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Information
| Code | ECMS404 |
| Name | Panel Data Analysis II |
| Term | 2022-2023 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 |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. KENAN LOPCU |
| Course Instructor |
Doç. Dr. HALİL İBRAHİM KESKİN
(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 is the second of two semesters designed to provide students with the application of Panel Data Analysis and implementation of methods. A detailed overview of panel data analysis and their applications believed to be the most useful will be presented.
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 | Students completely master the fundamental aspects of the Panel Data Analaysis. |
| 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 and interpret them economically |
| LO05 | Students become familiar with 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 | Has the ability to analyze/interpret at the conceptual level to develop solutions to problems | 4 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Collects/analyses data | 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 which does not research | 3 |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | It develops traditional approaches, practices and methods into new working methods when it deems necessary | 2 |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | |
| PLO12 | 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 | |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the necessity of lifelong learning, it follows the current developments in the field / constantly renews itself | |
| PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses a package program of Econometrics, Statistics, and Operation Research | 4 |
| 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 | Readings and problem set | Öğretim Yöntemleri: Anlatım |
| 2 | Discrete and Limited Dependent Variables 1 | Readings and problem set | Öğretim Yöntemleri: Anlatım |
| 3 | Discrete and Limited Dependent Variables 2 | Readings and problem set | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 4 | Panel Logit Model 1 | Readings and problem set | Öğretim Yöntemleri: Anlatım |
| 5 | Panel Logit Model 2 | Readings and problem set | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 6 | Panel Probit Model 1 | Readings and problem set | Öğretim Yöntemleri: Anlatım |
| 7 | Panel Probit Model 2 | Readings and problem set | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | Modelling Count Data 1 | Readings and problem set | Öğretim Yöntemleri: Anlatım |
| 10 | Modelling Count Data 2 | Readings and problem set | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 11 | Modelling Count Data: The Poisson Regression Model 1 | Readings and problem set | Öğretim Yöntemleri: Anlatım |
| 12 | Modelling Count Data: The Poisson Regression Model 2 | Readings and problem set | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 13 | Modelling Censored Data | Readings and problem set | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 14 | Panel Tobit Model 1 | Readings and problem set | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 15 | Panel Tobit Model 2 | Readings and problem set | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 16 | General application | Problem set | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 17 | Term Exams | 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 | ||