EKMZ404 Applied Econometrics II

4 ECTS - 3-0 Duration (T+A)- 8. Semester- 3 National Credit

Information

Unit FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES
ECONOMETRICS PR.
Code EKMZ404
Name Applied Econometrics II
Term 2017-2018 Academic Year
Semester 8. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. MEHMET ÖZMEN
Course Instructor Prof. Dr. MEHMET ÖZMEN (Bahar) (A Group) (Ins. in Charge)
Prof. Dr. MEHMET ÖZMEN (Bahar) (B Group) (Ins. in Charge)


Course Goal / Objective

Modelling economic relations by using econometric methods, their computer based applications and interpreting the models.

Course Content

DF and ADF unit root tests, Engel-Granger and Johansen cointegration tests, estimation of VEC model, estimation of ARIMA models, estimation of VAR model

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Building macroeconomic models using Eviews software
LO02 Revealing the time series properties of the variables involved in the model
LO03 Evaluating econometric estimation results
LO04 Analyzing short and long term relationships between variables
LO05 Discussing model estimation results obtained using data for Turkey
LO06 Carrying out DF, ADF, KPSS and PP unit root tests
LO07 Explaining the concepts of cointegration and error correction mechanism
LO08 Describing the dynamic relationships between variables


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explain the basic concepts and theorems in the fields of Econometrics, Statistics and Operations research 4
PLO02 Bilgi - Kuramsal, Olgusal Acquires basic Mathematics, Statistics and Operation Research concepts 3
PLO03 Bilgi - Kuramsal, Olgusal Describes the necessary concepts of Business
PLO04 Beceriler - Bilişsel, Uygulamalı Equipped with the foundations of Economics, and develops Economic models 5
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics 5
PLO06 Beceriler - Bilişsel, Uygulamalı Analyzes/interprets at the conceptual level to develop solutions to problems 5
PLO07 Beceriler - Bilişsel, Uygulamalı Collects/analyses data from reliable data sources for the purpose of study 5
PLO08 Beceriler - Bilişsel, Uygulamalı Interprets the results analyzed with the model 5
PLO09 Beceriler - Bilişsel, Uygulamalı Combines the information obtained from different sources within the framework of academic rules in a field of research 4
PLO10 Beceriler - Bilişsel, Uygulamalı Adapts traditional approaches, practices and methods to a new study when necessary 4
PLO11 Beceriler - Bilişsel, Uygulamalı Uses a package program of Econometrics, Statistics, and Operation Research 5
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team 4
PLO13 Yetkinlikler - Öğrenme Yetkinliği In addition to herself/himself professional development, constantly improves in scientific, cultural, artistic and social fields in line with interests and abilities
PLO14 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in its field. 3
PLO15 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses Turkish and at least one other foreign language, academically and in the business context
PLO16 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
PLO17 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on current economic and social issues 5
PLO18 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values


Week Plan

Week Topic Preparation Methods
1 İntroduction to time series Reading
2 Some Basic Concepts, Difference Equations, White Noise Process, AR, MA, ARMA and ARIMA models Readings ,Problem Set and Application
3 Box-Jenkins Forecasting Models (application) Readings ,Problem Set and Application
4 Random Walk Hypothesis, deterministic and stochastic trend, superious regression Readings ,Problem Set and Application
5 Non-Stationary Stochastic Processes Readings ,Problem Set and Application
6 Elimination of Time Series Trend: The Difference and Trend Stationarity Processes Readings ,Problem Set and Application
7 Testing of Stationarity , Stationarity Testing with the help of Autocorrelation Function (ACF) Readings ,Problem Set and Application
8 Midterm Exam
9 Testing of Stationarity with help of partial autocorrelation function (PACF), the Q statistic, LB, IDW Readings ,Problem Set and Application
10 Unit Root Tests for Stationarity: DF, ADF, PP, KPSS, DF-GLS, etc. and applications Readings ,Problem Set and Application
11 VAR analysis and applications Readings ,Problem Set and Application
12 Cointegration (co-integration) Analysis Introduction to Testing the Existence of co-integration Readings ,Problem Set and Application
13 Engle-Granger test, Engle-Granger and Yoo Approach, Johansen trace test statistic and the maximum eigenvalue statistics Readings ,Problem Set and Application
14 Error Correction Models and Applications Readings ,Problem Set and Application
15 Causality Analysis, Variance Decomposition and Impulse Response applications related functions Readings ,Problem Set and Application
16 Final Exam
17 Final Exam


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


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 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 7 7
Final Exam 1 18 18
Total Workload (Hour) 109
Total Workload / 25 (h) 4,36
ECTS 4 ECTS

Update Time: 01.05.2025 12:16