Code | Name of the Course Unit | Semester | In-Class Hours (T+P) | Credit | ECTS Credit |
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HIT332 | INTRODUCTION TO ECONOMETRICS | 5 | 3 | 3 | 5 |
GENERAL INFORMATION |
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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 |
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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) |
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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 |
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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 |
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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 |
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Assessment & Grading of In-Term Activities | Number of Activities | Degree of Contribution (%) | Description |
Level of Contribution | |||||
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0 | 1 | 2 | 3 | 4 | 5 |
KNOWLEDGE |
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Theoretical |
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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)
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2 |
Evaluate the economic environment and overall sustainability of firms. (Bloom 4)
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KNOWLEDGE |
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Factual |
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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)
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2 |
Define principles, concepts, methods and theories related with economics and finance. (Bloom 1)
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SKILLS |
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Cognitive |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Interpret the charts and tables related to the field. (Bloom 2)
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SKILLS |
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Practical |
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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)
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2 |
Analyze economic and financial reports. ((bloom 4)
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3 |
Use basic mathematics, statistics and econometric methods and tools to solve economic and financial problems. (Bloom 3)
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4 |
Interpret the operation of current economic, political and social events by using institutional information related with Economics and Finance.(Bloom 2)
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OCCUPATIONAL |
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Autonomy & Responsibility |
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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).
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OCCUPATIONAL |
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Learning to Learn |
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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)
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OCCUPATIONAL |
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Communication & Social |
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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)
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OCCUPATIONAL |
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Occupational and/or Vocational |
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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)
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2 |
Evaluate the effectiveness of the general economic system and public policies and their effects on markets and basic economic variables.(Bloom 4)
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3 |
Analyze the cause and effect relationships between the relevant economic variables. (Bloom 4)
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4 |
Evaluate the expected trends and portfolio analyzes in interest and exchange rates within the framework of the general financial system. (Bloom 4)
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WORKLOAD & ECTS CREDITS OF THE COURSE UNIT |
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Workload for Learning & Teaching Activities |
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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 |