İKT721 Applied Econometrics

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

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

Update Time: 08.05.2024 11:29