Information
Code | ECMZ403 |
Name | Applied Econometrics I |
Term | 2022-2023 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 |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator | Dr. Öğr. Üyesi FELA ÖZBEY |
Course Instructor |
Arş.Gör.Dr. SERA ŞANLI
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The goal of this course is to enable students to be able to analyze economic relations by modeling them through econometric estimation methods in Eviews econometric software and interpret model outputs.
Course Content
This course covers the Eviews software applications regarding two-variable regression model, multivariate regression model, dummy variable regression model, multicollinearity, heteroscedasticity and autocorrelation topics.
Course Precondition
None
Resources
Gujarati, Damodar N. (2004). Basic Econometrics. 4th Edition, McGraw-Hill Companies.
Notes
Enders, Walter. (2015). Applied Econometric Time Series. 4th Edition, Wiley.
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Executing data entry in Eviews package program |
LO02 | Interpreting the results of two-variable and multiple regression analyses |
LO03 | Constructing the correlation matrix of variables |
LO04 | Comparing econometric estimation methods |
LO05 | Tabulating regression analysis results |
LO06 | Applying the tests related to the detection of multicollinearity, heteroscedasticity and autocorrelation problems |
LO07 | Judging on remedial measures for solving multicollinearity, heteroscedasticity and autocorrelation problems |
LO08 | Testing the hypotheses using suitable statistical tools (t-test, F-test etc.) |
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 | Has the ability to analyze/interpret at the conceptual level to develop solutions to problems | 5 |
PLO07 | Beceriler - Bilişsel, Uygulamalı | Collects/analyses data | 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 which does not research | 4 |
PLO10 | Beceriler - Bilişsel, Uygulamalı | It develops traditional approaches, practices and methods into new working methods when it deems necessary | 4 |
PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | 4 |
PLO12 | 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 | |
PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the necessity of lifelong learning, it follows the current developments in the field / constantly renews itself | 3 |
PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses a package program of Econometrics, Statistics, and Operation Research | 5 |
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 | Gujarati (2004) - Basic Econometrics (Chapter 2, Chapter 3) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
2 | Hypotesis testing and ANOVA | Gujarati (2004) - Baisc Econometrics (Chapter 5) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
3 | Estimation of various functional forms of regression models | Gujarati (2004) - Basic Econometrics (Chapter 6) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
4 | Continued: Estimation of various functional forms of regression models | Gujarati (2004) - Basic Econometrics (Chapter 6) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
5 | Estimation of multivariate regression model | Gujarati (2004) - Basic Econometrics (Chapter 7) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
6 | Test of overall significance and tests of restrictions on coefficients | Gujarati (2004) - Basic Econometrics (Chapter 8) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
7 | Chow structural break test | Gujarati (2004) - Basic Econometrics (Chapter 8) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
8 | Midterm exam | Studying the course content | Ölçme Yöntemleri: Yazılı Sınav, Ödev, Proje / Tasarım |
9 | Estimation of dummy variable regression model | Gujarati (2004) - Basic Econometrics (Chapter 9) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
10 | Estimation of seasonal dummy variable models | Gujarati (2004) - Basic Econometrics (Chapter 9) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
11 | Tests for detecting multicollinearity | Gujarati (2004) - Basic Econometrics (Chapter 10) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
12 | Remedial measures to fix the problem of multicollinearity | Gujarati (2004) - Basic Econometrics (Chapter 10) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
13 | Tests for detecting heteroscedasticity and remedial measures | Gujarati (2004) - Basic Econometrics (Chapter 11) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
14 | Tests for detecting autocorrelation | Gujarati (2004) - Basic Econometrics (Chapter 12) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
15 | Remedial measures to fix the problem of autocorrelation | Gujarati (2004) - Basic Econometrics (Chapter 12) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
16 | Final Exam | Studying the whole course content | Ölçme Yöntemleri: Yazılı Sınav |
17 | Final Exam | Studying the whole course content | 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 | 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 |