | D |
Maria Caterina Baruffi
(Coordinatore)
|
|
| 1° | The fashion lab (2 ECTS) | D |
Maria Caterina Baruffi
(Coordinatore)
|
|
| 1° | The fashion lab (3 ECTS) | D |
Maria Caterina Baruffi
(Coordinatore)
|
|
| 1° 2° | Introduction to the use of R - 2020/21 | D |
Francesca Rossi
(Coordinatore)
|
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° | Design and Evaluation of Economic and Social Policies | D |
Federico Perali
(Coordinatore)
|
| 1° | Public debate and scientific writing - 2020/2021 | D |
Martina Menon
(Coordinatore)
|
| 1° | Soft skills coaching days Vicenza (terza edizione) - 2020/2021 | D |
Paola Signori
(Coordinatore)
|
| 1° | Wake up Italia - 2020/2021 | D |
Sergio Noto
(Coordinatore)
|
| years | Modules | TAF | Teacher | |
|---|---|---|---|---|
| 1° | Professional Communication for Economics | D |
Claudio Zoli
(Coordinatore)
|
|
| 1° | Transactional skills in business law - 2020/2021 | D |
Caterina Fratea
(Coordinatore)
|
|
| 1° 2° | Bases of data visualization. A software-free introduction - 2020/21 | D |
Angelo Zago
(Coordinatore)
|
|
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.
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.
Linguistic training CLA
Graduation
Internships
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.
