Applied Econometrics, graph: Robert Shaw
The main objective of the course is to connect the theoretical econometric concepts and models that the students are taught in the Econometrics course, with the practical application and analysis of econometric methods and models in a manner similar to that applied by the empirical researchers-economists. Students are familiarized with the basic tools of economists to quantify, measure and analyze economic data, relationships and phenomena using the econometric package gretl.
The course will analyze and process data from real economic data bases, as well as the use of appropriate econometric models, depending on the nature of the data (spatial data, chronological data, combination of two, etc.), to answer classic economic questions.
At the end of the course the students are expected to have a complete knowledge of the classical tools and techniques of the applied economic analysis and in addition to have developed the following skills:
In summary, the material to be covered - always at a practical level using as a main empirical tool the econometric software “gretl” - is the following:
Simple Linear Regression:
Multiple Linear Regression Model:
Finally, practical application using gretl will be based on all three possibilities offered by the software:
Lectures at Computer Lab
|
Activity |
Semester workload |
|
Lectures (3 hours per week x 13 weeks) |
39 hours |
|
Hours for private study and preparation of home-works |
111 hours |
|
Total number of hours for the Course (25 hours of work-load per ECTS credit) |
150 hours (total student work-load) |
Written final exam in Greek
Optional individual enhancement grade projects that include comprehension exercises in the course modules (compulsory use of gretl)
