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 LM | Sep 30, 2024 | Dec 23, 2024 |
Periodo generico | Oct 1, 2024 | May 31, 2025 |
Secondo semestre LM | Feb 17, 2025 | May 23, 2025 |
Session | From | To |
---|---|---|
Sessione invernale LM | Jan 7, 2025 | Feb 14, 2025 |
Sessione estiva LM | May 26, 2025 | Jul 11, 2025 |
Sessione autunnale LM | Aug 25, 2025 | Sep 19, 2025 |
Session | From | To |
---|---|---|
Sessione autunnale a.a. 2023/2024 | Dec 4, 2024 | Dec 6, 2024 |
Sessione invernale a.a. 2023/2024 | Apr 2, 2025 | Apr 4, 2025 |
Sessione estiva a.a. 2024/2025 | Sep 3, 2025 | Sep 5, 2025 |
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 |
---|
2° Year It will be activated in the A.Y. 2025/2026
Modules | Credits | TAF | SSD |
---|
Modules | Credits | TAF | SSD |
---|
Modules | Credits | TAF | SSD |
---|
Modules | Credits | TAF | SSD |
---|
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 (2024/2025)
Teaching code
4S02464
Teacher
Coordinator
Credits
9
Language
English
Scientific Disciplinary Sector (SSD)
SECS-P/05 - ECONOMETRICS
Period
Secondo semestre LM dal Feb 17, 2025 al May 23, 2025.
Courses Single
Authorized
Learning objectives
The course provides an overview of the main econometric tools, with particular emphasis on economic applications, developed interactively using the R package. The program covers standard econometric models (OLS regression and its diagnostics) as well as more advanced models for the analysis of cross-sectional (IV, probit, tobit), time series (autoregressive) and panel data (random and fixed effects). Particular attention will be given to the intuition behind each topic, in addition to more formal issues.
Part of the evaluation is based on the delivery of an assignment, whose aim is applying on concrete cases the tools learnt in class and stimulating discussion among students. At the end of the course, students should be able to: i) read and critically interpret empirical works developed by other researchers, ii) manage small and large datasets in order to extract useful information, and iii) design and implement on their own empirical analyses based on real data.
Prerequisites and basic notions
Working knowledge of basic mathematics and statistics is recommended.
Program
1. INTRODUCTION
1a. What is Econometrics?
Definition; cross-section, time series and panel data.
1b. R tutorial
Data management; basic statistics; graphics.
2. ORDINARY LEAST SQUARES (OLS) ESTIMATOR
2a. Introduction
Univariate and multivariate regression; marginal effects and elasticity; R-squared and adjusted R-squared; outliers.
2b. Properties
Gauss-Markov assumptions; unbiasedness; efficiency; consistency; asymptotic normality.
2c. Testing
t-test on one restriction; F test on several restrictions.
3. OLS DIAGNOSTICS
3a. Specification
Collinearity; superfluous and omitted variables; RESET test of specification; Chow test of structural stability.
3b. Heteroskedasticity
White test and Breusch-Pagan test; White robust standard errors.
3c. Time series
Stationarity; AR processes; Durbin-Watson and Breusch-Godfrey tests; Newey-West robust standard errors.
4. INSTRUMENTAL VARIABILE (IV) ESTIMATOR
4a. Estimator
Assumptions; Simple instrumental variable (SIV) and generalized instrumental variable (GIV); properties; two-stage derivation (2SLS).
4b. Instrument selection
Relevance test; weak instruments; Sargan validity test; Hausman exogeneity test.
5. LIMITED DEPENDENT VARIABLE (LDV)
5a. Binary dependent variable
Linear probability model (LPM); probit and logit models; marginal effects; maximum likelihood estimate; goodness of fit; hypothesis testing.
5b. Truncated and censored data
Truncated regression; tobit-I model; tobit-II and heckman models; marginal effects; goodness of fit.
6. PANEL DATA
6a. Models
Difference-in-difference; Pooled effects, fixed effects and random effects.
6b. Testing
Goodness of fit; comparison tests; attrition.
