ECMS403 Panel Data Analysis I

5 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Code ECMS403
Name Panel Data Analysis I
Term 2024-2025 Academic Year
Semester 7. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. KENAN LOPCU
Course Instructor Doç. Dr. HALİL İBRAHİM KESKİN (A Group) (Ins. in Charge)


Course Goal / Objective

By the end of the course, students are expected to be completely mastered fundamental aspects of the Panel Data Analysis and be able to apply these methods to economic problems.

Course Content

This course is the first of two terms designed to provide panel data analysis and application of methods. Basic concepts used in panel data analysis are explained. Panel data models are introduced. In addition to basic panel data estimation methods and applications of these methods, it covers the tests required at each stage for model selection and the applications of these tests.

Course Precondition

No Prerequisites

Resources

Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data. MIT press. Baltagi, B. H., & Baltagi, B. H. (2008). Econometric analysis of panel data (Vol. 4). Chichester: John Wiley & Sons.

Notes

Lecture Notes


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains the basic methods related to Panel Data Analysis
LO02 Students gain the ability to estimate the basic panel data models
LO03 Students gain the ability to interpret economically the basic panel econometric models they estimate.
LO04 Explains the assumptions of classical panel models
LO05 It provides the ability to check for violations of the assumptions of panel estimators.
LO06 Explains the basic concepts related to Panel Data Analysis
LO07 Applies the necessary tests to choose between alternative panel data models
LO08 Applies the necessary tests to determine the appropriate panel data model


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explain the basic concepts and theorems in the fields of Econometrics, Statistics and Operations research 3
PLO02 Bilgi - Kuramsal, Olgusal Acquires basic Mathematics, Statistics and Operation Research concepts 4
PLO03 Bilgi - Kuramsal, Olgusal Describes the necessary concepts of Business
PLO04 Beceriler - Bilişsel, Uygulamalı Equipped with the foundations of Economics, and develops Economic models 2
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics 4
PLO06 Beceriler - Bilişsel, Uygulamalı Analyzes/interprets at the conceptual level to develop solutions to problems 3
PLO07 Beceriler - Bilişsel, Uygulamalı Collects/analyses data from reliable data sources for the purpose of study 3
PLO08 Bilgi - Kuramsal, Olgusal Interprets the results analyzed with the model 4
PLO09 Beceriler - Bilişsel, Uygulamalı Combines the information obtained from different sources within the framework of academic rules in a field of research 4
PLO10 Beceriler - Bilişsel, Uygulamalı Adapts traditional approaches, practices and methods to a new study when necessary
PLO11 Beceriler - Bilişsel, Uygulamalı Uses a package program of Econometrics, Statistics, and Operation Research 4
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team
PLO13 Yetkinlikler - Öğrenme Yetkinliği In addition to herself/himself professional development, constantly improves in scientific, cultural, artistic and social fields in line with interests and abilities
PLO14 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it follows the current developments in the field / constantly renews itself
PLO15 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses Turkish and at least one other foreign language, academically and in the business context 3
PLO16 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
PLO17 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on current economic and social issues 4
PLO18 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values


Week Plan

Week Topic Preparation Methods
1 Basic concepts of panel data Reading sections related to Basic Concepts of Panel Data from source books Öğretim Yöntemleri:
Anlatım
2 Panel Data Models 1 Reading the sections on Panel Data Models from the source books. Öğretim Yöntemleri:
Anlatım, Soru-Cevap
3 Panel Data Models 2 Reading the sections on Panel Data Models from the source books. Öğretim Yöntemleri:
Anlatım, Problem Çözme, Soru-Cevap
4 Pooled Least Squares 1 Reading the sections on Pooled Least Squares from the source books. Öğretim Yöntemleri:
Anlatım, Tartışma
5 Pooled Least Squares 2 Reading the sections on Pooled Least Squares from the source books. Öğretim Yöntemleri:
Anlatım, Problem Çözme
6 Estimation after Differencing 1 Reading the sections on Estimation After Pooled Differencing from the source books. Öğretim Yöntemleri:
Anlatım, Tartışma
7 Estimation after Differencing 2 Reading the sections on Estimation After Pooled Differencing from the source books. Öğretim Yöntemleri:
Anlatım, Problem Çözme
8 Mid-Term Exam review of topics Ölçme Yöntemleri:
Yazılı Sınav
9 Fixed Effects Model Estimation 1 Reading the sections on Estimation of Fixed Effects Model from the source books. Öğretim Yöntemleri:
Anlatım, Soru-Cevap
10 Fixed Effects Model Estimation 2 Reading the sections on Estimation of Fixed Effects Model from the source books. Öğretim Yöntemleri:
Anlatım, Problem Çözme
11 Random Effects Model Estimation 1 Reading the sections related to Estimation of Random Effects Model from the source books. Öğretim Yöntemleri:
Anlatım, Soru-Cevap
12 Random Effects Model Estimation 2 Reading the sections related to Estimation of Random Effects Model from the source books. Öğretim Yöntemleri:
Anlatım, Problem Çözme
13 Assumptions of the Panel Model Reading the sections on Assumptions of Panel Models from the source books. Öğretim Yöntemleri:
Anlatım, Tartışma
14 Relaxing the assumptions of the Panel Model 1 Reading the sections on Extending Assumptions of Panel Models from the source books. Öğretim Yöntemleri:
Anlatım, Problem Çözme, Gösterip Yaptırma
15 Relaxing the assumptions of the Panel Model 2 Reading the sections on Extending Assumptions of Panel Models from the source books. Öğretim Yöntemleri:
Anlatım, Problem Çözme, Gösterip Yaptırma
16 End of term project Problem set Ölçme Yöntemleri:
Ödev
17 Term Exams Problem Solving 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 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS

Update Time: 27.02.2025 11:00