Information
Code | IEM703 |
Name | Applied Econometrics I |
Term | 2023-2024 Academic Year |
Semester | . Semester |
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 Goal / Objective
In this course, it is aimed to model economic relations using econometric methods, to analyze them with Eviews package program and to interpret the models.
Course Content
This course includes the Eviews applications of two-variable regression model, multivariate regression model, dummy variable regression model, multicollinearity, heteroscedasticity and autocorrelation.
Course Precondition
None
Resources
Gujarati, D. N. and Porter, D. C. (2012). Temel Ekonometri. Translation from 5th Edition (Ümit Şenesen, Gülay Günlük Şenesen), Literatür Publishing, İstanbul.
Notes
Asteriou, D., & Hall, S. G. (2021). Applied econometrics. Bloomsbury Publishing.
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Applying two-variable regression estimation in Eviews package program |
LO02 | Performing the analysis of multivariate regression estimation |
LO03 | Exemplifying dummy variable regression model estimation |
LO04 | Discussing the remedial measures to fix the multicollinearity problem |
LO05 | Implementing the remedial measures for solving heteroscedasticity problem |
LO06 | Listing the tests related to the detection of the autocorrelation problem |
LO07 | Using statistical tools in the analysis of empirical researches |
LO08 | Calculating the descriptive statistics of variables |
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 that does not research | 4 |
PLO08 | Beceriler - Bilişsel, Uygulamalı | Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution | 3 |
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 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research | 4 |
PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | 4 |
PLO16 | 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 |
PLO17 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code | 5 |
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 | Gujarati and Porter (2012) - Temel Ekonometri (Chapter 2, Chapter 3) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
2 | Hypothesis testing and ANOVA | Gujarati and Porter (2012) - Temel Ekonometri (Chapter 5) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
3 | Estimation of various functional forms of regression models | Gujarati and Porter (2012) - Temel Ekonometri (Chapter 6) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
4 | Continued: Estimation of various functional forms of regression models | Gujarati and Porter (2012) - Temel Ekonometri (Chapter 6) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
5 | Estimation of multivariate regression model | Gujarati and Porter (2012) - Temel Ekonometri (Chapter 7) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
6 | Test of overall significance and tests of restrictions on coefficients | Gujarati and Porter (2012) - Temel Ekonometri (Chapter 8) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
7 | Chow structural break test | Gujarati and Porter (2012) - Temel Ekonometri (Chapter 9) | 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 and Porter (2012) - Temel Ekonometri (Chapter 9) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
10 | Estimation of seasonal dummy variable models | Gujarati and Porter (2012) - Temel Ekonometri (Chapter 9) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
11 | Tests for detecting multicollineartiy | Gujarati and Porter (2012) - Temel Ekonometri (Chapter 10) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
12 | Remedial measures to fix the problem of multicollinearity | Gujarati and Porter (2012) - Temel Ekonometri (Chapter 10) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
13 | Tests for detecting heteroscedasticity and remedial measures | Gujarati and Porter (2012) - Temel Ekonometri (Chapter 11) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
14 | Tests for detecting autocorrelation | Gujarati and Porter (2012) - Temel Ekonometri (Chapter 12) | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
15 | Remedial measures to fix the problem of autocorrelation | Gujarati and Porter (2012) - Temel Ekonometri (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 | 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 |