ECMS404 Panel Data Analysis II

6 ECTS - 3-0 Duration (T+A)- 8. Semester- 3 National Credit

Information

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
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. KENAN LOPCU
Course Instructor
1


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

Update Time: 08.05.2024 12:33