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 | Sep 14, 2015 | Jan 8, 2016 |
| secondo semestre triennali | Feb 15, 2016 | Jun 1, 2016 |
| Session | From | To |
|---|---|---|
| appelli sessione invernale | Jan 11, 2016 | Feb 13, 2016 |
| prove intermedie secondo semestre | Apr 11, 2016 | Apr 15, 2016 |
| appelli sessione estiva | Jun 6, 2016 | Jul 9, 2016 |
| Appelli sessione autunnale | Aug 29, 2016 | Sep 16, 2016 |
| prove intermedie primo semestre | Nov 2, 2016 | Nov 6, 2016 |
| 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 |
| 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.
Should you have any doubts or questions, please check the Enrollment FAQs
Academic staff
045 802 8495 (VR) -- 0444/393938 (VI)
silvano.corbella@univr.it
Mussini Mauro
mauro.mussini@univr.it
maurizio.pizzamiglio@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 enrollment year.
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year activated in the A.Y. 2016/2017
| Modules | Credits | TAF | SSD |
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3° Year activated in the A.Y. 2017/2018
| 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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| 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.
Introductory econometrics (2017/2018)
Teaching code
4S02453
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-P/05 - ECONOMETRICS
Period
Primo Semestre Triennali dal Sep 18, 2017 al Jan 12, 2018.
Learning outcomes
Many economic decisions require quantitative answers to quantitative questions. The module aims to provide the main econometric tools to develop, based on the available data, an empirical analysis on the relation between economic variables, and correctly interpret the results obtained. Econometric tools can be used in many economic situations (such as finance, labor economics, macroeconomics, microeconomics, marketing and political economy) as well as in social sciences (political science, sociology, health). Empirical applications in the economic and business fields will be discussed throughout the course.
Program
1. INTRODUCTION
1.1. What is econometrics?
1.2. Probability
1.3. Statistics
2. REGRESSION ANALYSIS
2.1. Linear regressione with a single regressor and hypothesis testing
2.2. Linear regression with multiple regressions and hypothesis testing
3. SPECIFICATION TESTING IN THE REGRESSION MODEL
3.1. Specification
3.2. Heteroskedasticity
3.3. Autocorrelation
4. EXTENSIONS
4.1. Regression with instrumental variables
4.2. Regression with binary dependent variable
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| James H. Stock, Mark W. Watson | Introduzione all'econometria (Edizione 4) | Pearson Education Italia | 2016 | 978-8-891-90124-8 |
Examination Methods
A non-mandatory midterm exam will take place during the first week of November. The mid-term exam is written and concerns the topics discussed up to that point (about half the program).
If the grade is at least 16/30, the midterm exam contributes for 50% of the final grade -- provided that the final exam is taken in the "primo appello" in January. In that case, students will take a written exam on the topics covered after the midterm. However, students are free to disregard the grade of the mid-term exam if they wish.
Students not willing to take the midterm exam, and students who choose to disregard it, are expected to take a written exam on the whole program.
The final grade is a weighted average of the written (in class, closed books) examination (75%) and a take-home Homework (25%). Students must choose one of the two take-home Homework proposed during the semester.
Type D and Type F activities
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 also via the Univr app.
Graduation
List of thesis proposals
| theses proposals | Research area |
|---|---|
| Tesi di laurea - Il credit scoring | Statistics - Foundational and philosophical topics |
| La performance delle imprese che adottano politiche di Corporate Social responsibility | Various topics |
| La previsione della qualita' dei vini: Il caso dell'Amarone | Various topics |
| Proposte di tesi | Various topics |
| Tesi in Macroeconomia | Various topics |
| tesi triennali | Various topics |
Student mentoring
Linguistic training CLA
Gestione carriere
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.
