EKMZ301 Econometrics I

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

Information

Unit FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES
ECONOMETRICS PR.
Code EKMZ301
Name Econometrics I
Term 2019-2020 Academic Year
Semester 5. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. HASAN ALTAN ÇABUK
Course Instructor Prof. Dr. HASAN ALTAN ÇABUK (Güz) (A Group) (Ins. in Charge)
Prof. Dr. SEDA ŞENGÜL (Güz) (B Group) (Ins. in Charge)


Course Goal / Objective

This course Econometrics, Economics and Finance Sections are registered with the knowledge of basic mathematics and statistics İ.İ.B. School aims to teach students the methods of basic econometrics. This course titles contained in the above-mentioned branches of econometric applications for students who want to do the research aims to support their work areas

Course Content

Econometrics, econometrics methods, econometrics models

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Understands econometrics.
LO02 Establishes econometrics model.
LO03 Increases his/her knowledge of econometrics.
LO04 Makes econometric analysis.
LO05 Interprets results.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Explains Econometric concepts 5
PLO02 - Acquires basic Mathematics, Statistics and Operation Research concepts 4
PLO03 - Equipped with the foundations of Economics, and develops Economic models 3
PLO04 - Describes the necessary concepts of Business 2
PLO05 - Models problems with Mathematics, Statistics, and Econometrics 4
PLO06 - Estimates the model consistently and analyzes & interprets its results 4
PLO07 - Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems 5
PLO08 - Collects, edits, and analyzes data 4
PLO09 - Uses a package program of Econometrics, Statistics, and Operation Research 1
PLO10 - Effectively works, take responsibility, and the leadership individually or as a member of a team 3
PLO11 - Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study 3
PLO12 - 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 5
PLO13 - Uses Turkish and at least one other foreign language, academically and in the business context 4
PLO14 - Good understanding, interpretation, efficient written and oral expression of the people involved 2
PLO15 - Improves himself/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development 5
PLO16 - Questions traditional approaches and their implementation while developing alternative study programs when required 5
PLO17 - Recognizes and implements social, scientific, and professional ethic values 4
PLO18 - Follows actuality, and interprets the data about economic and social events 4


Week Plan

Week Topic Preparation Methods
1 Subject of Econometrics and History of Econometrics Students will be prepared by studying relevant subjects from source books according to weekly program
2 Some Basic Mathematics and Statistics Rules Students will be prepared by studying relevant subjects from source books according to weekly program
3 Mathematical form for Economics Theory Students will be prepared by studying relevant subjects from source books according to weekly program
4 Simple Linear Regression Model: OLS Estimation Students will be prepared by studying relevant subjects from source books according to weekly program
5 Simple Linear Regression Model: Properties of Econometrics and Assumptions Students will be prepared by studying relevant subjects from source books according to weekly program
6 Simple Linear Regression Model: Interval Estimation, Forecast, Test of Hypotesis Students will be prepared by studying relevant subjects from source books according to weekly program
7 Problem solving Students will be prepared by studying relevant subjects from source books according to weekly program
8 Mid-Term Exam Repeat subjects before exam
9 Multiple Linear Regression Model: OLS Estimation Students will be prepared by studying relevant subjects from source books according to weekly program
10 Multiple Linear Regression Model:Properties of Econometrics and Assumptions Students will be prepared by studying relevant subjects from source books according to weekly program
11 Multiple Linear Regression Model: OLS Estimation with Method of Deviation from Mean Students will be prepared by studying relevant subjects from source books according to weekly program
12 Multiple Linear Regression Model: Interval Estimation, Forecast, Test of Hypotesis Students will be prepared by studying relevant subjects from source books according to weekly program
13 Multiple Linear Regression Model: F test Students will be prepared by studying relevant subjects from source books according to weekly program
14 Structural equality tests: Chow Test Students will be prepared by studying relevant subjects from source books according to weekly program
15 Problem solving Students will be prepared by studying relevant subjects from source books according to weekly program
16 Term Exams Repeat subjects before exam
17 Term Exams Repeat subjects before exam


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


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: 01.05.2025 12:15