IEM750 Panel Data Analysis II

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

Information

Unit INSTITUTE OF SOCIAL SCIENCES
ECONOMETRICS (MASTER) (WITH THESIS)
Code IEM750
Name Panel Data Analysis II
Term 2024-2025 Academic Year
Term Fall and Spring
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
Course Instructor Doç. Dr. HALİL İBRAHİM KESKİN (Güz) (A Group) (Ins. in Charge)
Doç. Dr. HALİL İBRAHİM KESKİN (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

It is aimed that students learn Panel Data Analysis methods and can apply these methods with economic examples.

Course Content

This course covers the theoretical and applied aspects of panel data models in a comprehensive manner. It mainly covers panel data structure, fixed and random effects model estimation methods. It also details macro panel data analysis (panel unit root tests, panel cointegration analysis). It covers testing of assumptions and robust estimators in case of deviations from assumptions and their applications.

Course Precondition

No prerequisites

Resources

Raj, B., & Baltagi, B. H. (Eds.). (2012). Panel data analysis. Springer Science & Business Media.

Notes

Related Articles and data sets


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains the basic methods of panel data analysis
LO02 Students estimate the basic panel data models
LO03 Students learn the fundamental panel methods of discrete and limited dependent variables
LO04 Estimates basic econometric models related to discrete and limited dependent variable models
LO05 Economically interprets the panel data models it estimates
LO06 Performing panel unit root tests
LO07 The panel can perform cointegration analysis.
LO08 Explain and estimate panel models with limited dependent variables


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explains contemporary concepts about Econometrics, Statistics, and Operation Research 4
PLO02 Bilgi - Kuramsal, Olgusal Explains relationships between acquired knowledge about Econometrics, Statistics, and Operation Research 3
PLO03 Bilgi - Kuramsal, Olgusal Explains how to apply acquired knowledge in the field to Economics, Business, and other social sciences
PLO04 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems 3
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics 4
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 3
PLO07 Beceriler - Bilişsel, Uygulamalı Synthesizes the information obtained by using different sources within the framework of academic rules in a field of research 2
PLO08 Beceriler - Bilişsel, Uygulamalı Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution
PLO09 Beceriler - Bilişsel, Uygulamalı Searches for new approaches and methods to solve problems being faced
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently 4
PLO11 Beceriler - Bilişsel, Uygulamalı Collects/analyzes data in a purposeful way 4
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Converts its findings into a master's thesis or a professional report in Turkish or a foreign language
PLO13 Beceriler - Bilişsel, Uygulamalı Develops solutions for organizations using Econometrics, Statistics, and Operation Research
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 an individual work to solve a problem with Econometrics, Statistics, and Operation Research
PLO16 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team
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 Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form 4
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 Unbalanced Panels Reading the relevant section from the source books on Unbalanced Panels Öğretim Yöntemleri:
Anlatım
2 reflexive panel Reading the relevant section from the source books on Reflexive Panels Öğretim Yöntemleri:
Anlatım, Soru-Cevap
3 Pseudo Panels Reading the relevant section from the source books on Artificial Panels Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
4 Heterogeneous Panels Reading the relevant section from the source books on Heterogeneous Panels Öğretim Yöntemleri:
Anlatım, Grup Çalışması
5 Random Coefficient Models Reading the relevant section from the source books on the Random Coefficients Model Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
6 Seemingly Unrelated Regression Reading the relevant section from the source books on Apparently Unrelated Regression Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
7 Models for Limited dependent variables Reading the relevant section from the source books on Panel Data Models with Limited Dependent Variables Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma
8 mid-term exam reviewing the topics Ölçme Yöntemleri:
Yazılı Sınav
9 Panel unit root tests Reading the relevant section from the source books on Panel Unit Root Tests and reading related articles Öğretim Yöntemleri:
Anlatım, Bireysel Çalışma
10 first generation panel unit root Reading the relevant section from the source books on First Generation Panel Unit Root Tests Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma, Alıştırma ve Uygulama
11 second generation panel unit root Reading the relevant section from the source books on Second Generation Panel Unit Root Tests Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
12 Application of panel unit root readings and data prepairing Öğretim Yöntemleri:
Alıştırma ve Uygulama, Gösterip Yaptırma, Proje Temelli Öğrenme
13 Panel Coentegration Reading the relevant section from the source books on Panel Cointegration Tests Öğretim Yöntemleri:
Anlatım, Soru-Cevap
14 Tests of panel coentegration readings and data analysis Öğretim Yöntemleri:
Alıştırma ve Uygulama, Gösterip Yaptırma, Problem Çözme
15 Short and long run estimator Reading the relevant section from the source books on Short and Long Term Forecasters Öğretim Yöntemleri:
Anlatım, Tartışma, Gösterip Yaptırma, Proje Temelli Öğrenme
16 Final Assignment reading and data analysis Ölçme Yöntemleri:
Ödev
17 Final exam reviewing the topics Ölçme Yöntemleri:
Ödev, 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: 27.02.2025 06:25