Information
Code | ECMS403 |
Name | Panel Data Analysis I |
Term | 2023-2024 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 semesters designed to provide students with the application of Panel Data Anlysis and implementation of methods. an overview of panel data analysis and their applications believed to be the most useful will be presented.
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 | Students grasp the fundamental methods of the 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 | Grasp the notion of the assumptions of the classic panel models |
LO05 | Students gain the ability to control the violations of the assumptions of panel estimators. |
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 | Has the ability to analyze/interpret at the conceptual level to develop solutions to problems | 3 |
PLO07 | Beceriler - Bilişsel, Uygulamalı | Collects/analyses data | 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 which does not research | 4 |
PLO10 | Beceriler - Bilişsel, Uygulamalı | It develops traditional approaches, practices and methods into new working methods when it deems necessary | |
PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | |
PLO12 | 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 | |
PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the necessity of lifelong learning, it follows the current developments in the field / constantly renews itself | |
PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses a package program of Econometrics, Statistics, and Operation Research | 4 |
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 | Readings and problem set | Öğretim Yöntemleri: Anlatım |
2 | Panel Data Models 1 | Readings and problem set | Öğretim Yöntemleri: Anlatım |
3 | Panel Data Models 2 | Readings and problem set | Öğretim Yöntemleri: Anlatım, Problem Çözme |
4 | Pooled Least Squares 1 | Readings and problem set | Öğretim Yöntemleri: Anlatım |
5 | Pooled Least Squares 2 | Readings and problem set | Öğretim Yöntemleri: Anlatım, Problem Çözme |
6 | Estimation after Differencing 1 | Readings and problem set | Öğretim Yöntemleri: Anlatım |
7 | Estimation after Differencing 2 | Readings and problem set | Öğretim Yöntemleri: Anlatım, Problem Çözme |
8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
9 | Fixed Effects Estimation 1 | Readings and problem set | Öğretim Yöntemleri: Anlatım |
10 | Fixed Effects Estimation 2 | Readings and problem set | Öğretim Yöntemleri: Anlatım, Problem Çözme |
11 | Random Effects Estimation 1 | Readings and problem set | Öğretim Yöntemleri: Anlatım |
12 | Random Effects Estimation 2 | Readings and problem set | Öğretim Yöntemleri: Anlatım, Problem Çözme |
13 | Assumptions of the Panel Model | Readings and problem set | Öğretim Yöntemleri: Anlatım |
14 | Relaxing the assumptions of the Panel Model 1 | Readings and problem set | Öğretim Yöntemleri: Anlatım, Problem Çözme |
15 | Relaxing the assumptions of the Panel Model 2 | Readings and problem set | Öğretim Yöntemleri: Anlatım, Problem Çözme |
16 | Problem Solving | Problem set | Öğretim Yöntemleri: Alıştırma ve Uygulama |
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 |