Nevşehir Hacı Bektaş Veli University Course Catalogue
|
|||||
| Year/Semester of Study | 4 / Fall Semester | ||||
| Level of Course | 1st Cycle Degree Programme | ||||
| Type of Course | Optional | ||||
| Department | ECONOMICS | ||||
| 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 | |||||
| This course is an introduction the econometric analysis of time series. Previous exposition to an introductory econometrics course is assumed, but the material is designed to be as selfcontained as possible. The focus of the class is mostly empirical. The student will be asked to apply his/her knowledge of the topics to real data on a weekly basis, and carry out a research project on a topic of his/her choice. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | can define time series. |
PO-4 have theoretical and empirical information to analyze how to authorities, consumers and firms effect each other and how to make decision. PO-8 have ability on working with quantitative data about economics and using the tools about statistically data analysis. |
Examination |
| LO-2 | can employ time series in 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. |
Examination |
| LO-3 | can conduct an econometric study. |
PO-8 have ability on working with quantitative data about economics and using the tools about statistically data analysis. |
Examination |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
|||
| Course Contents | ||
| The class covers the theory behind a variety of topics in time series econometrics, and introduces the student to a large number of time series applications. Class exposition is evenly divided between theory and applications, but applications are given priority in assignements and exams. After a brief review of statistical and econometric basics, we discuss the use of difference equations and lag operators. Stationary ARMA models are covered in great detail, and so are ARCH, GARCH, and VAR techniques. The student is also exposed to nonstationary time series, unit roots, and ARIMA models. The class ends with discussions on cointegration and forecasting. | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Review of statistical concepts and regression basics | Lecturing and discussion |
| 2 | Difference equations, lag operators | Lecturing and discussion |
| 3 | Foundations of time series econometrics | Lecturing and discussion |
| 4 | Topics in Linear Regression | Lecturing and discussion |
| 5 | ARMA Modeling 1 | Lecturing and discussion |
| 6 | ARMA Modeling 2 | Lecturing and discussion |
| 7 | ARMA Modeling 3 | Lecturing and discussion |
| 8 | mid-term exam | |
| 9 | Nonstationarity, unit roots, and ARIMA Models | Lecturing and discussion |
| 10 | Autoregressive conditional heteroscedasticity: ARCH and GARCH models | Lecturing and discussion |
| 11 | Stationary vector models: VAR pt. 1 | Lecturing and discussion |
| 12 | Stationary vector models: VAR pt. 2 | Lecturing and discussion |
| 13 | Cointegration and common trends | Conducting an analysis |
| 14 | Forecasting with time series | Conducting an analysis |
| 15 | Additional topic (optional and time permitting) | Conducting an analysis |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Walter Enders, Applied Econometric Time Series (Second Edition), Wiley. | |
| Required Course instruments and materials | ||
| 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 | 6 |
| 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 | 2 | 14 | 28 |
| b) Search in internet/Library | 0 | ||
| 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; | 114 | ||