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 Matematica applicata - 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. 2013/2014
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One course chosen from the following two
3° Year activated in the A.Y. 2014/2015
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One course of 12 ECTS or two courses of 6 ECTS chosen from the following three
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Modules | Credits | TAF | SSD |
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One course chosen from the following two
Modules | Credits | TAF | SSD |
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One course of 12 ECTS or two courses of 6 ECTS chosen from the following three
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.
Econometrics (2014/2015)
Teaching code
4S01951
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
MAT/06 - PROBABILITY AND STATISTICSSECS-P/05 - ECONOMETRICS
Period
I sem. dal Oct 1, 2014 al Jan 30, 2015.
Learning outcomes
This course intends to expose students to the statistical techniques that economists use for estimating, testing, and forecasting economic relationships. The course covers a range of examples and empirical applications in order to allow students to properly analyze economic phenomena, including the use of a computer software package.
Program
Review of Statistics.
Single and multiple regression models.
Interpretation, estimation, inference and prediction of the models: OLS and diagnostic.
Regression model for 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
Written exam: theoretical questions and exercises.