TÜRKÇE
ENGLISH
Information
| Code | IEM705 |
| Name | Schools in Econometrics I |
| Term | 2024-2025 Academic Year |
| Term | Fall and Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. HASAN ALTAN ÇABUK |
| Course Instructor |
1 |
Course Goal / Objective
To be able to expand econometric topics in theory and to make models realistic. To be able to make economic evaluations, to be able to interpret, to comment, to give basic skills and formulations to use econometric results, to improve judgment.
Course Content
In this course, the concepts of econometric theory and econometric model, data and measurement methods in econometric studies, estimation methods and properties of estimator are discussed.
Course Precondition
No prerequisites
Resources
Baltagi, B. H. (2021). What is Econometrics?. In Econometrics (pp. 3-12). Springer, Cham. Andrews, D. W. (1994). Empirical process methods in econometrics. Handbook of econometrics, 4, 2247-2294.
Notes
Related Articles
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | To be able to demonstrate the relationship between science and econometric methods. |
| LO02 | To be able to define the basic concepts of econometrics. |
| LO03 | To be able to explain econometric concepts. |
| LO04 | To classify the variables according to their properties |
| LO05 | Econometric Model Building |
| LO06 | To be able to reveal econometric relationships |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explains contemporary concepts about Econometrics, Statistics, and Operation Research | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Explains relationships between acquired knowledge about Econometrics, Statistics, and Operation Research | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Explains how to apply acquired knowledge in the field to Economics, Business, and other social sciences | |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Performs conceptual analysis to develop solutions to problems | |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Models problems with Mathematics, Statistics, and Econometrics | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Interprets the results obtained from the most appropriate method to predict the model | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Synthesizes the information obtained by using different sources within the framework of academic rules in a field of research | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution | |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Searches for new approaches and methods to solve problems being faced | |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Presents analysis results conveniently | 3 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Collects/analyzes data in a purposeful way | |
| PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Converts its findings into a master's thesis or a professional report in Turkish or a foreign language | |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Develops solutions for organizations using Econometrics, Statistics, and Operation Research | 4 |
| PLO14 | Beceriler - Bilişsel, Uygulamalı | Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code | |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research | 3 |
| PLO16 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | |
| 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 | Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form | |
| PLO19 | Yetkinlikler - Alana Özgü Yetkinlik | Interprets data on economic and social events by following current issues | |
| PLO20 | Yetkinlikler - Alana Özgü Yetkinlik | Applies social, scientific and professional ethical values |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Further Aspects of Two-variable relationships | Econometric Methods, J. Johnston ve J. Dinardo, Fourth Editions. | Öğretim Yöntemleri: Anlatım, Tartışma |
| 2 | Lagged Dependent Variable as Regressor , Stationary and non stationary series | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 3 | The k- variable linear Equarion, matrix formulation of the k-variable model | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 4 | partial correlation coefficients, the geometry of least squares, inference in the k-Variable Equation | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 5 | Some tests of the k-Variable Linear Equation for Specification Error | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım |
| 6 | Tests of Structural Change , Dummy Variables | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım |
| 7 | Maximum Likelihood (ML), Generalized Least Squares (GLS), and Instrumental Variables (IV) Estimators | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | Tests for Heteroscedasticity, Estimation Under Heterocedasticity | Course notes and lecture notes | Öğretim Yöntemleri: Tartışma |
| 10 | OLS and Autocorrelated Disturbances, Testing For Autocerrelated Disturbances | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 11 | Univariate Time series Modeling, | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 12 | Identification, Estimation and Testing of ARIMA models | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 13 | Autoregressive Distributed Lag Relationships | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 14 | Nonstationary Resressors | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 15 | numerical problems solution | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
|
| 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 | ||