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Information
| Code | IEM706 |
| Name | Schools in Econometrics II |
| 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
Baltagi, B. H. (2021). What is Econometrics?. In Econometrics (pp. 3-12). Springer, Cham. Kmenta, J., & Klein, L. R. (1971). Elements of econometrics (Vol. 655). New York: Macmillan.
Resources
No prerequisites
Notes
Related Articles
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | identify and list appropriate statistical methods |
| LO02 | illustrate alternative methods |
| LO03 | make predictions using alternative methods |
| LO04 | compare the appropriate statistical methods |
| LO05 | make inferences forward |
| LO06 | To be able to demonstrate the relationship between science and econometric methods |
| LO07 | To be able to define the basic concepts of econometrics |
| LO08 | To be able to explain econometric concepts. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explains contemporary concepts about Econometrics, Statistics, and Operation Research | 2 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Explains relationships between acquired knowledge about Econometrics, Statistics, and Operation Research | 3 |
| 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 | 4 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Interprets the results obtained from the most appropriate method to predict the model | 4 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Synthesizes the information obtained by using different sources within the framework of academic rules in a field of research | 3 |
| 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 | 3 |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Presents analysis results conveniently | 4 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Collects/analyzes data in a purposeful way | 4 |
| 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 | 3 |
| PLO14 | Beceriler - Bilişsel, Uygulamalı | Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code | 4 |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research | 4 |
| PLO16 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | 3 |
| 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 | 3 |
| 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 | 3 |
| PLO19 | Yetkinlikler - Alana Özgü Yetkinlik | Interprets data on economic and social events by following current issues | 3 |
| PLO20 | Yetkinlikler - Alana Özgü Yetkinlik | Applies social, scientific and professional ethical values |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Multiple Equation Models, Vector Autoregressions (VARs) | Econometric Methods, J. Johnston ve J. Dinardo, Fourth Editions. | Öğretim Yöntemleri: Anlatım |
| 2 | Vector Error Correction Models , Simultaneous Structural Equation Models | Econometric Methods, J. Johnston ve J. Dinardo, Fourth Editions. | Öğretim Yöntemleri: Anlatım, Tartışma |
| 3 | Estimation of Structural Equations, nonstationary Variables, System Methods of Estimation | Econometric Methods, J. Johnston ve J. Dinardo, Fourth Editions. | Öğretim Yöntemleri: Anlatım, Tartışma |
| 4 | Generalized Method of Moments, The method of moments, OLS as a moment problem | Course notes and lecture notes | Öğretim Yöntemleri: Tartışma |
| 5 | GMM and the Orthogonality Condition, Distribution of the GMM estimator | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 6 | A smorgasbord of computationally Intensive Methods | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 7 | Monte Carlo Methods and Permutation Tests, The Bootstrap | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | Nonparametric Density Estimation, Nonparametric Regression | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 10 | Panel Data, Sources And Types of Panel Data, | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 11 | Random Effects as a Combination of Within and Between Estimators | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 12 | A Wu-Hausman Test | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 13 | Discrete and Limited Dependent Variable Models | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım |
| 14 | Formulating A probability Model | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım |
| 15 | General Review and numerical Problem Solution | Course notes and lecture notes | Öğretim Yöntemleri: Anlatım |
| 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 | ||