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
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:
Laurea in Economia e commercio - Enrollment from 2025/2026The 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. 2021/2022
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3° Year activated in the A.Y. 2022/2023
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2 modules to be chosen among the following
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Modules | Credits | TAF | SSD |
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2 modules to be chosen among the following
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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.
Market Analysis Laboratory (It will be activated in the A.Y. 2022/2023)
Teaching code
4S008961
Credits
6
Scientific Disciplinary Sector (SSD)
SECS-P/05 - ECONOMETRIA
Learning outcomes
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.