Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 1 / Spring 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 | EBRU TOPCU (ebruerdogan@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| This course aims to teach students basic econometric methods related panel data. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Can analyse panel data using appropriate techniques. |
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. PO-11 have ability on defining economic variables and comment on the relationships between these variables. |
Examination |
| LO-2 | Have a better understanding of econometric techniques, particularly those used in with panel data. |
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. PO-11 have ability on defining economic variables and comment on the relationships between these variables. |
Examination |
| LO-3 | Can make oral presentations of panel data work. |
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. PO-11 have ability on defining economic variables and comment on the relationships between these variables. |
Examination |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| This course provides an up-to-date coverage of the variouse conometric issues that arise in the analysis of dynamic panel data models. | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | SURE Modelling | Explanation (Application) |
| 2 | SURE Modelling | Explanation (Application) |
| 3 | Static Panel Data Modelling | Explanation (Application) |
| 4 | Static Panel Data Modelling | Explanation (Application) |
| 5 | Dynamic Panel Data Modelling | Explanation (Application) |
| 6 | Dynamic Panel Data Modelling | Explanation (Application) |
| 7 | Heterogeneous Slope Models | Explanation (Application) |
| 8 | mid-term exam | |
| 9 | Heterogeneous Slope Models | Explanation (Application) |
| 10 | Panel Data Cointegration | Explanation (Application) |
| 11 | Panel Data Cointegration | Explanation (Application) |
| 12 | Modelling Cross-SectionCorellation: Factor Models | Explanation (Application) |
| 13 | Modelling Cross-Section Corellation: Factor Models | Explanation (Application) |
| 14 | Modelling Cross-Section Corellation: New Techniques | Explanation (Application) |
| 15 | Modelling Cross-Section Corellation: New Techniques | Explanation (Application) |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Badi H. Baltagi - Econometric Analysis of Panel Data | |
| 2 | D. N. Gujarati (2002)- Basic Econometrics, McGraw-Hill | |
| Required Course instruments and materials | ||
| Books and Programs | ||
| 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 | 5 | 10 | 50 |
| 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 | 6 | 18 |
| mid-term exam | 1 | 1 | 1 |
| Own study for final exam | 4 | 6 | 24 |
| final exam | 1 | 1 | 1 |
| 0 | |||
| 0 | |||
| Total work load; | 169 | ||