Information
Code | İKT721 |
Name | Applied Econometrics |
Term | 2024-2025 Academic Year |
Semester | . Semester |
Duration (T+A) | 3-0 (T-A) (17 Week) |
ECTS | 5 ECTS |
National Credit | 3 National Credit |
Teaching Language | Türkçe |
Level | Yüksek Lisans Dersi |
Type | Normal |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator |
Course Goal / Objective
The main aim of the course is to provide students with the ability to construct linear and nonlinear regression models related to finance or macroeconomics and to evaluate the results of forecasting models.
Course Content
Simple linear regression, multiple regression, indicator variables and bounded dependent variables, simultaneous-equation models, time series analysis, model building techniques when classical assumptions do not comply with observational assumptions, econometric model applications for economic data in economic hypothesis testing.
Course Precondition
There are no prerequisites.
Resources
Gujarati, D. N., Porter, D. C., Şenesen, Ü., & Günlük-Şenesen, G. (2012). Temel ekonometri. Literatür Yayıncılık.
Notes
Güriş, S., Çağlayan, E., & Güriş, B. (2013). Eviews ile temel ekonometri. Der Publishing.
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Comprehends the basics of econometric model. |
LO02 | Understands econometric methods. |
LO03 | Techniques needed to select econometric models uses. |
LO04 | Evaluates the estimation results. |
LO05 | Comprehends the features of the main model types. |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | Gains expertise in economics. | |
PLO02 | Bilgi - Kuramsal, Olgusal | Specifies the role of the market economy, the price advantage of the event. | |
PLO03 | Bilgi - Kuramsal, Olgusal | Explains basic macroeconomic problems such as unemployment, inflation, current account deficit and policies to solve these problems based on scientific sources. | |
PLO04 | Bilgi - Kuramsal, Olgusal | Faces with challenges, produces a numerical and policy options. | |
PLO05 | Bilgi - Kuramsal, Olgusal | Builds, decodes and interprets models by using quantitative and qualitative techniques | 5 |
PLO06 | Bilgi - Kuramsal, Olgusal | Learning the application of programme packages like SAS, RATS, SPSS, TSP, Win BUGS, EViews, etc to do analyses of empirical data. | 5 |
PLO07 | Bilgi - Kuramsal, Olgusal | Uses the theory of economics in analyzing the economic events | |
PLO08 | Bilgi - Kuramsal, Olgusal | Acquires the ability of analyzing in the conceptual level ,compares interprets, evaluates and synthesizes ideas in order to develop solutions to the problems. | 4 |
PLO09 | Bilgi - Kuramsal, Olgusal | Takes responsibility individually and / or in a team,leads a team and works effectively | |
PLO10 | Bilgi - Kuramsal, Olgusal | With the awareness of the necessity of life-long learning, follows the latest developments about his field and improves himself | |
PLO11 | Bilgi - Kuramsal, Olgusal | Speaks Turkish, and at least one other foreign language in accordance with the requirements of academic and business life. | |
PLO12 | Bilgi - Kuramsal, Olgusal | Questions traditional approaches, implementations, and methods ;develops and practises alternative study programs when required | |
PLO13 | Beceriler - Bilişsel, Uygulamalı | Knows where and how to find all scientific resources and data to do her research. | |
PLO14 | Beceriler - Bilişsel, Uygulamalı | Understands the necessity and importance of research in social sciences. | |
PLO15 | Beceriler - Bilişsel, Uygulamalı | Understands the relationship between economics and other branches of science. | 5 |
PLO16 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Expresses himself/herself accurately, both orally and in writing. | |
PLO17 | Yetkinlikler - Öğrenme Yetkinliği | Recognize and apply 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 |
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 multicollinearity | 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 | 4 | 56 |
Assesment Related Works | |||
Homeworks, Projects, Others | 0 | 0 | 0 |
Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
Final Exam | 1 | 18 | 18 |
Total Workload (Hour) | 128 | ||
Total Workload / 25 (h) | 5,12 | ||
ECTS | 5 ECTS |