Introductory econometrics (2016/2017)

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. DIAGNOSTICS OF 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

Assessment methods and criteria

A voluntary intermediate exam is planned in the middle of the module. The intermediate 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 intermediate exam contributes for 50% of the final grade -- provided that the exam is taken in the "primo appello" in January. In that case, they will take another written exam on the remaining topics of the program.
However, students are free to disregard the grade of the intermediate exam if they wish.

Students not willing to take the intermediate exam, and students who choose to disregard its grade, are expected to take a written exam on the whole program.

During the semester two optional take-home assigments will be proposed, aimed at developing critical and analytical skills. Such homework will contribute to the final grade, provided that the exam is taken in the winter session (January or February).

STUDENT MODULE EVALUATION - 2016/2017