IEM1805 Panel Data Analysis I

8 ECTS - 4-0 Duration (T+A)- . Semester- 4 National Credit

Information

Unit INSTITUTE OF SOCIAL SCIENCES
ECONOMETRICS (PhD)
Code IEM1805
Name Panel Data Analysis I
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

It is aimed that students learn the basic econometric methods of Panel Data Analysis and can use these methods with economic applications.

Course Content

The basic concepts used in panel data analysis are explained. Panel data models are introduced. In addition to covering the basic panel data estimation methods and their applications, the course includes the necessary tests for model selection at each stage and their applications.

Course Precondition

No prerequisites

Resources

Raj, B., & Baltagi, B. H. (Eds.). (2012). Panel data analysis. Springer Science & Business Media. Yerdelen Tatoğlu, F. (2013). Panel veri ekonometrisi: Stata uygulamalı. Baskı, İstanbul, Beta Yayınları. Hsiao, C. (2022). Analysis of panel data. Cambridge university press. Raj, B., & Baltagi, B. H. (Eds.). (2012). Panel data analysis. Springer Science & Business Media. Tatoğlu, F. Y. (2012). Panel veri ekonometrisi. Beta Yayınevi.

Notes

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Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains the basic concepts of Panel Data Analysis.
LO02 Explain the features of basic panel econometric models
LO03 Gain the ability to forecast panel econometric models.
LO04 Gain the ability to economically interpret estimated panel econometric models.
LO05 It provides the ability to test for violations of the assumptions of panel estimators.
LO06 Acquire the ability to use methods and techniques to correct violations of the assumptions of panel estimators.
LO07 Gain the ability to estimate the fixed effects model with alternative estimators.
LO08 Gain the ability to estimate the random effects model with alternative estimators.


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 3
PLO02 Bilgi - Kuramsal, Olgusal Develops new knowledge using current concepts in Econometrics, Statistics and Operations Research 3
PLO03 Bilgi - Kuramsal, Olgusal Explain for what purpose and how econometric methods are applied to other fields and disciplines 3
PLO04 Beceriler - Bilişsel, Uygulamalı Using her knowledge, brings original solutions to problems in Economics, Business Administration and other social sciences 3
PLO05 Beceriler - Bilişsel, Uygulamalı Creates a new model using mathematics, statistics and econometrics knowledge to solve the problem encountered 4
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 4
PLO07 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems 3
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 4
PLO11 Beceriler - Bilişsel, Uygulamalı Converts its findings into a master's thesis or a professional report in Turkish or a foreign language 3
PLO12 Beceriler - Bilişsel, Uygulamalı It researches current approaches and methods to solve the problems it encounters and proposes new solutions 2
PLO13 Beceriler - Bilişsel, Uygulamalı Develops long-term plans and strategies using econometric and statistical methods 4
PLO14 Beceriler - Bilişsel, Uygulamalı Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research 4
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs self-study using knowledge of Econometrics, Statistics and Operations to solve a problem 4
PLO16 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads the team by taking responsibility 3
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 2
PLO18 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution 3
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 3
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 3


Week Plan

Week Topic Preparation Methods
1 The basic concept of panel data econometrics Reads the basic concepts section from the panel data econometrics book Öğretim Yöntemleri:
Anlatım, Tartışma
2 Panel data models 1 Reading sections on panel data models from source books Öğretim Yöntemleri:
Anlatım, Tartışma
3 Panel data models 2 Reading sections on panel data models from source books Öğretim Yöntemleri:
Anlatım, Tartışma, Soru-Cevap
4 Estimation of panel data models Reading sections on estimation of panel data models from source books Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma, Soru-Cevap
5 Pooled Least Squares Method Reading the sections on Pooled Least Squares Method from source books Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma, Problem Çözme
6 First Difference Estimator Reading the sections on the First Difference Estimator from the source books Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma, Problem Çözme
7 Within Estimator Reading the sections related to the Intragroup Estimator from source books Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma, Problem Çözme
8 mid-term exam reviewing the topics Ölçme Yöntemleri:
Ödev, Yazılı Sınav
9 Between Estimator Reading the sections on the Intergroup Estimator from source books Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
10 The maximum likelihood estimator of the fixed effects model Reading the sections on the maximum likelihood estimator of the fixed effects model from source books Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma, Problem Çözme
11 Random effects model Reading sections on the random effects model from source books Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
12 Generalized least squares method Reading the sections on the generalized least squares method from source books Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma, Problem Çözme
13 Testing assumptions about panel data models Reading sections on testing assumptions about panel data models from source books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme, Proje Temelli Öğrenme
14 Heterogeneity tests for panel data models Reading sections on heterogeneity tests from source books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Gösterip Yaptırma
15 Cross-section dependency tests for panel data models Reading the sections on cross-sectional dependency tests from source books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Proje Temelli Öğrenme
16 Relaxing the assumptions about panel data models Reading and problem set Ölçme Yöntemleri:
Ödev
17 Final exam reviewing the topics Ölçme Yöntemleri:
Yazılı Sınav, Ödev


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

Update Time: 27.02.2025 05:09