IEM1806 Panel Data Analysis II

8 ECTS - 4-0 Duration (T+A)- . Semester- 4 National Credit

Information

Code IEM1806
Name Panel Data Analysis II
Term 2024-2025 Academic Year
Semester . Semester
Duration (T+A) 4-0 (T-A) (17 Week)
ECTS 8 ECTS
National Credit 4 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. KENAN LOPCU


Course Goal / Objective

It is aimed that the students have learned the basics of the Panel Data Analysis method and that they can use these methods for economic problems.

Course Content

This course is the second in a two-semester series designed to provide students with applications of panel data analysis and methods.

Course Precondition

No prerequisites

Resources

Raj, B., & Baltagi, B. H. (Eds.). (2012). Panel data analysis. Springer Science & Business Media. Baltagi, B. H., & Baltagi, B. H. (2008). Econometric analysis of panel data (Vol. 4). Chichester: John Wiley & Sons. Tatoğlu, F. Y. (2012). İleri panel veri analizi: Stata uygulamalı. Beta.

Notes

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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 Students learn basic panel econometric methods related to discrete and limited dependent variables.
LO04 Students predict and economically interpret basic panel models of discrete and limited dependent variables.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Identify an econometric problem and propose a new solution to it 3
PLO02 Bilgi - Kuramsal, Olgusal Develops new knowledge using current concepts in Econometrics, Statistics and Operations Research 2
PLO03 Bilgi - Kuramsal, Olgusal Explain for what purpose and how econometric methods are applied to other fields and disciplines 3
PLO04 Beceriler - Bilişsel, Uygulamalı Using her knowledge, brings original solutions to problems in Economics, Business Administration and other social sciences 3
PLO05 Beceriler - Bilişsel, Uygulamalı Creates a new model using mathematics, statistics and econometrics knowledge to solve the problem encountered 4
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 4
PLO07 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems 3
PLO08 Beceriler - Bilişsel, Uygulamalı Collects data on purpose 4
PLO09 Beceriler - Bilişsel, Uygulamalı Synthesizes the information obtained by using different sources within the framework of academic rules in a field that does not research 3
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently 4
PLO11 Beceriler - Bilişsel, Uygulamalı Converts its findings into a master's thesis or a professional report in Turkish or a foreign language
PLO12 Beceriler - Bilişsel, Uygulamalı It researches current approaches and methods to solve the problems it encounters and proposes new solutions
PLO13 Beceriler - Bilişsel, Uygulamalı Develops long-term plans and strategies using econometric and statistical methods 2
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs self-study using knowledge of Econometrics, Statistics and Operations to solve a problem
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads the team by taking responsibility
PLO16 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 3
PLO17 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution 3
PLO18 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code 4
PLO19 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
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values
PLO21 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on economic and social events by following current issues 3


Week Plan

Week Topic Preparation Methods
1 Basic concepts of discrete and bounded dependent variable models 1 Reading Öğretim Yöntemleri:
Anlatım
2 Basic concepts of discrete and bounded dependent variable models 2 Reading Öğretim Yöntemleri:
Anlatım
3 Basic concepts of censored models Reading Öğretim Yöntemleri:
Anlatım
4 Panel Logit Model Reading and Problem set Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
5 Estimation of Panel Logit Model Reading and Problem Set Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
6 Panel Probit Model Reading and Problem set Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Estimation of the Panel Probit Model Reading and Problem set Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Mid-term exam Ölçme Yöntemleri:
Yazılı Sınav, Ödev
9 Panel Data Discrete Regression Model Reading and Problem set Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
10 Panel Tobit Model Reading and Problem set Öğretim Yöntemleri:
Anlatım, Tartışma
11 Estimation of the Panel Tobit Model Reading and problem set Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Panel Count Models Reading and Problem set Öğretim Yöntemleri:
Anlatım, Tartışma
13 Estimation of Panel Count Models Reading and problem set Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 Panel Multinomial Models Reading and problem set Öğretim Yöntemleri:
Anlatım, Tartışma
15 Estimation of Panel Multinomial Models Reading and problem set Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
16 General practice at the end of the semester Data set Öğretim Yöntemleri:
Alıştırma ve Uygulama, Gösterip Yaptırma
17 Final exam Ölçme Yöntemleri:
Ödev


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 8 112
Assesment Related Works
Homeworks, Projects, Others 2 4 8
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 24 24
Total Workload (Hour) 212
Total Workload / 25 (h) 8,48
ECTS 8 ECTS

Update Time: 08.05.2024 11:17