IEM742 Dynamic Panel Data Models II

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code IEM742
Name Dynamic Panel Data Models II
Semester . Semester
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. 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

Have taken at least two graduate-level econometrics courses and be familiar with dynamic panel data models.

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 Explains contemporary concepts about Econometrics, Statistics, and Operation Research 5
PLO02 Bilgi - Kuramsal, Olgusal Explains relationships between acquired knowledge about Econometrics, Statistics, and Operation Research 4
PLO03 Bilgi - Kuramsal, Olgusal Explains how to apply acquired knowledge in the field to Economics, Business, and other social sciences 5
PLO04 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems 4
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics 5
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 5
PLO07 Beceriler - Bilişsel, Uygulamalı Synthesizes the information obtained by using different sources within the framework of academic rules in a field that does not research 5
PLO08 Beceriler - Bilişsel, Uygulamalı Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution 4
PLO09 Beceriler - Bilişsel, Uygulamalı Searches for new approaches and methods to solve problems being faced 3
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently 5
PLO11 Beceriler - Bilişsel, Uygulamalı Collects/analyzes data in a purposeful way
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Converts its findings into a master's thesis or a professional report in Turkish or a foreign language 5
PLO13 Beceriler - Bilişsel, Uygulamalı Develops solutions for organizations using Econometrics, Statistics, and Operation Research 3
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team
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 a package program of Econometrics, Statistics, and Operation Research or writes a new code 4
PLO18 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
PLO19 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on economic and social events by following current issues
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values


Week Plan

Week Topic Preparation Methods
1 Review of fundamentals Related readings Öğretim Yöntemleri:
Anlatım
2 Dynamic panel data, review Related readings Öğretim Yöntemleri:
Anlatım
3 Panel unit root tests -review Related readings Öğretim Yöntemleri:
Anlatım
4 Panel unit root tests -application Related readings Öğretim Yöntemleri:
Alıştırma ve Uygulama
5 Panel cointegration tests -inference Related readings Öğretim Yöntemleri:
Anlatım
6 Panel cointegration tests -review Related readings Öğretim Yöntemleri:
Anlatım
7 Review Related readings Öğretim Yöntemleri:
Alıştırma ve Uygulama
8 Midterm exam Related readings Ölçme Yöntemleri:
Yazılı Sınav
9 Introduction to Panel error correction models Related readings Öğretim Yöntemleri:
Anlatım
10 Panel error correction models Related readings Öğretim Yöntemleri:
Anlatım
11 Introduction to Pooled mean group estimators Related readings Öğretim Yöntemleri:
Anlatım
12 Pooled mean group estimators Related readings Öğretim Yöntemleri:
Anlatım
13 Introduction to Modeling panel data with small T Related readings Öğretim Yöntemleri:
Anlatım
14 Modeling panel data with small T Related readings Öğretim Yöntemleri:
Anlatım
15 Bias and its solution Related readings Öğretim Yöntemleri:
Anlatım
16 General Overview Related readings Öğretim Yöntemleri:
Tartışma, Alıştırma ve Uygulama, Soru-Cevap
17 Final exam Related readings Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
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) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS