EKMS403 Panel Data Analysis I

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

Information

Code EKMS403
Name Panel Data Analysis I
Term 2022-2023 Academic Year
Semester 7. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
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 applications of Panel Data Analysis 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

Tatoğlu, F. Y. (2012). Panel veri ekonometrisi. Beta Yayınevi. Tatoğlu, F. Y. (2012). İleri panel veri analizi: Stata uygulamalı. Beta.

Notes

Lecture Note


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 4
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 4
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics 3
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 4
PLO08 Beceriler - Bilişsel, Uygulamalı Interprets the results analyzed with the model 3
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 4
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 3
PLO13 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in its field.
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 3
PLO17 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on current economic and social issues 3
PLO18 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values


Week Plan

Week Topic Preparation Methods
1 The basic concepts of panel data Readings and problem set Öğretim Yöntemleri:
Anlatım
2 Panel Data Models 1 Readings and problem set Öğretim Yöntemleri:
Anlatım, Problem Çözme
3 Panel Data Models 2 Readings and problem set Öğretim Yöntemleri:
Anlatım, Problem Çözme
4 Pooled Least Squares Estimation 1 Readings and problem set Öğretim Yöntemleri:
Anlatım
5 Pooled Least Squares Estimation 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 General application problem set Öğretim Yöntemleri:
Alıştırma ve Uygulama
17 Term Exams 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: 21.11.2022 11:49