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Information
| Code | IEM1822 |
| Name | Dynamic Panel Data Models II |
| Semester | . Semester |
| 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 Goal
Strengthening students' background on panel unit root, and panel cointegration tests. Introducing, panel error correction models, pooled mean group estimators, panel data modeling in case of small T, bias, and its solution, and applying these subjects in research.
Course Content
Review of the fundamentals of panel data and panel unit root and panel cointegration issues. Introducing panel error correction models, pooled mean group estimators, and panel data modeling in the case of Small T and bias and its solution.
Course Precondition
At least two econometrics courses at the graduate level.
Resources
Dynamic Panel Data Models, Christopher F. Baum, SAGE Publications Limited, 2020.
Notes
Lecture Notes
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 |
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 that does not 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 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs self-study using knowledge of Econometrics, Statistics and Operations to solve a problem | |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads the team by taking responsibility | |
| PLO16 | 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 | |
| PLO17 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution | 4 |
| PLO18 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code | |
| 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 | Overall Review | Reading Assignments | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 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 | ||