ECMZ403 Applied Econometrics I

4 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Unit FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES
ECONOMETRICS PR. (ENGLISH)
Code ECMZ403
Name Applied Econometrics I
Term 2017-2018 Academic Year
Semester 7. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi FELA ÖZBEY
Course Instructor Yrd.Doç.Dr. CEVAT BİLGİN (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

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

Course Content

Eviews applications of two-variable regression, multivariate regression, dummy variable regression, multicollinearity, heteroskedasticity and autocrrelation

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Estimating two-variable regression model and explaining the estimation
LO02 Estimating multivariate regression model and explaining the estimation
LO03 Estimating dummy variable regression model and explaining the estimation
LO04 Imposing the tests for detecting the problem of multicollinearity and applying remedail measures for fixing the problem
LO05 Imposing the tests for detecting the problem of heteroskedasticity and applying remedail measures for fixing the problem
LO06 Imposing the tests for detecting the problem of autocorrelation and applying remedail measures for fixing the problem


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 Bilgi - Kuramsal, Olgusal 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 follows the current developments in the field / constantly renews itself 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 Estimation of two-variable regression modl Reading the textbook
2 Hypotesis testing and ANOVA Reading the textbook
3 Estimation of various functional forms of regression models Reading the textbook
4 continue: Estimation of various functional forms of regression models Reading the textbook
5 Estimation of multivariate regression model Reading the textbook
6 Test of overall significance and tests of restrictions on coefficients Reading the textbook
7 Chow parameter stability test Reading the textbook
8 Midterm exam Studying the course content
9 Estimation of dummy variable regression model Reading the textbook
10 Estimation of seasonal dummy variable models Reading the textbook
11 Tests for detecting multicollineartiy Reading the textbook
12 Remedial measures to fix the problem of multicollinearity Reading the textbook
13 Tests for detecting heteroskedasticity and remedial measures Reading the textbook
14 Tests for detecting autocorrelation Reading the textbook
15 Remedial measures to fix the problem of autocorrelation Reading the textbook
16 Final Exam Studying the whole course content
17 Final Exam Studying the whole course content


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 12:21