ECTS - Applied Econometrics
Applied Econometrics (ECON521) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
---|---|---|---|---|---|---|---|
Applied Econometrics | ECON521 | General Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | Turkish |
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Course Type | Elective Courses |
Course Level | Social Sciences Master's Degree |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture, Discussion, Question and Answer, Drill and Practice, Problem Solving. |
Course Lecturer(s) |
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Course Objectives | The aim of this course is to introduce students to the study of econometrics, which deals with the application of statistical methods to test economic theory. Econometrics uses observational data to estimate economic relationships, test hypotheses about economic behaviour, and predict future values of economic variables. Software applications are introduced during the course in order to provide hands-on experience with data collection, analysis and interpretation. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Modeling linear regressions, bivariate and multivariate regression techniques and their applications, model specification problems, parameter estimation problems, nonlinear regression models, data handling problems, simultenaous equation models, restricted regression models, time series, nonstationary series and autocorrelation and panel data. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Review of Basic Statistics - Descriptive Statistics, Probability and Random variables; Introduction – The Methodology of Economics | Gujarati, Introduction: pp. 1-13 |
2 | The Nature of Regression Analysis – Causation, Correlation and Types of Data | Gujarati, Chapter 1: pp. 15-32 |
3 | Two Variable Regression Model: Some Basic Ideas | Gujarati, Chapter 2: pp. 37-52 |
4 | Two Variable Regression Model: The Problem of Estimation | Gujarati, Chapter 3: pp. 58-105 |
5 | Two Variable Regression Model: The Problem of Estimation; | Gujarati, Chapter 3: pp. 58-105 |
6 | The Normality Assumption: Classical Normal Linear Regression Model | Gujarati, Chapter 4: pp. 107-113 |
7 | Two-Variable Regression: Interval Estimation and Hypothesis Testing | Gujarati, Chapter 5: pp. 119-133 |
8 | Two-Variable Regression Model: Interval Estimation and Hypothesis Testing | Gujarati, Chapter 5: pp. 134-150 |
9 | MIDTERM EXAM | |
10 | Introduction to Eviews | Class Handouts |
11 | Extensions of the Two-Variable Regression Model: Scaling, Functional Forms | Gujarati, Chapter 6: pp. 164-193 |
12 | Multiple Regression Model: The Problem of Estimation | Gujarati, Chapter 7: pp. 202-232 |
13 | Multiple Regression Model: The Problem of Inference | Gujarati, Chapter 8: pp. 248-263 |
14 | Multiple Regression Model: The Problem of Inference | Gujarati, Chapter 8: pp. 264-280 |
15 | General Review | |
16 | Final Exam |
Sources
Course Book | 1. Gujarati, Damodar N. (2003) Basic Econometrics, 4th Edition, New York and Boston: McGraw-Hill. |
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2. Gujarati, Damodar N. (2003) Temel Ekonometri, Literatür Kitabevi, McGraw-Hill. | |
Other Sources | 3. Wooldridge, Jeffrey (2008) Introductory Econometrics: A Modern Approach (with Economic Applications), 4th Edition, Cengage Learning. |
4. Peter J. Kennedy (1998) A Guide to Econometrics, 4th Edition, MIT Press. | |
5. Ramanathan, R. (2002), Introductory Econometrics with Applications, 5th edition, Orlando, FL: Harcourt College Publishers. | |
6. Hill, R.C., Griffiths, W.E. and G. G. Judge (2001) Undergraduate Econometrics, 2nd Edition, John Wiley and Sons, Inc. | |
7. Hill, R.C., Griffiths, W.E. and G. G. Judge (2000) Using Eviews For Undergraduate Econometrics, 2nd Edition, Wiley. | |
8. Asteriou, D. (2006) Applied Econometrics: A Modern Approach using EViews and Microfit, Palgrave-Macmillan. |
Evaluation System
Requirements | Number | Percentage of Grade |
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Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 5 | 25 |
Presentation | - | - |
Project | - | - |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 1 | 30 |
Final Exam/Final Jury | 1 | 45 |
Toplam | 7 | 100 |
Percentage of Semester Work | |
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Percentage of Final Work | 100 |
Total | 100 |
Course Category
Core Courses | X |
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Major Area Courses | |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
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1 | 2 | 3 | 4 | 5 | ||
1 | He/she will be competent in evaluating basic concepts and the conceptual interrelations as well as their reflections on theoretical and practical levels. | |||||
2 | He/she will have the knowledge of the basic methodological approaches, methods and research technics and their implementations. | |||||
3 | Evaluating the contribution of public relation and advertising theories and applications to the existing/potential occasions and problems in the national and international area. | |||||
4 | Being aware of the ethics of public relations occupation and having the consciousness of occupational responsibility. | |||||
5 | Being able to plan and apply strategic communication processes in the fields of public communications, public opinion building, agenda determination, setting, orientation and managing. | |||||
6 | Creating the sustainable development and quality insight oriented to concepts such as; corporate communication, corporate identity, corporate culture, corporate citizenship, corporate loyalty, reputation, value, social responsibility, image management, relationship management, perception management, emotional intelligence, human resource, etc. | |||||
7 | To have a through knowledge of the communication methodology directed to private sector, public sector and civil society | |||||
8 | Having theoretical knowledge on information communication technologies, understanding its reflections in the society and using this knowledge both in theoretical and application. | |||||
9 | Come to conclusions by connecting and analyzing data on social sciences and using these conclusions in the field of public relations | |||||
10 | Reaching current information about the discipline by researching the national and international literature in the field of public relations and publicity. | |||||
11 | Reaching scientific results by defining the right method/techniques directed to the purpose of the research. | |||||
12 | Come to conclusions by connecting and analyzing data on social sciences and using these conclusions in the field of public relations. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 16 | 4 | 64 |
Presentation/Seminar Prepration | |||
Project | |||
Report | |||
Homework Assignments | |||
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 2 | 2 |
Prepration of Final Exams/Final Jury | 1 | 3 | 3 |
Total Workload | 117 |