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 |
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primo semestre | Sep 14, 2015 | Jan 8, 2016 |
secondo semestre triennali | Feb 15, 2016 | Jun 1, 2016 |
secondo semestre | Feb 18, 2016 | May 28, 2016 |
Session | From | To |
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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 |
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.
Academic staff
Baronchelli Adelaide
adelaide.baronchelli@univr.itStudy 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
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2° Year activated in the A.Y. 2016/2017
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3° Year activated in the A.Y. 2017/2018
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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 (Stock-Watson, ch.2-3)
1.1. What is econometrics?
1.2. Probability
1.3. Statistics
2. REGRESSION ANALYSIS (Stock-Watson, ch.4-9)
2.1. Linear regressione with a single regressor and hypothesis testing
2.2. Linear regression with multiple regressions and hypothesis testing
2.3. Diagnostics of the regression model: specification, heteroskedasticity, autocorrelation
3. EXTENSIONS (Stock-Watson, ch.11-12)
3.1. Regression with instrumental variables
3.2. Regression with binary dependent variable
Author | Title | Publishing house | Year | ISBN | Notes |
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James H. Stock, Mark W. Watson | Introduzione all'econometria (Edizione 4) | Pearson Education Italia | 2016 | 978-8-891-90124-8 |
Examination Methods
The exam is made of one written essay and one homework; the final grade is given by the average of the grades in the essay and the homework, with 75% and 25% weights respectively.
The written essay is taken in a teaching room, lasts two hours and covers the whole program of the module. It is possible to use a calculator, but neither notes nor other teaching material. It is possible to split the essay in two parts, with each covering about half program. The grade of the essay is given by the simple average of the grades in the two parts. The first-part essay is planned in the week devoted to intermediate exams, while the second-part essay will be held together with the "primo appello" in January. Students are admitted to the second-part essay provided that their grade in the first-part exam is not lower than 16/30.
The homework is developed individually outside the teaching rooms, and can be of two types (Homework I and Homework II). Each student can choose which type of homework to deliver, but must deliver one of them. Once the deadline for delivery of Homework II has expired, it is possible to deliver Homework I only.
Homework I
The homework aims to develop critical skills with respect to empirical applications. Each student is free to choose one article from, e.g., www.lavoce.info, www.voxeu.org/ or other webiste, provided that it discusses an economic topic and makes use of data.
The homework consists in an essay of max. 2000 words, to be delivered by email (to the address alessandro.bucciol[at]univr.it) or in person within the day in which the exam is scheduled.
The essay must contain 1) a reference to the chosen article, 2) a summary of the article, briefly describing its motivation, goal, methodology and results, and 3) a critical comment on the methodology, also proposing alternative analyses and possible future developments.
Homework II
The homework aims to develop analytical skills through personal data analysis in Gretl.
Within December 13, students interested in this homework must write to the address alessandro.bucciol[at]univr.it communicating name, surname and ID number.
The text of the homework will be made available on December 14; the solution must be delivered by email within December 17.
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 soon also via the Univr app.
Graduation
List of theses and work experience proposals
theses proposals | Research area |
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Tesi di laurea - Il credit scoring | Statistics - Foundational and philosophical topics |