IEM749

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

Information

Code IEM749
Name
Term 2023-2024 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
1


Course Goal / Objective

It is aimed that students learn the basic methods of Panel Data Analysis and can use these methods with economic examples

Course Content

An overview of panel data analysis will be provided and the applications considered most useful 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 Students grasp the fundamental concepts 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 panel econometric models estimated
LO04 Gains the ability to test the assumptions of the predicted panel econometric 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 4
PLO04 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems
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 3
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 3
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently 4
PLO11 Beceriler - Bilişsel, Uygulamalı Collects/analyzes data in a purposeful way 3
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 4
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research 3
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 4
PLO17 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code 4
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
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 Basic Concept of Panel Data readins and problem set Öğretim Yöntemleri:
Anlatım
2 Basic conceps of panel data models reading Öğretim Yöntemleri:
Anlatım
3 Homogeneous Panel Data models readings Öğretim Yöntemleri:
Anlatım
4 Heterogeneous Panel Data Models readings Öğretim Yöntemleri:
Anlatım
5 Estimation of the Homogeneous and heterogeneous models readings Öğretim Yöntemleri:
Anlatım
6 Tests of homogeneous readings Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
7 Pooled Models readings Öğretim Yöntemleri:
Anlatım
8 Fixed Effects Models readings Öğretim Yöntemleri:
Anlatım
9 Estimation techniques Of fixed effects model readings Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
10 First differences estimator readings Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
11 Within and between estimator readings Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
12 mid-term exam Ölçme Yöntemleri:
Yazılı Sınav, Ödev
13 Random Effects model readings Öğretim Yöntemleri:
Anlatım
14 Estimation of Random Effects Model readings Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
15 Determination of appropriate model reading and problem set Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
16 Estimation of appropriate model reading and problem set Öğretim Yöntemleri:
Anlatım
17 final exam 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 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

Update Time: 11.05.2023 04:40