TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES |
| ECONOMETRICS PR. (ENGLISH) | |
| Code | ECMS404 |
| Name | Panel Data Analysis II |
| Term | 2024-2025 Academic Year |
| Semester | 8. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Lisans Dersi |
| Type | Normal |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. KENAN LOPCU |
| Course Instructor |
Doç. Dr. ÇİLER SİGEZE GÜNEY
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
By the end of the course, students are expected to be completely mastered fundamental aspects of the Panel Data Analysis and be able to apply these methods to economic problems.
Course Content
This course comprehensively addresses the theoretical and practical aspects of panel data models. It primarily covers the structure of panel data, estimation methods for fixed and random effects models. Additionally, models with discrete, limited, and censored dependent variables (probit, logit, Tobit) are detailed. It includes testing assumptions and applications of robust estimators in cases of deviations from these assumptions.
Course Precondition
No Prerequisites
Resources
Baltagi, B. H., & Baltagi, B. H. (2008). Econometric analysis of panel data (Vol. 4). Chichester: John Wiley & Sons. Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data. MIT press.
Notes
Lecture notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains the basic methods of panel data analysis. |
| LO02 | Students estimate the basic panel data models and interpret them economically. |
| LO03 | Learn the fundamental panel methods of discrete and limited dependent variables. |
| LO04 | Estimate the panel models of discrete and limited dependent variables. |
| LO05 | It estimates censored panel data models (Tobit Model). |
| LO06 | Explains the basic concepts of panel data analysis. |
| LO07 | Economically interprets the results of basic panel model estimations on discrete and limited dependent variables. |
| LO08 | Interpret the estimation results of censored panel data models (Tobit Model). |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explain the basic concepts and theorems in the fields of Econometrics, Statistics and Operations research | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Acquires basic Mathematics, Statistics and Operation Research concepts | 4 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Describes the necessary concepts of Business | |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Equipped with the foundations of Economics, and develops Economic models | 4 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Models problems with Mathematics, Statistics, and Econometrics | 3 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Analyzes/interprets at the conceptual level to develop solutions to problems | 4 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Collects/analyses data from reliable data sources for the purpose of study | 3 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Interprets the results analyzed with the model | 4 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Combines the information obtained from different sources within the framework of academic rules in a field of research | 3 |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Adapts traditional approaches, practices and methods to a new study when necessary | 2 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Uses a package program of Econometrics, Statistics, and Operation Research | 4 |
| PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | In addition to herself/himself professional development, constantly improves in scientific, cultural, artistic and social fields in line with interests and abilities | |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the necessity of lifelong learning, it follows the current developments in the field / constantly renews itself | |
| PLO15 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses Turkish and at least one other foreign language, academically and in the business context | 3 |
| PLO16 | 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 |
| PLO17 | Yetkinlikler - Alana Özgü Yetkinlik | Interprets data on current economic and social issues | 4 |
| PLO18 | Yetkinlikler - Alana Özgü Yetkinlik | Applies social, scientific and professional ethical values | 2 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Basic concepts of discrete and limited dependent variables | Reading the sections related to basic concepts related to Discrete and Limited Dependent Variables from the source books. | Öğretim Yöntemleri: Anlatım |
| 2 | Discrete and Limited Dependent Variables 1 | Reading the sections related to basic concepts related to Discrete and Limited Dependent Variables from the source books. | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 3 | Discrete and Limited Dependent Variables 2 | Reading the sections related to basic concepts related to Discrete and Limited Dependent Variables from the source books. | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 4 | Panel Logit Model 1 | Reading the sections related to the basic concepts of the Panel Logit Model from the source books. | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 5 | Panel Logit Model 2 | Reading the sections related to the basic concepts of the Panel Logit Model from the source books. | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 6 | Panel Probit Model 1 | Reading sections related to the basic concepts of the Panel Probit Model from source books. | Öğretim Yöntemleri: Anlatım |
| 7 | Panel Probit Model 2 | Readings and problem set | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 8 | Mid-Term Exam | reviewing of topic | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Testing Basic Assumptions in Panel Data Models 1 | Readings and problem set | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Soru-Cevap |
| 10 | Heteroscedasticity Test in Panel Data Models | Reading the sections related to basic concepts related to Count Data Modeling from the source books. | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 11 | Testing Cross-Section Dependency in Panel Data Models | Reading the sections related to the basic concepts of the Poisson Regression Model from the source books. | Öğretim Yöntemleri: Anlatım, Örnek Olay, Proje Temelli Öğrenme |
| 12 | Robust estimators under heteroscedasticity | Reading the sections related to the basic concepts of the Poisson Regression Model from the source books. | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 13 | Robust estimators under autocorrelation. | Reading sections related to basic concepts related to Censored Data Modeling from source books. | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 14 | Robust estimators under cross-sectional dependence. | Reading sections related to the basic concepts of the Panel Tobit Model from source books. | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 15 | Estimating robust estimators with Stata Program | dataset search | Öğretim Yöntemleri: Anlatım, Problem Çözme, Proje Temelli Öğrenme |
| 16 | General application | Problem set | Ölçme Yöntemleri: Ödev |
| 17 | Term Exams | reviewing of topic | 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 | ||