Bibliography
Didactic methods
Frontal teaching. Lectures include real examples interactively developed using the data management free software R.
Learning assessment procedures
The exam is made of one written essay and one individual homework. No oral integration is planned.
The written essay lasts one hour and thirty minutes and covers the whole program of the course. Use of handheld calculators is allowed, but use of personal notes or other teaching material is not allowed.
The homework is developed individually, and can be of two types (Homework I or Homework II). Homework I aims to develop analytical skills through personal data analysis. Homework II aims to develop critical skills with respect to empirical applications. Each student can choose which type of homework to deliver, but must deliver one of them. Once the deadline for delivery of Homework I has expired, it is possible to deliver Homework II only. The homework has to be delivered before taking part in the written essay; its grade remains valid throughout the academic year.
Evaluation criteria
The written essay evaluates general understanding of the main econometric topics and the ability to understand and interpret tables reporting econometric output. The homeworks ascertain the ability to develop empirical research through personal elaboration (Homework I) or to critically comment empirical research developed by others (Homework II).
Criteria for the composition of the final grade
The final grade is given by the average of the grades in the essay and the homework, with 80% and 20% weights respectively. In order to pass the exam, it is necessary to obtain a grade not below 18/30 in the written essay. Students can separately reject the essay grade and the homework grade. However, the homework grade can be rejected only once.
Exam language
Inglese
Type D and Type F activities
Nei piani didattici di ciascun Corso di studio è previsto l’obbligo di conseguire un certo numero di crediti formativi mediante attività a scelta (chiamate anche "di tipologia D e F").
Oltre che in insegnamenti previsti nei piani didattici di altri corsi di studio e in certificazioni linguistiche o informatiche secondo quanto specificato nei regolamenti di ciascun corso, tali attività possono consistere anche in iniziative extracurriculari di contenuto vario, quali ad esempio la partecipazione a un seminario o a un ciclo di seminari, la frequenza di laboratori didattici, lo svolgimento di project work, stage aggiuntivo, eccetera.
Come per ogni altra attività a scelta, è necessario che anche queste non costituiscano un duplicato di conoscenze e competenze già acquisite dallo studente.
Quelle elencate in questa pagina sono le iniziative extracurriculari che sono state approvate dalla Commissione didattica e quindi consentono a chi vi partecipa l'acquisizione dei CFU specificati, alle condizioni riportate nelle pagine di dettaglio di ciascuna iniziativa.
Si ricorda in proposito che:
- tutte queste iniziative richiedono, per l'acquisizione dei relativi CFU, il superamento di una prova di verifica delle competenze acquisite, secondo le indicazioni contenute nella sezione "Modalità d'esame" della singola attività;
- lo studente è tenuto a inserire nel proprio piano degli studi l'attività prescelta e a iscriversi all'appello appositamente creato per la verbalizzazione, la cui data viene stabilita dal docente di riferimento e pubblicata nella sezione "Modalità d'esame" della singola attività.
Scopri i percorsi formativi promossi dal Teaching and learning centre dell'Ateneo, destinati agli studenti iscritti ai corsi di laurea, volti alla promozione delle competenze trasversali: https://talc.univr.it/it/competenze-trasversali
CONTAMINATION LAB
Il Contamination Lab Verona (CLab Verona) è un percorso esperienziale con moduli dedicati all'innovazione e alla cultura d'impresa che offre la possibilità di lavorare in team con studenti e studentesse di tutti i corsi di studio per risolvere sfide lanciate da aziende ed enti. Il percorso permette di ricevere 6 CFU in ambito D o F. Scopri le sfide: https://www.univr.it/it/clabverona
----------------------------------------------------------------------
ATTENZIONE: Per essere ammessi a sostenere una qualsiasi attività didattica, incluse quelle a scelta, è necessario essere iscritti all'anno di corso in cui essa viene offerta. Si raccomanda, pertanto, ai laureandi delle sessioni di dicembre e aprile di NON svolgere attività extracurriculari del nuovo anno accademico, cui loro non risultano iscritti, essendo tali sessioni di laurea con validità riferita all'anno accademico precedente. Quindi, per attività svolte in un anno accademico cui non si è iscritti, non si potrà dar luogo a riconoscimento di CFU.
