IEM705 Schools in Econometrics I

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Unit INSTITUTE OF SOCIAL SCIENCES
ECONOMETRICS (MASTER) (WITH THESIS)
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
The current term course schedule has not been prepared yet.


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
LO07 Identify differences between econometric models
LO08 Ability to interpret the estimation results of econometric models


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/writes a new code for Econometrics, Statistics, and Operation Research
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, the relevant part should be read Öğretim Yöntemleri:
Anlatım, Tartışma
2 Lagged Dependent Variable as Regressor , Stationary and non stationary series Reading the relevant sections on Variables as Dependent Regressors with Delays, Stationary and Non-stationary Series from source books Öğretim Yöntemleri:
Anlatım, Tartışma
3 The k- variable linear Equarion, matrix formulation of the k-variable model Reading the sections on linear equation with k variables and matrix formulation of k variable models from the source books. Öğretim Yöntemleri:
Anlatım, Tartışma
4 partial correlation coefficients, the geometry of least squares, inference in the k-Variable Equation Reading the sections on partial correlation coefficients, geometry of least squares, and inference in k-variable equations from the source books. Öğretim Yöntemleri:
Anlatım
5 Some tests of the k-Variable Linear Equation for Specification Error Reading the sections on Some Tests of Multivariable Linear Equation for Specification Error from the source books. Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma
6 Tests of Structural Change , Dummy Variables Reading the sections on Structural Change Tests and Dummy Variables from the source books. Öğretim Yöntemleri:
Anlatım, Soru-Cevap
7 Maximum Likelihood (ML), Generalized Least Squares (GLS), and Instrumental Variables (IV) Estimators Reading the chapters on Maximum Likelihood (ML), Generalized Least Squares (GLS) and Instrumental Variables (IV) Estimators from the source books. Öğretim Yöntemleri:
Anlatım, Tartışma
8 Mid-Term Exam topic repetition Ölçme Yöntemleri:
Yazılı Sınav
9 Tests for Heteroscedasticity, Estimation Under Heterocedasticity Reading the sections on Heteroscedasticity Tests and Estimation Under Heteroscedasticity from the source books. Öğretim Yöntemleri:
Tartışma, Anlatım
10 OLS and Autocorrelated Disturbances, Testing For Autocerrelated Disturbances Reading the sections on OLS and Autocorrelated Disorders, Autocorrelation Tests from the source books. Öğretim Yöntemleri:
Anlatım, Tartışma, Soru-Cevap
11 Univariate Time series Modeling, Reading sections on univariate time series modeling from source books Öğretim Yöntemleri:
Anlatım, Tartışma
12 Identification, Estimation and Testing of ARIMA models Reading sections on specifying, estimating and testing ARIMA models from source books. Öğretim Yöntemleri:
Anlatım, Soru-Cevap
13 Autoregressive Distributed Lag Relationships Reading the sections on Autoregressive Distributed Lag Relations from the source books. Öğretim Yöntemleri:
Anlatım, Tartışma
14 Nonstationary Resressors Reading the sections on Non-Stationary Estimators from the source books. Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma
15 problem solving with data sets preparing data sets and topic repetition Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
16 End-of-Semester Assignment repetition of course topics Ölçme Yöntemleri:
Ödev
17 Term Exams repetition of course topics 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

Update Time: 27.02.2025 10:26