IEM741 Dynamic Panel Data Models I

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

Information

Code IEM741
Name Dynamic Panel Data Models I
Term 2023-2024 Academic Year
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 / Objective

The aim of the course is to enable students to comprehend the panel unit root and panel cointegration issues and make applications related to these topics.

Course Content

This course introduces some advanced topics in panel data. After review of some fundamentals related to panel data, panel unit root and panel cointegration topics will be discussed.

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 fundementals of panel data
LO02 Learns how to apply panel unit root tests
LO03 Learns how to apply panel cointegration tests
LO04 Performs diagnostic tests in panel data analysis.
LO05 Evaluates economically the results of the 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 3
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 3
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 Intorduction to fundamentals related to panel data Related readings Öğretim Yöntemleri:
Anlatım
2 Review of fundamentals related to panel data Related readings Öğretim Yöntemleri:
Anlatım
3 Solving examples about panel data Related readings Öğretim Yöntemleri:
Alıştırma ve Uygulama
4 Review of fundamentals related to dynamic panel data Related readings Öğretim Yöntemleri:
Anlatım
5 Introduction to Panel unit root approach Related readings Öğretim Yöntemleri:
Anlatım
6 Panel unit root approaches Related readings Öğretim Yöntemleri:
Anlatım
7 Introduction to Panel unit root tests Related readings Öğretim Yöntemleri:
Anlatım
8 Midterm Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Panel unit root tests Related readings Öğretim Yöntemleri:
Anlatım
10 Application of Panel cointegration tests Related readings Öğretim Yöntemleri:
Alıştırma ve Uygulama
11 Introduction to IPS Panel unit root test Related readings Öğretim Yöntemleri:
Anlatım
12 IPS Panel unit root test, application Related readings Öğretim Yöntemleri:
Alıştırma ve Uygulama
13 Intorduction to LL panel unit root test Related readings Öğretim Yöntemleri:
Anlatım
14 LL panel unit root test, application Related readings Öğretim Yöntemleri:
Alıştırma ve Uygulama
15 Introduction to Panel cointegration approach Related readings Öğretim Yöntemleri:
Anlatım
16 Review 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

Update Time: 11.05.2023 04:37