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. 2014/2015
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3° Year activated in the A.Y. 2015/2016
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Uno o due insegnamenti tra i seguenti per un totale di 12 cfu
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Uno o due insegnamenti tra i seguenti per un totale di 12 cfu
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 (2015/2016)
Teaching code
4S01951
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-P/05 - ECONOMETRICS
Period
I semestre dal Oct 1, 2015 al Jan 29, 2016.
Learning outcomes
In economics, many decisions need quantitative answers to quantitative questions. During this course, statistical and economic methods will be discussed with the aim to provide students the techniques that economists use for estimating, testing, and forecasting economic relationships, as well as the capability to understand and interpret the results of the analysis.
Program
Review of probability and statistics.
Simple and multiple regression models.
Interpretation, OLS estimation, inference and prediction in the regression model.
Diagnostics in the linear regression model (please refer to the notes available on e-learning).
Instrumental variables regression.
Regression model with a 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.