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## Syllabus

EN IT

### Learning Objectives

LEARNING OUTCOMES: Students will learn how to a) use econometric techniques to analyse new data, b) correctly interpret econometric results and c) carry out econometric analyses in STATA.
KNOWLEDGE AND UNDERSTANDING: Students will learn core econometric methods and understand how to apply them using STATA.
APPLYING KNOWLEDGE AND UNDERSTANDING: Students will obtain the ability to autonomously create, understand and present econometric results.
MAKING JUDGEMENTS: Students will learn how to judge the reliability and importance of econometric results and how to pick appropriate methods for different types of data.
COMMUNICATION SKILLS: Students will learn how to present econometric results to specialist and non-specialist audiences.
LEARNING SKILLS: Students will learn how to interpret econometric results in research papers.

### Program

# Ordinary Least Squares
# Maximum Likelihood Estimation
# Binary Dependent Variables
# Qualitative Dependent Variables
# Ordered Dependent Variables
# Panel Data

### Books

All material related to the course, such as slides and STATA code, will be shared through MS Teams.

### Bibliography

Hill, R. C., Griffiths, W. E., & Lim, G. C. (2018). Principles of econometrics. John Wiley & Sons.

### Teaching methods

The course will be taught as a mix of lectures and interactive software exercises.

### Exam Rules

The course is 100% assessed through a written, one-hour exam. The exam is composed of a theoretical section, consisting of 5 multiple choice questions, and a practical part, which tests both empirical and theoretical understanding and consists of 11 short open-answer questions computed with the use of STATA. Each answer is worth 2 points.

Students will be encouraged to discuss and actively participate in the lectures in order to practise the studied material and deepen their understanding. The final exam assesses students' understanding of the course content as well as their ability to apply this knowledge by conducting and interpreting analyses with the use of STATA.