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 |