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 | Prof. ŞENOL DURGUN |
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.
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2 |
Explain the general structure, operation and public policy formation process of administration.
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3 |
Relate the principles and rules of political behavior, behavior and leadership in organizations.
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4 |
Relate the knowledge of ecological, economic and social sustainability with information related to the field.
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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 |
Use information about his / her field in professional life and everyday life.
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2 |
Use information related to ecological, economic and social sustainability in professional life and everyday life.
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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 current political and administrative developments and the functioning of the democratic system by using the knowledge of political science and public administration.
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2 |
Define the basic concepts of management, urbanization, environmental policies, political and legal sciences.
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3 |
Relate professional knowledge of management, urbanization, environmental policies, politics and legal sciences to universal values
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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 |
Compare the administrative structures and country management models by using the theoretical knowledge in the field of political science and public.
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2 |
Organize events between the public, private sector and voluntary organizations.
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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 |
Collaborate with the people in the field of political science and public administration.
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2 |
By using the accumulation of knowledge in political science and public administration; manage project, event and social responsibility activities.
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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 |
Analyze existing structures with a critical approach based on universal legal norms and administrative structures.
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2 |
Apply the written and unwritten legal rules and ethical codes in his / her personal and professional life.
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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 |
Improve himself/herself by following the political and administrative agenda and the written-oral work on the agenda.
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2 |
Debate in the field of political science and public administration with different target groups in multicultural environments.
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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 |
Taking advantage of the existing history and theoretical knowledge of the field; interpret and analyze current issues, events and problems.
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2 |
Develop original plans and programs to guide the functioning of political and bureaucratic institutions.
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3 |
Develop alternative public policy proposals in the construction and implementation of sustainable and effective public policies.
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4 |
Design reform programs aimed at making and improving the functioning of political and administrative organizations.
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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 |