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Information
| Unit | INSTITUTE OF SOCIAL SCIENCES |
| PUBLIC FINANCE (MASTER) (WITH THESIS) | |
| Code | PF705 |
| Name | Econometric Applications in Public Finance-II |
| Term | 2025-2026 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. HAŞİM AKÇA |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
This course aims to teach the theoretical foundations and applications of panel data econometric techniques in the field of public finance; to provide the ability to analyse public finance data (tax burden, public expenditures, social indicators) with panel data models. It aims to provide master's students with the competence to evaluate fiscal policies with panel data techniques and to make comparative analyses.
Course Content
The course covers the theoretical and analytical foundations of panel data econometrics for applications in public finance. It examines the basic properties of panel data models and their importance in public finance data. It deals with horizontal cross-section dependence, heterogeneity, unit root, stationarity, cointegration, long-run estimation, causality, dynamic panel data, fixed and random effects methodologies in panel data analyses. It enables students to perform panel data applications with economic and public finance data.
Course Precondition
No prerequisites
Resources
Damodar N. Gujarati, Basic Econometrics, McGraw-Hill Education Jeffrey M. Wooldridge, Introductory Econometrics: A Modern Approach Badi H. Baltagi, Econometric Analysis of Panel Data, Wiley (panel veri teknikleri için) Yerdelen, F. (2020). Panel Veri Ekonometrisi Stata Uygulamalı. İstanbul, Beta Yayınevi.
Notes
Eviews 12, Gauss 10, Gauss 25, Gretl, Stata 17, Winrats 10 Package Programmes.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains the basic concepts and theoretical foundations of panel data econometrics. |
| LO02 | Apply panel data models to public finance data. |
| LO03 | Solves specific problems in panel data analyses. |
| LO04 | Performs analyses including cross-sectional dependence, heterogeneity, unit root, causality, cointegration and estimations with panel data techniques. |
| LO05 | Conducts panel data analyses with public finance and economic data. |
| LO06 | Interpret panel data results in terms of fiscal policies. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | To have advanced theoretical and practical knowledge in the field of finance, economics and public policy | 4 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Makes comparative analyses of different schools of economics and fiscal approaches | 4 |
| PLO03 | Bilgi - Kuramsal, Olgusal | 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 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Analyses the numerical and statistical data obtained in the field of Finance by using contemporary communication tools, methods and processes | 5 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | To be aware of the necessity of lifelong learning and to evaluate the current developments in the field | 3 |
| PLO06 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads academic or professional studies in the field of finance | |
| PLO07 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | To be able to produce effective solutions by transforming academic and professional knowledge into practical applications in the field of finance | 5 |
| PLO08 | Yetkinlikler - Öğrenme Yetkinliği | Evaluates the legislation by being aware of the legal regulations related to financial events | |
| PLO09 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses the necessary level of computer software and information and communication technologies in the professional field | 5 |
| PLO10 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | To be able to systematically transfer the original researches prepared in the field of finance to the groups in and out of the field in written, oral and visual form by using scientific research methods. | 4 |
| PLO11 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses Turkish and at least one foreign language in accordance with the requirements of academic life and business life | |
| PLO12 | Yetkinlikler - Alana Özgü Yetkinlik | To have social, scientific and ethical values in the stages of collecting, interpreting and announcing the data related to the field of finance. | 4 |
| PLO13 | Yetkinlikler - Alana Özgü Yetkinlik | To be aware of social, scientific and professional ethical values and to act accordingly | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to Panel Data Econometrics | Reading the relevant sections of the sources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Fixed/Random Effects and Dynamic Panel Data Models | Reading the relevant sections of the sources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 3 | Cross-Sectional Dependence and Homogeneity of Slope Coefficients | Reading the relevant sections of the sources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 4 | Stationarity and Unit Root Tests-I | Reading the relevant sections of the sources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 5 | Stationarity and Unit Root Tests-II | Reading the relevant sections of the sources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 6 | Cointegration Tests-I | Reading the relevant sections of the sources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 7 | Cointegration Tests-II | Reading the relevant sections of the sources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | Long Run Estimators-I | Reading the relevant sections of the sources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 10 | Long Run Estimators-II | Reading the relevant sections of the sources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 11 | Causality Tests-I | Reading the relevant sections of the sources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 12 | Causality Tests-II | Reading the relevant sections of the sources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 13 | Panel Data Analysis with Public Finance Data-I | Reading the relevant sections of the sources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 14 | Panel Data Analysis with Public Finance Data-II | Reading the relevant sections of the sources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 15 | Panel Data Analysis with Public Finance Data-III | Reading the relevant sections of the sources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
|
| 17 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 13 | 3 | 39 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 154 | ||
| Total Workload / 25 (h) | 6,16 | ||
| ECTS | 6 ECTS | ||