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| Year/Semester of Study | 3 / Spring Semester | ||||
| Level of Course | 1st Cycle Degree Programme | ||||
| Type of Course | Compulsory | ||||
| Department | ECONOMICS | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | ANIL BÖLÜKOĞLU (anil.bolukoglu@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| It is aimed to learn to student that how micro and macro models are commented. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Use models for panel data. |
PO-8 have ability on working with quantitative data about economics and using the tools about statistically data analysis. |
Examination |
| LO-2 | Use simultaneous equation models, identification, and the indirect and twostep least squares methods; dynamic models with timedelayed explanatory variables; Granger causality test. |
PO-4 have theoretical and empirical information to analyze how to authorities, consumers and firms effect each other and how to make decision. |
Examination |
| LO-3 | Estimate nonlinear models. |
PO-10 have ability on modeling the economic theories mathematically. |
Presentation |
| LO-4 | Select and apply appropriate statistical models pertaining to various subject areas in economics. |
PO-11 have ability on defining economic variables and comment on the relationships between these variables. |
Performance Project |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| Multivariate regression models and clasical asumptions about econometrics, econometric problems such as: serial correlation, Heteroskedasticity and functional form. | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Problem for forecasting | Given a presentation and then lead discussion |
| 2 | Linear regression model | Given a presentation and then lead discussion |
| 3 | Matrix Approach | Given a presentation and then lead discussion |
| 4 | Multiple linear connection | Given a presentation and then lead discussion |
| 5 | Heteroscedasticity | Given a presentation and then lead discussion |
| 6 | Serial correlation I | Given a presentation and then lead discussion |
| 7 | Serial correlation II | Given a presentation and then lead discussion |
| 8 | mid-term exam | |
| 9 | Modelling | Given a presentation and then lead discussion |
| 10 | Dummy Variables | Given a presentation and then lead discussion |
| 11 | Linear probability model | Given a presentation and then lead discussion |
| 12 | Probit model | Given a presentation and then lead discussion |
| 13 | AR model | Given a presentation and then lead discussion |
| 14 | Lag models I | Given a presentation and then lead discussion |
| 15 | Lag models II | Given a presentation and then lead discussion |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Basic Econometrics , Damodar N. Gujarati, 3. Baskı | |
| Required Course instruments and materials | ||
| course 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 | 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 | ||