Information
Unit | INSTITUTE OF SOCIAL SCIENCES |
ECONOMETRICS (MASTER) (WITH THESIS) | |
Code | IEM750 |
Name | Panel Data Analysis II |
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 Panel Data Analysis methods and can apply these methods with economic examples.
Course Content
This course covers the theoretical and applied aspects of panel data models in a comprehensive manner. It mainly covers panel data structure, fixed and random effects model estimation methods. It also details macro panel data analysis (panel unit root tests, panel cointegration analysis). It covers testing of assumptions and robust estimators in case of deviations from assumptions 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 of panel data analysis |
LO02 | Students estimate the basic panel data models |
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 |
LO05 | Economically interprets the panel data models it estimates |
LO06 | Performing panel unit root tests |
LO07 | The panel can perform cointegration analysis. |
LO08 | Explain and estimate panel models with limited dependent variables |
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 of 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 | Beceriler - Bilişsel, Uygulamalı | Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research | |
PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research | |
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 | |
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 | Reading the relevant section from the source books on Unbalanced Panels | Öğretim Yöntemleri: Anlatım |
2 | reflexive panel | Reading the relevant section from the source books on Reflexive Panels | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
3 | Pseudo Panels | Reading the relevant section from the source books on Artificial Panels | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
4 | Heterogeneous Panels | Reading the relevant section from the source books on Heterogeneous Panels | Öğretim Yöntemleri: Anlatım, Grup Çalışması |
5 | Random Coefficient Models | Reading the relevant section from the source books on the Random Coefficients Model | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
6 | Seemingly Unrelated Regression | Reading the relevant section from the source books on Apparently Unrelated Regression | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
7 | Models for Limited dependent variables | Reading the relevant section from the source books on Panel Data Models with Limited Dependent Variables | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
8 | mid-term exam | reviewing the topics | Ölçme Yöntemleri: Yazılı Sınav |
9 | Panel unit root tests | Reading the relevant section from the source books on Panel Unit Root Tests and reading related articles | Öğretim Yöntemleri: Anlatım, Bireysel Çalışma |
10 | first generation panel unit root | Reading the relevant section from the source books on First Generation Panel Unit Root Tests | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Alıştırma ve Uygulama |
11 | second generation panel unit root | Reading the relevant section from the source books on Second Generation Panel Unit Root Tests | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
12 | Application of panel unit root | readings and data prepairing | Öğretim Yöntemleri: Alıştırma ve Uygulama, Gösterip Yaptırma, Proje Temelli Öğrenme |
13 | Panel Coentegration | Reading the relevant section from the source books on Panel Cointegration Tests | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
14 | Tests of panel coentegration | readings and data analysis | Öğretim Yöntemleri: Alıştırma ve Uygulama, Gösterip Yaptırma, Problem Çözme |
15 | Short and long run estimator | Reading the relevant section from the source books on Short and Long Term Forecasters | Öğretim Yöntemleri: Anlatım, Tartışma, Gösterip Yaptırma, Proje Temelli Öğrenme |
16 | Final Assignment | reading and data analysis | Ölçme Yöntemleri: Ödev |
17 | Final exam | reviewing the topics | 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 |