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INTRODUCTION TO ECONOMETRICS PROGRAMME COURSE DESCRIPTION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
HIT332 INTRODUCTION TO ECONOMETRICS 5 3 3 5

GENERAL INFORMATION

Language of Instruction : Turkish
Level of the Course Unit : BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course : Elective
Mode of Delivery of the Course Unit -
Coordinator of the Course Unit Assoc.Prof. BÜLENT İLHAN
Instructor(s) of the Course Unit
Course Prerequisite No

OBJECTIVES AND CONTENTS

Objectives of the Course Unit: This course aims to build foundation to provide solutions for various economic problems based on statistics and to evaluate what needs to be done in order to make the right decisions during the economic forecasts for the future.
Contents of the Course Unit: Contents of the course include the subjects as in Multiple Regression, deviations from assumptions, autocorrelation, multiple linear connection, changing variance autoregressive models, distributed lagged models, dummy variable, systems of simultaneous equation.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)

Define the basic econometric concepts
Explain the econometrics-related terms, forecast and prediction techniques through case studies
Use the basic econometric estimation methods for future economic forecasts
Analyze the validity of economic theory by using econometric techniques
Compare the relationships between economic variables in econometric terms

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 Reading Definition, Goals, Steps In Econometrics Lecture & Question and Answer & Surveying
2 Reading Simple Linear Regression Analysis: Population Regression Function And Sample Regression Function Lecture & Question and Answer & Surveying
3 Reading Least Squares Methods And Assumptions Lecture & Question and Answer & Surveying
4 Reading Least Squares Features Of Estimators Lecture & Question and Answer & Surveying
5 Reading Confidence Intervals And Hypothesis Tests Lecture & Question and Answer & Surveying
6 Reading Confidence Intervals And Hypothesis Tests (Cont.) Lecture & Question and Answer & Surveying
7 Reading Individual Prediction And Average Prediction Lecture & Question and Answer & Surveying
8 - MID-TERM EXAM -
9 Reading Function Patterns In Regression Analysis Lecture & Question and Answer & Surveying
10 Reading Maximum Likelihood Method Lecture & Question and Answer & Surveying
11 Reading Multiple Regression Analysis: Notation And Assumptions Lecture & Question and Answer & Surveying
12 Reading Hypothesis Tests In Multiple Regression Lecture & Question and Answer & Surveying
13 Reading Hypothesis Tests In Multiple Regression (Cont.) Lecture & Question and Answer & Surveying
14 Reading Tests With two Regression Coefficients Lecture & Question and Answer & Surveying
15 Reading Limited Least Squares And Comparison Of Two Regression Lecture & Question and Answer & Surveying
16 - FINAL EXAM -
17 - FINAL EXAM -

SOURCE MATERIALS & RECOMMENDED READING

Wooldridge, J. M. (2013). Ekonometriye Giris 1 - Modern Yaklasim. Ankara: Nobel Akademik Publications
Wooldridge, J. M. (2013). Ekonometriye Giris 2 - Modern Yaklasim. Ankara: Nobel Akademik Publications

ASSESSMENT

Assessment & Grading of In-Term Activities Number of Activities Degree of Contribution (%) Description
Level of Contribution
0 1 2 3 4 5

CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES

KNOWLEDGE

Theoretical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Define the basic concepts of economics, administrative and human sciences. (Bloom 1)
2
Evaluate the economic environment and overall sustainability of firms. (Bloom 4)

KNOWLEDGE

Factual

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Relate principles and concepts of economics and finance with other disciplines. (Bloom 4)
2
Define principles, concepts, methods and theories related with economics and finance. (Bloom 1)

SKILLS

Cognitive

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Interpret the charts and tables related to the field. (Bloom 2)

SKILLS

Practical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Evaluate the theoretical models of economic policies which have direct or indirect effects by using the facts and dynamics of the economic system.(Bloom 4)
2
Analyze economic and financial reports. ((bloom 4)
3
Use basic mathematics, statistics and econometric methods and tools to solve economic and financial problems. (Bloom 3)
4
Interpret the operation of current economic, political and social events by using institutional information related with Economics and Finance.(Bloom 2)

OCCUPATIONAL

Autonomy & Responsibility

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Organize economic and financial activities in humanitarian and social terms with adherence to ethics. (Bloom 4).

OCCUPATIONAL

Learning to Learn

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Develop a critical perspective on national and international economic, political, social, financial and development problems. (bloom 6)

OCCUPATIONAL

Communication & Social

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Follow the agenda on economics, politics and social issues and improve himself/ herself. (bloom 6)

OCCUPATIONAL

Occupational and/or Vocational

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Analyze current issues and problems by using the structure and properties of Macro and Microeconomics and variables. (Bloom 4)
2
Evaluate the effectiveness of the general economic system and public policies and their effects on markets and basic economic variables.(Bloom 4)
3
Analyze the cause and effect relationships between the relevant economic variables. (Bloom 4)
4
Evaluate the expected trends and portfolio analyzes in interest and exchange rates within the framework of the general financial system. (Bloom 4)

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT

Workload for Learning & Teaching Activities

Type of the Learning Activites Learning Activities (# of week) Duration (hours, h) Workload (h)
Lecture & In-Class Activities 14 3 42
Preliminary & Further Study 14 3 42
Land Surveying 0 0 0
Group Work 0 0 0
Laboratory 0 0 0
Reading 14 2 28
Assignment (Homework) 0 0 0
Project Work 0 0 0
Seminar 0 0 0
Internship 0 0 0
Technical Visit 0 0 0
Web Based Learning 0 0 0
Implementation/Application/Practice 0 0 0
Practice at a workplace 0 0 0
Occupational Activity 0 0 0
Social Activity 0 0 0
Thesis Work 0 0 0
Field Study 0 0 0
Report Writing 0 0 0
Final Exam 1 1 1
Preparation for the Final Exam 1 7 7
Mid-Term Exam 1 1 1
Preparation for the Mid-Term Exam 1 6 6
Short Exam 0 0 0
Preparation for the Short Exam 0 0 0
TOTAL 46 0 127
Total Workload of the Course Unit 127
Workload (h) / 25.5 5
ECTS Credits allocated for the Course Unit 5,0