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| Unit | INSTITUTE OF SOCIAL SCIENCES |
| ECONOMETRICS (PhD) | |
| Code | IEM1805 |
| Name | Panel Data Analysis I |
| Term | 2024-2025 Academic Year |
| Term | Fall and Spring |
| Duration (T+A) | 4-0 (T-A) (17 Week) |
| ECTS | 8 ECTS |
| National Credit | 4 National Credit |
| Teaching Language | Türkçe |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. KENAN LOPCU |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
It is aimed that students learn the basic econometric methods of Panel Data Analysis and can use these methods with economic applications.
Course Content
The basic concepts used in panel data analysis are explained. Panel data models are introduced. In addition to covering the basic panel data estimation methods and their applications, the course includes the necessary tests for model selection at each stage and their applications.
Course Precondition
No prerequisites
Resources
Raj, B., & Baltagi, B. H. (Eds.). (2012). Panel data analysis. Springer Science & Business Media. Yerdelen Tatoğlu, F. (2013). Panel veri ekonometrisi: Stata uygulamalı. Baskı, İstanbul, Beta Yayınları. Hsiao, C. (2022). Analysis of panel data. Cambridge university press. Raj, B., & Baltagi, B. H. (Eds.). (2012). Panel data analysis. Springer Science & Business Media. Tatoğlu, F. Y. (2012). Panel veri ekonometrisi. Beta Yayınevi.
Notes
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Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains the basic concepts of Panel Data Analysis. |
| LO02 | Explain the features of basic panel econometric models |
| LO03 | Gain the ability to forecast panel econometric models. |
| LO04 | Gain the ability to economically interpret estimated panel econometric models. |
| LO05 | It provides the ability to test for violations of the assumptions of panel estimators. |
| LO06 | Acquire the ability to use methods and techniques to correct violations of the assumptions of panel estimators. |
| LO07 | Gain the ability to estimate the fixed effects model with alternative estimators. |
| LO08 | Gain the ability to estimate the random effects model with alternative estimators. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Identify an econometric problem and propose a new solution to it | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Develops new knowledge using current concepts in Econometrics, Statistics and Operations Research | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Explain for what purpose and how econometric methods are applied to other fields and disciplines | 3 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Using her knowledge, brings original solutions to problems in Economics, Business Administration and other social sciences | 3 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Creates a new model using mathematics, statistics and econometrics knowledge to solve the problem encountered | 4 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Interprets the results obtained from the most appropriate method to predict the model | 4 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Performs conceptual analysis to develop solutions to problems | 3 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Collects data on purpose | 4 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Synthesizes the information obtained by using different sources within the framework of academic rules in a field of research | 3 |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Presents analysis results conveniently | 4 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Converts its findings into a master's thesis or a professional report in Turkish or a foreign language | 3 |
| PLO12 | Beceriler - Bilişsel, Uygulamalı | It researches current approaches and methods to solve the problems it encounters and proposes new solutions | 2 |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Develops long-term plans and strategies using econometric and statistical methods | 4 |
| PLO14 | Beceriler - Bilişsel, Uygulamalı | Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research | 4 |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs self-study using knowledge of Econometrics, Statistics and Operations to solve a problem | 4 |
| PLO16 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads the team by taking responsibility | 3 |
| PLO17 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in the field of study | 2 |
| PLO18 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution | 3 |
| PLO19 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form | 3 |
| PLO20 | Yetkinlikler - Alana Özgü Yetkinlik | Applies social, scientific and professional ethical values | |
| PLO21 | Yetkinlikler - Alana Özgü Yetkinlik | Interprets data on economic and social events by following current issues | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | The basic concept of panel data econometrics | Reads the basic concepts section from the panel data econometrics book | Öğretim Yöntemleri: Anlatım, Tartışma |
| 2 | Panel data models 1 | Reading sections on panel data models from source books | Öğretim Yöntemleri: Anlatım, Tartışma |
| 3 | Panel data models 2 | Reading sections on panel data models from source books | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap |
| 4 | Estimation of panel data models | Reading sections on estimation of panel data models from source books | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Soru-Cevap |
| 5 | Pooled Least Squares Method | Reading the sections on Pooled Least Squares Method from source books | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Problem Çözme |
| 6 | First Difference Estimator | Reading the sections on the First Difference Estimator from the source books | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Problem Çözme |
| 7 | Within Estimator | Reading the sections related to the Intragroup Estimator from source books | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Problem Çözme |
| 8 | mid-term exam | reviewing the topics | Ölçme Yöntemleri: Ödev, Yazılı Sınav |
| 9 | Between Estimator | Reading the sections on the Intergroup Estimator from source books | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 10 | The maximum likelihood estimator of the fixed effects model | Reading the sections on the maximum likelihood estimator of the fixed effects model from source books | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Problem Çözme |
| 11 | Random effects model | Reading sections on the random effects model from source books | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 12 | Generalized least squares method | Reading the sections on the generalized least squares method from source books | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Problem Çözme |
| 13 | Testing assumptions about panel data models | Reading sections on testing assumptions about panel data models from source books | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Problem Çözme, Proje Temelli Öğrenme |
| 14 | Heterogeneity tests for panel data models | Reading sections on heterogeneity tests from source books | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Gösterip Yaptırma |
| 15 | Cross-section dependency tests for panel data models | Reading the sections on cross-sectional dependency tests from source books | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Proje Temelli Öğrenme |
| 16 | Relaxing the assumptions about panel data models | Reading and problem set | Ölçme Yöntemleri: Ödev |
| 17 | Final exam | reviewing the topics | Ölçme Yöntemleri: Yazılı Sınav, Ödev |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 4 | 56 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 8 | 112 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 2 | 4 | 8 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 24 | 24 |
| Total Workload (Hour) | 212 | ||
| Total Workload / 25 (h) | 8,48 | ||
| ECTS | 8 ECTS | ||