EKMS404 Panel Data Analysis II

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

Information

Unit FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES
ECONOMETRICS PR.
Code EKMS404
Name Panel Data Analysis II
Term 2017-2018 Academic Year
Semester 8. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
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. HALİL İBRAHİM KESKİN (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 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

Resources

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 4
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 4
PLO08 Beceriler - Bilişsel, Uygulamalı 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 2
PLO10 Beceriler - Bilişsel, Uygulamalı Adapts traditional approaches, practices and methods to a new study when necessary
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 3
PLO14 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in its field. 3
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 3
PLO17 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on current economic and social issues 3
PLO18 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values


Week Plan

Week Topic Preparation Methods
1 Discrete and Limited Dependent Variables Readings and problem set
2 Discrete and Limited Dependent Variables Readings and problem set
3 Discrete and Limited Dependent Variables Readings and problem set
4 The Linear Probability Model Readings and problem set
5 The Linear Probability Model Readings and problem set
6 The Logit and Probit Models Readings and problem set
7 The Logit and Probit Models Readings and problem set
8 Midterm
9 Modelling Count Data Readings and problem set
10 Modelling Count Data Readings and problem set
11 Modelling Count Data: The Poisson Regression Model Readings and problem set
12 Modelling Count Data: The Poisson Regression Model Readings and problem set
13 Modelling Censored Data Readings and problem set
14 Modelling Censored Data: Tobit Model Readings and problem set
15 Modelling Censored Data: Tobit Model Readings and problem set
16 Final Exam
17 Final Exam


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: 01.05.2025 12:16