Economics

Econometrics I(ECON305)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
ECON305 Econometrics I 5 3 0 0 3 4
Prerequisites ECON208
Admission Requirements ECON208
Language of Instruction French
Course Type Compulsory
Course Level Bachelor Degree
Course Instructor(s) Zehra Yeşim GÜRBÜZ ygurbuz@gsu.edu.tr (Email)
Assistant
Objective The objective of the course is to teach students how to use econometric methods to quantify economic relations and providing the basic tools to do an empirical analysis to understand real world problems.
Content Simple linear econometrics models and linear econometrics models with several variables
Regression analysis
Econometrics analysis: various econometris tests and hypothesis' tests
Course Learning Outcomes Learning Principal Methods of the Econometrics
Conducting an Empirical Research
Teaching and Learning Methods Theorical approach
Exercises from various listinings
Application on computer
References • BOURBONNAIS R. (2000). Econométrie, manuel et exercices corrigés, Dunod (3ième ed.), Paris.
• JOHNSTON J., DINARDO J., (1999), Méthodes économétriques, Economica, 4ième ed., Paris.
• SHEATHER S.J.(2009), A Modern Aprroach to Regression with R
• WOOLDRIDGE J.M.(2005), Introduction to Econometrics
Print the course contents
Theory Topics
Week Weekly Contents
1 Introduction to econometrics
2 Regression analysis in the simple linear models
3 Regression analysis in the simple linear models: application
4 Regression analysis in the models with several variables
5 Regression analysis in the models with several variables
6 Regression analysis in the models with several variables: application
7 Application on computer
8 Mid-term
9 Econometric Analysis: various tests
10 Econometric Analysis :hypothesis's tests
11 Econometric Analysis: problem of autocorrelation
12 Econometric Analysis: application
13 Application on computer
14 Dummy variables: seasonality
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 5 50
Contribution of final exam to overall grade 1 50
Toplam 6 100
In-Term Studies
  Number Contribution
Assignments 3 20
Presentation 0 0
Midterm Examinations (including preparation) 1 30
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 0 0
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Toplam 4 50
No Program Learning Outcomes Contribution
1 2 3 4 5
1 Demonstrate a basic knowledge of different economic theories and main discussions driving current theoretical approaches
2 Demonstrate ability to use basic qualitative and quantitative methods to asses different economic questions of applied fields X
3 Show a sound understanding of current economic discussions and problems X
4 Have an effective and clear communication in written and oral formats in different public and professional contexts.
5 Demonstrate basic knowledge of the world economic history and a sound knowledge of the Turkish economic history
7 Demonstrate knowledge of standard quantitative techniques and empirical models used in economics X
8 Show ability to apply basic economic theory to an applied topic X
9 Show a basic understanding of analytical methods, both theory- and model-based X
10 Show ability to use economic concepts to discuss current economic issues
11 Reason logically and work analytically X
12 Show awareness on social aspects of the economics in different applied and theoretical fields
13 Identify appropriate economic models to analyse problems X
16 Show understanding of basic statistical and econometric concepts and ability to apply basic concepts to own empirical work X
17 Demonstrate a sound knowledge of the current economic issues in Turkey and a general knowledge of the issues in the world economy
Activities Number Period Total Workload
Class Hours 14 3 42
Working Hours out of Class 10 2 20
Assignments 2 3 6
Midterm Examinations (including preparation) 1 10 10
Final Examinations (including preparation) 1 10 10
Total Workload 88
Total Workload / 25 3,52
Credits ECTS 4
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