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | B-education: Sound ideas | D |
Cristina Florio
(Coordinator)
|
1° 2° | B-education: Sound ideas | D |
Cristina Florio
(Coordinator)
|
1° 2° | Ciclo tematico di conferenze “Italia nel mondo” - 2024/2025 | D |
Riccardo Stacchezzini
(Coordinator)
|
1° 2° | Ethical finance | D |
Giorgio Mion
(Coordinator)
|
1° 2° | Generative AI (Artificial Intelligence) for Business Communication | D |
Massimo Melchiori
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | Elements of Financial Risk Management - 2024/2025 | D |
Claudio Zoli
(Coordinator)
|
1° 2° | Methods and tools for literature reviews | D |
Cristina Florio
(Coordinator)
|
1° 2° | Sustainable business model frameworks | D |
Vincenzo Riso
(Coordinator)
|
1° 2° | Topics in applied economics and finance - 2024/2025 | D |
Claudio Zoli
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | Data Analysis Laboratory with R (Verona) | D |
Marco Minozzo
(Coordinator)
|
1° 2° | Data Visualization Laboratory | D |
Marco Minozzo
(Coordinator)
|
1° 2° | Python Laboratory | D |
Marco Minozzo
(Coordinator)
|
1° 2° | Data Science Laboratory with SAP | D |
Marco Minozzo
(Coordinator)
|
1° 2° | Advanced Excel Laboratory (Verona) | D |
Marco Minozzo
(Coordinator)
|
1° 2° | Excel Laboratory (Verona) | D |
Marco Minozzo
(Coordinator)
|
1° 2° | Methods and tools for empirical research in management | D |
Cristina Florio
(Coordinator)
|
1° 2° | Methods and tools for empirical research in management | D |
Cristina Florio
(Coordinator)
|
1° 2° | Plan your professional future | D |
Paolo Roffia
(Coordinator)
|
1° 2° | Plan your professional future | D |
Paolo Roffia
(Coordinator)
|
1° 2° | Marketing plan | D |
Fabio Cassia
(Coordinator)
|
1° 2° | Programming in Matlab | D |
Marco Minozzo
(Coordinator)
|
1° 2° | Programming in SAS | D |
Marco Minozzo
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | Artificial Intelligence, AI and Business Operations: Methods and Techniques | D |
Lapo Mola
(Coordinator)
|
1° 2° | The business consultant accountant | D |
Riccardo Stacchezzini
(Coordinator)
|
1° 2° | Relational soft skills for professional presence | D |
Federico Brunetti
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | French B1 | D | Not yet assigned |
1° 2° | French B2 | D | Not yet assigned |
1° 2° | English C1 | D | Not yet assigned |
1° 2° | Russian B1 | D | Not yet assigned |
1° 2° | Russian B2 | D | Not yet assigned |
1° 2° | Spanish B1 | D | Not yet assigned |
1° 2° | Spanish B2 | D | Not yet assigned |
1° 2° | German B1 | D | Not yet assigned |
1° 2° | German B2 | D | Not yet assigned |
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 thesis proposals
theses proposals | Research area |
---|---|
PMI (SMES) and financial performance | MANAGEMENT OF ENTERPRISES - MANAGEMENT OF ENTERPRISES |
Corporate governance, financial performance and international business | Various topics |
Linguistic training CLA
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.
Gestione carriere
Student login and resources
Methods of teaching delivery
All lectures as well as all the exams are held in person. In particular, we highlight the importance of taking part in classroom activities in order to benefit from interaction with colleagues and instructors and participating in project works, presentations and group works that could be organized by the different courses.
Furthermore, as a further service to students, the lessons will be video-recorded and made available on the relevant e-learning platform of the courses unless otherwise communicated by the individual lecturers who will also define the methods and times for activating this service. However, it is underlined that the recordings do not represent a substitute for the lectures and activities carried out in the classroom.