Introductory econometrics (2017/2018)

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Course code
4S02453
Name of lecturer
Diego Lubian
Coordinator
Diego Lubian
Number of ECTS credits allocated
6
Academic sector
SECS-P/05 - ECONOMETRICS
Language of instruction
Italian
Location
VERONA
Period
Primo Semestre Triennali dal Sep 18, 2017 al Jan 12, 2018.
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Lesson timetable

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Learning outcomes

Many economic decisions require quantitative answers to quantitative questions. The module aims to provide the main econometric tools to develop, based on the available data, an empirical analysis on the relation between economic variables, and correctly interpret the results obtained. Econometric tools can be used in many economic situations (such as finance, labor economics, macroeconomics, microeconomics, marketing and political economy) as well as in social sciences (political science, sociology, health). Empirical applications in the economic and business fields will be discussed throughout the course.

Syllabus

1. INTRODUCTION
1.1. What is econometrics?
1.2. Probability
1.3. Statistics

2. REGRESSION ANALYSIS
2.1. Linear regressione with a single regressor and hypothesis testing
2.2. Linear regression with multiple regressions and hypothesis testing

3. SPECIFICATION TESTING IN THE REGRESSION MODEL
3.1. Specification
3.2. Heteroskedasticity
3.3. Autocorrelation

4. EXTENSIONS
4.1. Regression with instrumental variables
4.2. Regression with binary dependent variable

Reference books
Author Title Publisher Year ISBN Note
James H. Stock, Mark W. Watson Introduzione all'econometria (Edizione 4) Pearson Education Italia 2016 978-8-891-90124-8

Assessment methods and criteria

A non-mandatory midterm exam will take place during the first week of November. The mid-term exam is written and concerns the topics discussed up to that point (about half the program).
If the grade is at least 16/30, the midterm exam contributes for 50% of the final grade -- provided that the final exam is taken in the "primo appello" in January. In that case, students will take a written exam on the topics covered after the midterm. However, students are free to disregard the grade of the mid-term exam if they wish.
Students not willing to take the midterm exam, and students who choose to disregard it, are expected to take a written exam on the whole program.
The final grade is a weighted average of the written (in class, closed books) examination (75%) and a take-home Homework (25%). Students must choose one of the two take-home Homework proposed during the semester.

STUDENT MODULE EVALUATION - 2017/2018

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