IEM750

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit
Information About Course

Information
Goal, Content & Resources
Course Learning Outcomes
Relation with Program Learning Outcome
Week Plan
Student Workload - ECTS

Information

Code IEM750
Name
Semester . Semester
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 Goal

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

Related Articles


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