ECMS401 Econometric Models I

5 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Code ECMS401
Name Econometric Models I
Term 2024-2025 Academic Year
Semester 7. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. KENAN LOPCU
Course Instructor Doç. Dr. HALİL İBRAHİM KESKİN (A Group) (Ins. in Charge)


Course Goal / Objective

By the end of the course, students are expected to be completely mastered all aspects of the Least Squares Estimation and be familiar and able to use the methods Maximum Likelihood and Generalized Method of Moments

Course Content

This course is the first part of a two semester sequence designed to provide students with the applications of economic theory and econometric methods. To this end an overview of econometric methods and their applications believed to be the most useful will be presented. We will discuss how to use economic theory and data to estimate key parameters, test economic hypotheses, and predict economic outcomes

Course Precondition

No Prerequisites

Resources

Cameron, A. C., & Trivedi, P. K. (2010). Microeconometrics using stata (Vol. 2). College Station, TX: Stata press. Gujarathi, D. M. (2022). Gujarati: Basic Econometrics. McGraw-hill.

Notes

Related Lecture Note


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Students completely master the OLS method.
LO02 Learn the Maximum Likelihood Method and Generalized Method of Moments
LO03 Students make statistical inferences of the models they estimate
LO04 Learns the necessary software for the estimation of the relevant models.


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 3
PLO02 Bilgi - Kuramsal, Olgusal Acquires basic Mathematics, Statistics and Operation Research concepts 4
PLO03 Bilgi - Kuramsal, Olgusal Describes the necessary concepts of Business
PLO04 Beceriler - Bilişsel, Uygulamalı Equipped with the foundations of Economics, and develops Economic models 4
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics
PLO06 Beceriler - Bilişsel, Uygulamalı Has the ability to analyze/interpret at the conceptual level to develop solutions to problems 4
PLO07 Beceriler - Bilişsel, Uygulamalı Collects/analyses data 3
PLO08 Bilgi - Kuramsal, Olgusal Interprets the results analyzed with the model 4
PLO09 Beceriler - Bilişsel, Uygulamalı Combines the information obtained from different sources within the framework of academic rules in a field which does not research 3
PLO10 Beceriler - Bilişsel, Uygulamalı It develops traditional approaches, practices and methods into new working methods when it deems necessary 3
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team
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 4
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research 3
PLO15 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses Turkish and at least one other foreign language, academically and in the business context 3
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 4
PLO17 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on current economic and social issues
PLO18 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values


Week Plan

Week Topic Preparation Methods
1 Subject Matters and Methodology Readings and problem set Öğretim Yöntemleri:
Anlatım
2 Least Squares Estimation 1 Readings and problem set Öğretim Yöntemleri:
Anlatım
3 Least Squares Estimation 2 Readings and problem set Öğretim Yöntemleri:
Anlatım, Problem Çözme
4 Method of Maximum Likelihood Estimation 1 Readings and problem set Öğretim Yöntemleri:
Anlatım
5 Method of Maximum Likelihood Estimation 2 Readings and problem set Öğretim Yöntemleri:
Anlatım, Problem Çözme
6 Statistical Inference Using the Maximum Likelihood Approach 1 Readings and problem set Öğretim Yöntemleri:
Anlatım
7 Statistical Inference Using the Maximum Likelihood Approach 2 Readings and problem set Öğretim Yöntemleri:
Anlatım, Problem Çözme
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Method of Moments 1 Readings and problem set Öğretim Yöntemleri:
Anlatım
10 Method of Moments 2 Readings and problem set Öğretim Yöntemleri:
Anlatım
11 Statistical Inference Using the Method of Moments Readings and problem set Öğretim Yöntemleri:
Anlatım, Problem Çözme
12 Generalized Method of Moments 1 Readings and problem set Öğretim Yöntemleri:
Anlatım
13 Generalized Method of Moments 2 Readings and problem set Öğretim Yöntemleri:
Anlatım, Problem Çözme
14 Other Estimation Techniques1 Readings and problem set Öğretim Yöntemleri:
Anlatım, Problem Çözme
15 Other Estimation Techniques 2 Readings and problem set Öğretim Yöntemleri:
Problem Çözme
16 General application problem set Öğretim Yöntemleri:
Alıştırma ve Uygulama
17 Term Exams 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 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS

Update Time: 08.05.2024 12:33