ECMZ302 Econometrics II

5 ECTS - 3-0 Duration (T+A)- 6. Semester- 3 National Credit

Information

Unit FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES
ECONOMETRICS PR. (ENGLISH)
Code ECMZ302
Name Econometrics II
Term 2018-2019 Academic Year
Semester 6. 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
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. KENAN LOPCU
Course Instructor Prof. Dr. KENAN LOPCU (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

Providing theoretical equipment in analyzing economics relations. For this aim, understanding econometric definitions and concepts, doing statistical analysis and explaiing these.

Course Content

The problems of multicollinearity, heteroskedasticity and autocorrelation, econometric modelling, simultaneous equations models

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Defining and explaining the problem of multicollinearity
LO02 Detection of the problem of multicollinearity
LO03 Defining and imposing the remedial measures for multicollinearity
LO04 Defining and explaining the problem of heteroskedasticity
LO05 Detection of the problem of heteroskedasticity
LO06 Defining and imposing the remedial measures for heteroskedasticity
LO07 Defining and explaining the problem of autocorrelation
LO08 Detection of the problem of autocorrelation
LO09 Defining and imposing the remedial measures for autocrrelation
LO10 Defining model and diagnostic testing in modelling
LO11 Explaining simultaneous equations models and practicing proper estimation methods


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 2
PLO03 - Equipped with the foundations of Economics, and develops Economic models 4
PLO04 - Describes the necessary concepts of Business 0
PLO05 - Models problems with Mathematics, Statistics, and Econometrics 5
PLO06 - Estimates the model consistently and analyzes & interprets its results 5
PLO07 - Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems 4
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 0
PLO11 - Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study 0
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 3
PLO13 - Uses Turkish and at least one other foreign language, academically and in the business context 3
PLO14 - Good understanding, interpretation, efficient written and oral expression of the people involved 0
PLO15 - Improves his/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development 0
PLO16 - Questions traditional approaches and their implementation while developing alternative study programs when required 0
PLO17 - Recognizes and implements social, scientific, and professional ethic values 0
PLO18 - Follows actuality, and interprets the data about economic and social events 4


Week Plan

Week Topic Preparation Methods
1 The problem of multicollinearity and practical consequences of the problem Reading the textbook
2 The tests for detecting multicollinearity Reading the textbook
3 Remedial measures for multicollieanirity Reading the textbook
4 The problem of heteroskedasticity and practical consequences of the problem Reading the textbook
5 The tests for detecting heteroskedasticity Reading the textbook
6 Remedial measures for heteroskedasticty Reading the textbook
7 The problem of autocorrelation and practical consequences of the problem Reading the textbook
8 Midterm Exam Studying the course content
9 The tests for detecting autocorrelation Reading the textbook
10 Remedial measures for autocorrelation Reading the textbook
11 Model specification errors in econometric modelling Reading the textbook
12 Tests for specification erros Reading the textbook
13 The structure and content of simultaneous equations models Reading the textbook
14 The identification problem in simultaneous equations models Reading the textbook
15 Estimation methods in simultaneous equations models Reading the textbook
16 Final Exam Studying the whole course content
17 Final Exam Studying the whole course content


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 12:20