Information
Code | IEM750 |
Name | |
Term | 2024-2025 Academic Year |
Term | Fall and Spring |
Duration (T+A) | 3-0 (T-A) (17 Week) |
ECTS | 6 ECTS |
National Credit | 3 National Credit |
Teaching Language | Türkçe |
Level | Yüksek Lisans Dersi |
Type | Normal |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator | |
Course Instructor |
Doç. Dr. HALİL İBRAHİM KESKİN
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
It is aimed that students learn Panel Data Analysis methods and can apply these methods with economic examples.
Course Content
A detailed look at panel data analysis and the applications made with these analysis methods will be mentioned.
Course Precondition
No prerequisites
Resources
Raj, B., & Baltagi, B. H. (Eds.). (2012). Panel data analysis. Springer Science & Business Media.
Notes
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Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Student completely master the fundamental aspects of the panel data analysis |
LO02 | Students estimate the basic panel data models and interpret them economically |
LO03 | Students learn the fundamental panel methods of discrete and limited dependent variables |
LO04 | Estimates basic econometric models related to discrete and limited dependent variable models |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | Explains contemporary concepts about Econometrics, Statistics, and Operation Research | 4 |
PLO02 | Bilgi - Kuramsal, Olgusal | Explains relationships between acquired knowledge about Econometrics, Statistics, and Operation Research | 3 |
PLO03 | Bilgi - Kuramsal, Olgusal | Explains how to apply acquired knowledge in the field to Economics, Business, and other social sciences | |
PLO04 | Beceriler - Bilişsel, Uygulamalı | Performs conceptual analysis to develop solutions to problems | 3 |
PLO05 | Beceriler - Bilişsel, Uygulamalı | Models problems with Mathematics, Statistics, and Econometrics | 4 |
PLO06 | Beceriler - Bilişsel, Uygulamalı | Interprets the results obtained from the most appropriate method to predict the model | 3 |
PLO07 | Beceriler - Bilişsel, Uygulamalı | Synthesizes the information obtained by using different sources within the framework of academic rules in a field that does not research | 2 |
PLO08 | Beceriler - Bilişsel, Uygulamalı | Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution | |
PLO09 | Beceriler - Bilişsel, Uygulamalı | Searches for new approaches and methods to solve problems being faced | |
PLO10 | Beceriler - Bilişsel, Uygulamalı | Presents analysis results conveniently | 4 |
PLO11 | Beceriler - Bilişsel, Uygulamalı | Collects/analyzes data in a purposeful way | 4 |
PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Converts its findings into a master's thesis or a professional report in Turkish or a foreign language | |
PLO13 | Beceriler - Bilişsel, Uygulamalı | Develops solutions for organizations using Econometrics, Statistics, and Operation Research | |
PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research | |
PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | |
PLO16 | 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 | |
PLO17 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code | |
PLO18 | 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 |
PLO19 | Yetkinlikler - Alana Özgü Yetkinlik | Interprets data on economic and social events by following current issues | |
PLO20 | Yetkinlikler - Alana Özgü Yetkinlik | Applies social, scientific and professional ethical values |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | Unbalanced Panels | readings | Öğretim Yöntemleri: Anlatım |
2 | reflexive panel | readings | Öğretim Yöntemleri: Anlatım |
3 | Pseudo Panels | reading | Öğretim Yöntemleri: Anlatım |
4 | Heterogeneous Panels | readings | Öğretim Yöntemleri: Anlatım |
5 | Random Coefficient Models | readings | Öğretim Yöntemleri: Anlatım |
6 | Seemingly Unrelated Regression | readings | Öğretim Yöntemleri: Anlatım |
7 | Models for Limited dependent variables | readings | Öğretim Yöntemleri: Anlatım |
8 | mid-term exam | Ölçme Yöntemleri: Yazılı Sınav |
|
9 | Panel unit root tests | readings | Öğretim Yöntemleri: Anlatım |
10 | first generation panel unit root | readings | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
11 | second generation panel unit root | readings | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
12 | Application of panel unit root | readings and data prepairing | Öğretim Yöntemleri: Alıştırma ve Uygulama, Gösterip Yaptırma |
13 | Panel Coentegration | readings and data prepairing | Öğretim Yöntemleri: Anlatım |
14 | Tests of panel coentegration | readings and data analysis | Öğretim Yöntemleri: Alıştırma ve Uygulama, Gösterip Yaptırma |
15 | Short and long run estimator | reading | Öğretim Yöntemleri: Anlatım |
16 | Aplication of short and long term estimators | reading and data analysis | Öğretim Yöntemleri: Alıştırma ve Uygulama, Gösterip Yaptırma |
17 | Final exam | Ölçme Yöntemleri: Ödev, 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 | 5 | 70 |
Assesment Related Works | |||
Homeworks, Projects, Others | 0 | 0 | 0 |
Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
Final Exam | 1 | 30 | 30 |
Total Workload (Hour) | 157 | ||
Total Workload / 25 (h) | 6,28 | ||
ECTS | 6 ECTS |