Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 1 / Fall Semester | ||||
| Level of Course | 1st Cycle Degree Programme | ||||
| Type of Course | Optional | ||||
| Department | ECONOMICS (PhD) | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | SERDAR ÖZTÜRK (serdarozturk@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| To introduce the structure of economic series, the computer environment Box-Jenkins approach and estimate future prediction by applying various techniques to gain the predictive accuracy of benchmarking skills. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | can describe time series |
PO-10 have ability on modeling the economic theories mathematically. PO-11 have ability on defining economic variables and comment on the relationships between these variables. |
Examination |
| LO-2 | can use time series techniques in economic applications. |
PO-8 have ability on working with quantitative data about economics and using the tools about statistically data analysis. PO-10 have ability on modeling the economic theories mathematically. |
Performance Project |
| LO-3 | can make econometric applications |
PO-8 have ability on working with quantitative data about economics and using the tools about statistically data analysis. PO-10 have ability on modeling the economic theories mathematically. |
Laboratory Exam |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | The main thesis of economic theory takes a quantitative approach. | Explanation |
| 2 | Describing the econometric methodology and definitions related concepts | Explanation |
| 3 | Least squares regression analysis performs with. | Explanation |
| 4 | Single equation gives place to regression analysis and hypothesis testing by using the estimated regression tests. | Explanation |
| 5 | Performing predictions about the simultaneous equations | Explanation |
| 6 | Econometric software packages required for all analyzes (SPSS, EViews) is used for the purpose of application. | Explanation |
| 7 | Defining Econometric Modelling Stages | Explanation |
| 8 | mid-term exam | |
| 9 | Assumptions of Econometric tests | Explanation |
| 10 | The test problems with assumptions | Explanation |
| 11 | Using econometric techniques to solve quantitative problems | Explanation |
| 12 | Heteroscedasticity, presence of autocorrelation problem | Explanation |
| 13 | Interpreting the output of the analysis performed by software packages | Explanation |
| 14 | Making hypotheses on the estimated linear model parameter relating testing | Explanation |
| 15 | Making public significance tests on models and reviews | Explanation |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Walter Enders, Applied Econometric Time Series (Second Edition), Wiley. | |
| Required Course instruments and materials | ||
| Lesson book | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | 8 | 1 | 40 |
| Other assessment methods | |||
| 1.Oral Examination | |||
| 2.Quiz | |||
| 3.Laboratory exam | |||
| 4.Presentation | |||
| 5.Report | |||
| 6.Workshop | |||
| 7.Performance Project | |||
| 8.Term Paper | |||
| 9.Project | |||
| final exam | 16 | 1 | 60 |
| Student Work Load | |||
| Type of Work | Weekly Hours | Number of Weeks | Work Load |
| Weekly Course Hours (Theoretical+Practice) | 3 | 14 | 42 |
| Outside Class | |||
| a) Reading | 4 | 14 | 56 |
| b) Search in internet/Library | 3 | 11 | 33 |
| c) Performance Project | 0 | ||
| d) Prepare a workshop/Presentation/Report | 0 | ||
| e) Term paper/Project | 0 | ||
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 3 | 7 | 21 |
| mid-term exam | 1 | 1 | 1 |
| Own study for final exam | 3 | 7 | 21 |
| final exam | 1 | 1 | 1 |
| 0 | |||
| 0 | |||
| Total work load; | 175 | ||