Information Package / Course Catalogue
Experimental Economics Workshop
Course Code: İKT452
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

The aim is to extend students' ability to use computer software as a tool for problem-solving and model analysis in economics and to introduce them to some of the electronic databases available for use by economists. On the successful completion of this unit, students should be able to use current statistics and econometric software to run multiple regressions, to perform diagnostic tests such as normality, serial correlation, white heteroskedasticity and Ramsey RESET tests, to interpret the basic regression output, to use other important PC and mainframe software tools which have been identified in the course and to use electronic databases to obtain relevant economic data.

Course Content

Introduction to Eviews, Review of Basic Econometrics, Simple and Multiple Regression, Restriction and Diagnostic Tests, Stationarity, Cointegration, Tests of Structural Breaks, Granger Causality, Vector Auto Regression, Time-series Models, Model Selection Criteria, Preparation of Final Report, Oral Presentations

Name of Lecturer(s)
Learning Outcomes
1.to be able to create equations, making charts, using Excel, Econometric views, Word and Powerpoint software effectively for economic analysis
2.By the end of the semester, students will be able to estimate econometric models using statistical software packages
3.Interpret the output of statistical/econometric analyses and decide whether the obtained results are of ‘statistical significance
4.To be able to think with the concepts of behavioral economics and experimental economics
5.To be able to understand concept of behavioral economics
Recommended or Required Reading
1.Gujarati D. N. (2003) Basic Econometrics, 4th Edition, McGraw-Hill
2.Griffiths W. E. (2008) Using EViews for Principles of econometrics, 3rd edition, N.J.: John Wiley.
Weekly Detailed Course Contents
Week 1 - Theoretical
Economic developments of developing countries, national income, GDP, GNP, national income per capita, purchasing power parity etc. Calculations and applications, National income Incident analysis, Current balance, trade deficit Event analysis
Week 2 - Theoretical
Correlation analysis Event analysis, consumption function, marginal consumption tendency and multiplier Incident analysis, Nominal and real exchange rate, productivity and wages, international competitiveness Event analysis
Week 3 - Theoretical
Capital account and hot money Event analysis, Inflation event analysis, Domestic savings and investments Event analysis
Week 4 - Theoretical
Correlation analysis, and flexibility in the labor market Event analysis: Correlation between wages and labor coefficient, Cobb-Douglas Production function Event analysis: Estimating Cobb-Douglas production function using Eviews
Week 5 - Theoretical
Input-output tables, matrix of input coefficients, Leontief inverse matrix, sectoral backwardness and sectoral import dependency Event analysis: Leontief inverse matrix calculator and graphs
Week 6 - Theoretical
Unemployment and employment Incident analysis: full-time employment, part-time employment, value added, productivity by sex and productivity. Assignment: Calculations and applications related to different employment indicators
Week 7 - Theoretical
Investments Incident analysis: Fixed capital investments, land investments, building investments, machinery and equipment investments and profitability analysis
Week 8 - Theoretical
Investments Incident analysis: Fixed capital investments, land investments, building investments, machinery and equipment investments and profitability analysis
Week 9 - Theoretical
Introduction to Eviews, Basic Econometric Revision
Week 10 - Theoretical
Simple and Multiple Regression, Constraint and Diagnostic Tests
Week 11 - Theoretical
Stability
Week 12 - Theoretical
Cointegration, Structural Fracture Tests
Week 13 - Theoretical
Granger Causality, Vector Autoregression
Week 14 - Theoretical
Time Series Models, Model Selection Criteria
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory143384
Laboratory42320
Midterm Examination1819
Final Examination111112
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
OÇ-1
5
4
5
4
3
5
4
OÇ-2
5
4
3
3
4
3
4
OÇ-3
4
4
5
4
5
4
3
OÇ-4
3
3
3
3
3
3
3
OÇ-5
4
2
4
2
4
4
4
Adnan Menderes University - Information Package / Course Catalogue
2026