IEM703 Applied Econometrics I

6 ECTS - 3-0 Duration (T+A)- 2. Semester- 3 National Credit

Information

Unit INSTITUTE OF SOCIAL SCIENCES
ECONOMETRICS (MASTER) (WITH THESIS)
Code IEM703
Name Applied Econometrics I
Term 2018-2019 Academic Year
Term 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. MEHMET ÖZMEN
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

It has been aimed to model economic relations by using econometric methods, their computer-based applications and interpret the models.

Course Content

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

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 Explains contemporary concepts about Econometrics, Statistics, and Operation Research 4
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 3
PLO04 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems 5
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics 5
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 5
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 4
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently 5
PLO11 Beceriler - Bilişsel, Uygulamalı Collects/analyzes data in a purposeful way 5
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Converts its findings into a master's thesis or a professional report in Turkish or a foreign language 4
PLO13 Beceriler - Bilişsel, Uygulamalı Develops solutions for organizations using Econometrics, Statistics, and Operation Research 5
PLO14 Beceriler - Bilişsel, Uygulamalı Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research 5
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 4
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
PLO19 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on economic and social events by following current issues 4
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values


Week Plan

Week Topic Preparation Methods
1 Estimation of two variable regression model Reading the textbook
2 Hypothesis 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 Mid-Term 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 Term Exams Studying the whole course content
17 Term Exams Studying the whole course content


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: 29.04.2025 11:38