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| Unit | INSTITUTE OF SOCIAL SCIENCES |
| ECONOMETRICS (PhD) | |
| Code | IEM1822 |
| Name | Dynamic Panel Data Models II |
| 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
The objective of this course is to internalize panel unit root and panel cointegration topics, analyze panel error correction models and pooled mean group estimators, understand panel data modeling under small T, bias and its solution, and apply these concepts in practice.
Course Content
In this course, the fundamentals of panel data and a review of panel unit root and panel cointegration topics are covered; panel error correction models, pooled mean group estimators, and the introduction of bias and its solution in panel data modeling under small T are discussed.
Course Precondition
At least two econometrics courses at the graduate level.
Resources
Baum, C. F. (2020). Dynamic panel data models. SAGE Publications Limited.
Notes
Yerdelen Tatoğlu, F. (2024). Panel zaman serileri analizi. Beta Yayınevi.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Understands the fundemantals of panel data analysis |
| LO02 | Apply the panel unit root tests |
| LO03 | Do the analysis of panel cointegration |
| LO04 | Evaluates the results of panel data analysis. |
| LO05 | Do the dynamic panel data analysis |
| LO06 | Applies panel error correction models. |
| LO07 | Uses pooled mean group estimators. |
| LO08 | Performs panel data modeling under small T. |
| LO09 | Explains bias and solution methods in panel data analysis. |
| LO10 | Compares different methods used in panel data analysis. |
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 | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Develops new knowledge using current concepts in Econometrics, Statistics and Operations Research | 4 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Explain for what purpose and how econometric methods are applied to other fields and disciplines | 5 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Using her knowledge, brings original solutions to problems in Economics, Business Administration and other social sciences | 4 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Creates a new model using mathematics, statistics and econometrics knowledge to solve the problem encountered | 5 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Interprets the results obtained from the most appropriate method to predict the model | 5 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Performs conceptual analysis to develop solutions to problems | 5 |
| 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 | 5 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Converts its findings into a master's thesis or a professional report in Turkish or a foreign language | |
| PLO12 | Beceriler - Bilişsel, Uygulamalı | It researches current approaches and methods to solve the problems it encounters and proposes new solutions | 5 |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Develops long-term plans and strategies using econometric and statistical methods | 3 |
| PLO14 | Beceriler - Bilişsel, Uygulamalı | Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research | |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs self-study using knowledge of Econometrics, Statistics and Operations to solve a problem | |
| PLO16 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads the team by taking responsibility | |
| 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 | |
| PLO18 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution | 4 |
| 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 | |
| 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 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Review of fundamentals | Reading Assignments | Öğretim Yöntemleri: Tartışma |
| 2 | Dynamic panel data, review | Reading Assignments | Öğretim Yöntemleri: Tartışma |
| 3 | Panel unit root tests -review | Reading Assignments | Öğretim Yöntemleri: Tartışma |
| 4 | Panel unit root tests, application | Reading Assignments | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 5 | Panel unit root tests, inference | Reading Assignments | Öğretim Yöntemleri: Anlatım |
| 6 | Panel cointegration tests -review | Reading Assignments | Öğretim Yöntemleri: Tartışma |
| 7 | Review | Reading Assignments | Öğretim Yöntemleri: Tartışma |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | Panel cointegration tests, application | Reading Assignments | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 10 | Panel error correction models | Reading Assignments | Öğretim Yöntemleri: Anlatım |
| 11 | Pooled mean group estimators | Reading Assignments | Öğretim Yöntemleri: Anlatım |
| 12 | Application with Pooled mean group estimators | Reading Assignments | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 13 | Modeling panel data with small T | Reading Assignments | Öğretim Yöntemleri: Anlatım |
| 14 | Application by Modeling panel data with small T | Reading Assignments | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 15 | Bias and its solution | Reading Assignments | Öğretim Yöntemleri: Anlatım |
| 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) | 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 | ||