TÜRKÇE
ENGLISH
Information
| Code | IEM749 |
| 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 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 | ||