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Information
| Code | IEM1806 |
| Name | Panel Data Analysis II |
| Term | 2023-2024 Academic Year |
| Term | Fall and Spring |
| 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 Instructor |
1 |
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 | ||