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.

Study Plan

A.A. 2024/2025 A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Bachelor's degree in Economics and Business - Enrollment from 2025/2026

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

ModulesCreditsTAFSSD
9
A
IUS/01
9
A
SECS-P/07
9
B
SECS-P/08
9
A
SECS-P/01
9
A
SECS-S/06
9
C
SECS-P/12
English B1
3
E
-

2° Year  activated in the A.Y. 2025/2026

ModulesCreditsTAFSSD
6
B
SECS-P/07
9
C
SECS-P/09
6
A
IUS/04
9
B
SECS-P/01
9
B
SECS-P/07
9
B
SECS-P/03
9
B
SECS-S/01

3° Year  It will be activated in the A.Y. 2026/2027

ModulesCreditsTAFSSD
9
B
IUS/07
9
B
SECS-P/05
9
B
SECS-S/06
6
B
SECS-P/02
2 modules among the following
6
C
SECS-P/02
6
C
SECS-S/01
6
C
SECS-P/01
6
C
SECS-S/06
6
C
SECS-P/05
6
C
SECS-P/02
6
F
-
Final exam
3
E
-
ModulesCreditsTAFSSD
9
A
IUS/01
9
A
SECS-P/07
9
B
SECS-P/08
9
A
SECS-P/01
9
A
SECS-S/06
9
C
SECS-P/12
English B1
3
E
-
activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
6
B
SECS-P/07
9
C
SECS-P/09
6
A
IUS/04
9
B
SECS-P/01
9
B
SECS-P/07
9
B
SECS-P/03
9
B
SECS-S/01
It will be activated in the A.Y. 2026/2027
ModulesCreditsTAFSSD
9
B
IUS/07
9
B
SECS-P/05
9
B
SECS-S/06
6
B
SECS-P/02
2 modules among the following
6
C
SECS-P/02
6
C
SECS-S/01
6
C
SECS-P/01
6
C
SECS-S/06
6
C
SECS-P/05
6
C
SECS-P/02
6
F
-
Final exam
3
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°
12
D
-

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.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Market Analysis Laboratory  (2026/2027)

Teaching code

4S008961

Teacher

Graziano Moramarco

Coordinator

Graziano Moramarco

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-P/05 - ECONOMETRICS

Period

Secondo semestre L dal Feb 15, 2027 al May 28, 2027.

Courses Single

Authorized

Lessons timetable Seminars 0

Learning objectives

This course provides guidance to perform applied econometric analysis, offering the training necessary to analyze economic data, to interpret them and to measure the relationships suggested by economic theories in different fields such as Macroeconomics, Microeconomics, and Finance . During the course the basic elements of econometric analysis will be reviewed but the emphasis will be placed on applications and model building. Students will acquire the knowledge and skills necessary for the analysis of economic data, as well as the interpretation and discussion of the results. Group work will complement individual study for this purpose.
At the end of the course the student will be to independently conduct reliable empirical analysis, from the data collection step, to the descriptive analysis and up to the identification of the main relationships between the variables of interest.

Prerequisites and basic notions

Recommended: Econometrics

Program

1) Introduction to R
2) Linear regressions for cross-sectional data and time series: least squares (OLS, WLS) and diagnostic tests (heteroskedasticity, autocorrelation, structural breaks)
• Empirical applications in R: Capital asset pricing model; Consumption function; Phillips curve; International trade and economic growth
3) Nonlinear relationships and binary dependent variables
• Empirical applications in R: Cobb-Douglas production function; Recession analysis
4) Endogeneity and instrumental variables
• Empirical applications in R: Supply and demand curves
5) Regressions on panel data
• Empirical applications in R: Tariffs and international trade; Corporate finance models
6) Introduction to economic forecasting
• Empirical applications in R: Probabilistic forecasts of a stock market index via Monte Carlo simulation

Bibliography

Vai alla 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.

Didactic methods

The course consists of 16 lectures, each lasting three hours, corresponding to 6 CFU.
The materials distributed during the course (slides, software commands, whiteboard notes) are the reference source for studying the topics covered.
Recordings of the lectures will be available on the course's Moodle page.
For further reading, the recommended readings are: - Introduction to Econometrics (fifth edition) by James H. Stock and Mark W. Watson (chapters 4-12 and 15) - Introduction to Econometrics with R, by Christoph Hanck, Martin Arnold, Alexander Gerber, and Martin Schmelzer, available at https://www.econometrics-with-r.org/

Learning assessment procedures

• Report to be prepared at home (weight 70%)
• Written test (weight 30%)
The written test lasts 45 minutes and requires the interpretation and commentary of the results provided in the questions (no software commands will be required).

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Evaluation criteria

The final evaluation is based on the ability to appropriately apply econometric methodologies to the economic problems addressed and to correctly interpret the results.

Criteria for the composition of the final grade

The final grade is the average of the grades for the take-home assignment and the written test, weighted 70% and 30% of the total, respectively.

Exam language

Italiano