International Trade and Logistics (English)
Course Details
KTO KARATAY UNIVERSITY
İktisadi, İdari ve Sosyal Bilimler Fakültesi
Programme of International Trade and Logistics (English)
Course Details
İktisadi, İdari ve Sosyal Bilimler Fakültesi
Programme of International Trade and Logistics (English)
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 04940002 | Econometrics | 2 | Spring | 4 | 3+0+0 | 6 | 6 |
| Course Type | Compulsory |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | English |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Asst. Prof. Ayşegül UÇKUN ÖZKAN |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Ayşegül UÇKUN ÖZKAN | C BLOK-C202 | [email protected] | 7366 |
Course Content
The content of the course includes econometric approach, econometric models and techniques, simple linear regression analysis, regression model assumptions, least squares method, properties of ordinary least
squares estimators, functional forms of regression models, multicollinearity, variance and collinearity problems in regression models.
squares estimators, functional forms of regression models, multicollinearity, variance and collinearity problems in regression models.
Objectives of the Course
The aim of the course is to discuss econometric models from a theoretical point of view and to apply them to economic case studies using computer software, and to provide information about the methods used
in the empirical testing of economic hypotheses.
in the empirical testing of economic hypotheses.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | |
| Support Courses | X |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P8 | To be able to access different information sources and make quantitative and qualitative analyzes by using software related to the field of international trade and logistics. | 3 |
| P3 | To be able to make evaluations and express opinions on economic, administrative, financial and commercial issues. | 5 |
| P2 | To be able to conduct scientific research in the field of International Trade and Logistics, including problem identification, data collection, analysis and reporting processes, and to be able to transfer the findings in written and oral form. | 3 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Students will be able to select appropriate statistical methods for a research problem and develop an analysis plan. | P.8.2 | 1 |
| O2 | Students will be able to critically evaluate the results of statistical analyses and discuss the validity of the findings. | P.8.3 | 1 |
| O3 | Students will be able to develop their own statistical projects using collected data and present their findings. | P.8.4 | 1 |
| O4 | Students learn the approaches to be used in testing economic hypotheses. | P.3.16 | 1 |
| O5 | Students gain the ability to make econometric analysis. | P.2.7 | 1 |
| O6 | Students can understand the findings of research involving econometric analysis. | P.2.8 | 1 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Giving information about the process and the scope of the course, econometric approach, econometric models and techniques |
| 2 | Linear regression model and estimation |
| 3 | Least squares method and coefficient of determination |
| 4 | Measures of goodness of fit (AIC, SIC, Adjusted R-squared) |
| 5 | R-squared and adjusted-R-squared |
| 6 | Function structures of the regression model |
| 7 | General revision |
| 8 | Mid-Term Exam |
| 9 | Regression diagnoistics I: Multicollinearity |
| 10 | Regression diagnoistics II: Heteroscedasticity |
| 11 | Regression diagnoistics III: Autocorrelation |
| 12 | Regression diagnoistics IV: Model specification errors |
| 13 | Regression diagnoistics IV continued: Simultaneity problem |
| 14 | Stationary and non-stationary time series (Stationarity tests and cointegration test) |
| 15 | VAR Model |
Textbook or Material
| Resources | Damodar Gujarati Econometrics by Example – (Örneklerle Damodar Gujarati Ekonometri). ISBN: 9786059802086, 2nd Edition, 2018., |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Field Study | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Seminar | - | - |
| Quiz | - | - |
| Listening | - | - |
| Midterms | 1 | 40 (%) |
| Final Exam | 1 | 60 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 3 | 42 |
| Midterms | 1 | 14 | 14 |
| Quiz | 0 | 0 | 0 |
| Homework | 2 | 6 | 12 |
| Practice | 2 | 6 | 12 |
| Laboratory | 2 | 6 | 12 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 2 | 5 | 10 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 30 | 30 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 174 | ||
| Total Work Load / 30 | 5,80 | ||
| Course ECTS Credits: | 6 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P2 | P3 | P8 |
|---|---|---|---|---|
| O1 | Students gain the ability to make econometric analysis. | 3 | - | - |
| O2 | Students can understand the findings of research involving econometric analysis. | 3 | - | - |
| O3 | Students learn the approaches to be used in testing economic hypotheses. | - | 5 | - |
| O4 | Students will be able to select appropriate statistical methods for a research problem and develop an analysis plan. | - | - | 3 |
| O5 | Students will be able to critically evaluate the results of statistical analyses and discuss the validity of the findings. | - | - | 3 |
| O6 | Students will be able to develop their own statistical projects using collected data and present their findings. | - | - | 3 |