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| Unit | INSTITUTE OF SOCIAL SCIENCES |
| ECONOMETRICS (PhD) | |
| Code | IEM1802 |
| Name | Econometric Theory II |
| Term | 2024-2025 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. HASAN ALTAN ÇABUK |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The aim of this course is to teach econometrics methods at an advanced level to the graduates of Econometrics, Mathematics or Statistics.
Course Content
In this course the topics of multiple linear regression model, ordinary least squares (OLS) estimation, finite sample properties of OLS estimators, asymptotic properties, functional form and structural change, binary variables, structural break modelling and testing, model stability test, nonlinear regression models, generalized regression model, heteroscedasticity problem, multicollinearity, panel data models, regression equations system, simultaneous equations model, maximum likelihood estimation, models with delayed variable, time series models will be covered.
Course Precondition
There are no prerequisites for the course
Resources
Gujarati, D. N. & Porter, D. C. (2012). Temel ekonometri (Ü. Şenesen and G. Günlük Şenesen, Trans.). İstanbul: Literatür Publishing.
Notes
Baltagi, B. H. (2008). Econometrics. Berlin, Heidelberg: Springer-Verlag.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Bringing the basic econometrics knowledge to the advanced level |
| LO02 | Using information technologies and at least one computer programming language related to econometrics, statistics and operations research fields |
| LO03 | Making research on topics related to econometrics, using the acquired knowledge at the maximum extent for this research and preparing a report on this research, presenting the report in the best way |
| LO04 | Following current developments as being aware of the necessity of lifelong learning, being in progress continuously |
| LO05 | Interpreting data on economic and social events |
| LO06 | Explaining the difference between simple regression and multiple regression |
| LO07 | Writing the basic concepts related to deviations from the classical linear regression model |
| LO08 | Defining the concepts of structural equation and reduced form equation |
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 | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Develops new knowledge using current concepts in Econometrics, Statistics and Operations Research | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Explain for what purpose and how econometric methods are applied to other fields and disciplines | |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Using her knowledge, brings original solutions to problems in Economics, Business Administration and other social sciences | |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Creates a new model using mathematics, statistics and econometrics knowledge to solve the problem encountered | |
| 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 | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Collects data on purpose | 5 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Synthesizes the information obtained by using different sources within the framework of academic rules in a field of research | |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Presents analysis results conveniently | 2 |
| 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 | 3 |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Develops long-term plans and strategies using econometric and statistical methods | 5 |
| PLO14 | Beceriler - Bilişsel, Uygulamalı | Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research | |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs self-study using knowledge of Econometrics, Statistics and Operations to solve a problem | |
| PLO16 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads the team by taking responsibility | |
| PLO17 | 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 | |
| PLO18 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution | |
| 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 | |
| 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 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Review of multiple linear regression model and linear hypothesis tests | Gujarati & Porter (2012) - Temel ekonometri (Chapters 7-8) | Öğretim Yöntemleri: Anlatım, Problem Çözme, Soru-Cevap |
| 2 | Deviations from classical linear regression model: Multicollinearity | Gujarati & Porter (2012) - Temel ekonometri (Chapter 10) | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 3 | Deviations from the classical linear regression model: Autocorrelation | Gujarati & Porter (2012) - Temel ekonometri (Chapter 12) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Tartışma |
| 4 | Deviations from the classical linear regression model: Heteroscedasticity | Gujarati & Porter (2012) - Temel ekonometri (Chapter 11) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Problem Çözme |
| 5 | Deviations from the classical linear regression model: General review | Gujarati & Porter (2012) - Temel ekonometri (Chapters 10-12) | Öğretim Yöntemleri: Problem Çözme, Grup Çalışması, Alıştırma ve Uygulama |
| 6 | Structural change and Chow test | Gujarati & Porter (2012) - Temel ekonometri (Chapter 8) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Soru-Cevap |
| 7 | Article work | Gujarati & Porter (2012) - Temel ekonometri (Chapters 7-12) | Öğretim Yöntemleri: Anlatım, Grup Çalışması, Tartışma |
| 8 | Mid-Term Exam | Studying the course content | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Structural change and dummy variables | Gujarati & Porter (2012) - Temel ekonometri (Chapter 9) | Öğretim Yöntemleri: Anlatım, Problem Çözme, Soru-Cevap |
| 10 | Multi-equation econometric models: Structural model and reduced form model | Gujarati & Porter (2012) - Temel ekonometri (Chapters 18-19) | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 11 | Multiple equation econometric models: Investigation of identification on structural model | Gujarati & Porter (2012) - Temel ekonometri (Chapters 18-19) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Tartışma |
| 12 | Multi-equation econometric models: Investigation of identification on reduced form-1 | Gujarati & Porter (2012) - Temel ekonometri (Chapters 18-19) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Problem Çözme |
| 13 | Multiple equation econometric models: Investigation of identification on structural model-2 | Gujarati & Porter (2012) - Temel ekonometri (Chapters 18-19) | Öğretim Yöntemleri: Problem Çözme, Grup Çalışması, Alıştırma ve Uygulama |
| 14 | Preparing article work | Gujarati & Porter (2012) - Temel ekonometri (Chapters 18-20) | Öğretim Yöntemleri: Anlatım, Grup Çalışması, Tartışma |
| 15 | Making article work | Gujarati & Porter (2012) - Temel ekonometri (Chapters 18-20) | Öğretim Yöntemleri: Problem Çözme, Grup Çalışması, Alıştırma ve Uygulama |
| 16 | Final Exam | Studying the whole course content | Ölçme Yöntemleri: Sözlü Sınav |
| 17 | Final Exam | Studying the whole course content | Ölçme Yöntemleri: Sözlü Sınav |
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 | ||