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Information
| Unit | INSTITUTE OF SOCIAL SCIENCES |
| ECONOMETRICS (MASTER) (WITH THESIS) | |
| Code | IEM749 |
| Name | Panel Data Analysis I |
| 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
(Güz)
(A Group)
(Ins. in Charge)
Doç. Dr. HALİL İBRAHİM KESKİN (Bahar) (A Group) (Ins. in Charge) |
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
The basic concepts used in panel data analysis are explained. Panel data models are introduced. In addition to covering the basic panel data estimation methods and their applications, the course includes the necessary tests for model selection at each stage and their applications.
Course Precondition
No prerequisites
Resources
Raj, B., & Baltagi, B. H. (Eds.). (2012). Panel data analysis. Springer Science & Business Media.
Notes
Related articles and data sets
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains the basic methods related to 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 |
| LO05 | Applies the necessary tests to choose between alternative panel data models |
| LO06 | Explains the basic concepts of panel data analysis. |
| LO07 | Applies Panel Heterogeneity tests |
| LO08 | Explain the advantages and disadvantages of panel data analysis. |
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 of 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 | Beceriler - Bilişsel, Uygulamalı | Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research | 4 |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research | 3 |
| PLO16 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | |
| PLO17 | 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 |
| 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 | Reading the relevant section from the source books on Basic Concepts of Panel Data | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Basic conceps of panel data models | Reading the relevant section from the source books on Basic Concepts of Panel Data Models | Öğretim Yöntemleri: Anlatım, Tartışma |
| 3 | Homogeneous Panel Data models | Reading the relevant section from the source books on Homogeneous Panel Data Models | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 4 | Heterogeneous Panel Data Models | Reading the relevant section from the source books on Heterogeneous Panel Data Models | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 5 | Estimation of the Homogeneous and heterogeneous models | Reading the relevant section from the source books on Estimation of Heterogeneous and Homogeneous Models | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 6 | Tests of homogeneous | Reading the relevant section from the source books on Homogeneity Tests | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Problem Çözme |
| 7 | Pooled Models | Reading the relevant section from the source books on the Pooled Model | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 8 | Fixed Effects Models | Reading the relevant section from the source books on the Fixed Effects Model | Öğretim Yöntemleri: Anlatım, Tartışma |
| 9 | Estimation techniques Of fixed effects model | Reading the relevant section from the source books on Fixed Effects Model Estimation Techniques | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Proje Temelli Öğrenme |
| 10 | First differences estimator | Reading the relevant section from the source books on the First Difference Method | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Soru-Cevap |
| 11 | Within and between estimator | Reading the relevant section from the source books on Intragroup and Intergroup Estimators | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Problem Çözme |
| 12 | mid-term exam | reviewing the topics. | Ölçme Yöntemleri: Yazılı Sınav, Ödev |
| 13 | Random Effects model | Reading the relevant section from the source books on the Random Effects Model | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 14 | Estimation of Random Effects Model | Reading the relevant section from the source books on Estimation of Random Effects Model | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Problem Çözme |
| 15 | Determination of appropriate model | Reading the relevant section from the source books on Determining the Appropriate Model | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Proje Temelli Öğrenme |
| 16 | Estimation of appropriate model | reading and problem set | Ölçme Yöntemleri: Ödev |
| 17 | final exam | reviewing the topics | Ölçme Yöntemleri: Yazılı Sınav, Ödev |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
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 | ||