Course Outline
The course will introduce regression analysis and cover some of the most recent econometric techniques central to modern econometric practice. Successful students will gain a deeper understanding of the material discussed in other Distance Learning Program courses. They will be up to speed with Western European students at the same education level, making them more competitive in their further studies and on the labor market. At the end of this course students will understand basic econometric concepts, basic estimation methods, and methods for testing statistical hypotheses. They will be able to apply standard methods of constructing econometric models, process statistical information, obtain statistically sound conclusions, and give meaningful interpretation to the results of the estimated econometric models. In addition, students will gain real data processing skills, using econometric packages for building and estimating econometric models in R.
Course Structure
Each week will include lectures and an exercise session on the same topic. Lectures will introduce theoretical concepts, while exercise sessions will cover theoretical and empirical exercises. The course topics include the following.
- Estimation methods
- Testing statistical hypothesis
- Constructing econometric models
- Interpretation of the results of
- Working with data in R package.
- Estimation of econometric models in R package.
- Working with different libraries in R package.
- Advanced econometric models in R package
Main Instructor: Ella Sargsyan, Ph.D.
Local Instructor: Assoc. Professor Wojciech Grabowski, Ph.D. (wojciech.grabowski@uni.lodz.pl)
Course Details
- ECTS points: 5 ECTS points (can be exchanged for crediting an elective lecture)
- Classes: April 27 – June 5, 2026
- Online lectures: Tuesday 7.45 – 9.15 a.m. CET and Wednesday 7.45 – 8.30 a.m. CET*
- Workshops with the local instructor: Friday 8.45 – 9.30 a.m. CET at the EkSoc Campus
- Language of instruction: English
- Grading: Weekly quizzes (60%), Final exam (40%)
- Final exam week: June 8 – 12, 2026
- Make-up exam week: June 15 – 19, 2026
Registration
Registration is conducted via online form
