
| Course Code | : MHY523 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 5 |
This course aims to teach the basic theories and applications of time series econometric techniques in the field of public finance and to provide the ability to evaluate public finance data (tax revenues, public expenditures, budget deficit) by time series analyses. It aims to provide master's students with the ability to analyse and interpret fiscal policies with time series methods.
The course covers the theoretical and analytical foundations of time series econometrics for its main applications in public finance. It analyses the properties of time series data and their importance in public finance data. It deals with the application of stationarity and unit root tests to public finance data. Analyses the effects of public finance policies with VAR models. It provides the opportunity to test the theoretical approaches in public finance science with the help of causality tests. Discusses time series analyses with public finance data in Turkey. Analyses time series applications with global public finance data. Evaluates the effects of time series analyses on fiscal policies.
| 1. | To have advanced theoretical and practical knowledge in the field of finance, economics and public policy |
| 2. | Makes comparative analyses of different schools of economics and fiscal approaches |
| 3. | Analyses the discipline of finance from an interdisciplinary perspective by associating it with fields such as law, economics, public administration, business administration and accounting. |
| 4. | Analyses the numerical and statistical data obtained in the field of Finance by using contemporary communication tools, methods and processes |
| 5. | To be aware of the necessity of lifelong learning and to evaluate the current developments in the field |
| 1. | Wooldridge, J. M. — Introductory Econometrics: A Modern Approach |
| 2. | Gujarati, D. N. — Basic Econometrics |
| 3. | Cameron, A. C. & Trivedi, P. K. — Microeconometrics: Methods and Applications |
| 4. | Uygulamalarla Mikroekonometri, Editörler Şenay Üçdoğruk Birecikli, Seda Şengül Yayınevi Nobel Akademik Yayıncılık |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %30 |
| Final Examination | 1 | %70 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 4 | 3 | 98 |
| Midterm Examination | 1 | 11 | 1 | 12 |
| Final Examination | 1 | 11 | 1 | 12 |
| TOTAL WORKLOAD (hours) | 122 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | |
OÇ-1 | 4 | 5 | 4 | 5 | 4 | 5 | 4 | 5 | 4 |
OÇ-2 | 5 | 5 | 4 | 5 | 4 | 5 | 4 | 5 | 4 |
OÇ-3 | 5 | 4 | 5 | 4 | 5 | 4 | 5 | 4 | 5 |
OÇ-4 | 5 | 5 | 4 | 4 | 5 | 5 | 4 | 5 | 5 |
OÇ-5 | 5 | 4 | 5 | 4 | 5 | 4 | 5 | 4 | 5 |