COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Econometric Models I * ECMS   401 7 3 3 5

Prerequisites and co-requisites
Recommended Optional Programme Components None

Language of Instruction English
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Prof. Dr.Dr. Kenan LOPCU
Instructors
Dr. Öğr. ÜyesiHALİL İBRAHİM KESKİN1. Öğretim Grup:A
 
Assistants
Goals
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
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

Learning Outcomes
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Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Explains Econometric concepts
X
2
Acquires basic Mathematics, Statistics and Operation Research concepts
X
3
Equipped with the foundations of Economics, and develops Economic models
X
4
Describes the necessary concepts of Business
X
5
Models problems with Mathematics, Statistics, and Econometrics
X
6
Estimates the model consistently and analyzes & interprets its results
X
7
Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems
X
8
Collects, edits, and analyzes data
X
9
Uses a package program of Econometrics, Statistics, and Operation Research
X
10
Effectively works, take responsibility, and the leadership individually or as a member of a team
X
11
Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study
X
12
Develops the ability of using different resources in the form of academic rules, synthesis the information gathered, and effective presentation in an area which has not been studied
X
13
Uses Turkish and at least one other foreign language, academically and in the business context
X
14
Good understanding, interpretation, efficient written and oral expression of the people involved
X
15
Improves his/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development
X
16
Questions traditional approaches and their implementation while developing alternative study programs when required
X
17
Recognizes and implements social, scientific, and professional ethic values
X
18
Follows actuality, and interprets the data about economic and social events
X

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 Subject Matters and Methodology Readings and problem set
2 Least Squares Estimation Readings and problem set
3 Least Squares Estimation Readings and problem set
4 Method of Maximum Likelihood Estimation Readings and problem set
5 Method of Maximum Likelihood Estimation Readings and problem set
6 Statistical Inference Using the Maximum Likelihood Approach Readings and problem set
7 Statistical Inference Using the Maximum Likelihood Approach Readings and problem set
8 Midterm
9 Method of Moments Readings and problem set
10 Method of Moments Readings and problem set
11 Method of Moments Readings and problem set
12 Generalized Method of Moments Readings and problem set
13 Generalized Method of Moments Readings and problem set
14 Other Estimation Techniques Readings and problem set
15 Other Estimation Techniques Readings and problem set
16-17 Final Exam

Recommended or Required Reading
Textbook
Additional Resources