ECTS - Econometrics II
Econometrics II (IKT302) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Econometrics II | IKT302 | Area Elective | 3 | 0 | 0 | 3 | 6 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | Turkish |
|---|---|
| Course Type | Elective Courses |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Drill and Practice. |
| Course Lecturer(s) |
|
| Course Objectives | This course is a continuation of ECON 301, which set out the basic assumptions of the classical linear regression model (CLRM). The assumptions of the CLRM are usually not satisfied in econometric applications. This course will look at: the detection and consequences of violations of the CLRM including multicollinearity, heteroskedasticity, autocorrelation, and model misspecification, as well as a selection of further topics in econometrics including model specification, diagnostic testing. Applications to real world data are emphasized to illustrate the concepts introduced in the course |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Review of regression and hypothesis testing; dummy variable regression models; multicollinearity; heteroskedasticity; autocorrelation; model misspecification; model selection criteria; outlier analysis. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Review of material learned in ECON 301 | Class Handouts |
| 2 | Dummy Variable Regression Models | Gujarati, Chapter 9: pp. 297-309 |
| 3 | Special Applications of Dummy Variables | Gujarati, Chapter 9: pp. 310-323 |
| 4 | Nature and Consequences of Multicollinearity | Gujarati, Chapter 10: pp. 335-358 |
| 5 | Multicollinearity: Detection and Remedial Measures | Gujarati, Chapter 10: pp. 359-375 |
| 6 | EViews Applications | Class Handouts |
| 7 | MIDTERM EXAM | |
| 8 | Nature and Consequences of Heteroskedasticity | Gujarati, Chapter 11: pp. 387-400 |
| 9 | Heteroskedasticity: Detection and Remedial Measures | Gujarati, Chapter 11: pp. 400-428 |
| 10 | Nature and Consequences of Autocorrelation | Gujarati, Chapter 12: pp. 441-461 |
| 11 | Autocorrelation: Detection and Remedial Measures | Gujarati, Chapter 12: pp. 462-489 |
| 12 | Econometric Modeling: Model Misspecification, Model Selection Criteria | Gujarati, Chapter 13: pp. 506-529 |
| 13 | Econometric Modeling: Diagnostic Testing and Outlier Analysis | Gujarati, Chapter 13: pp. 530-547 |
| 14 | EViews Applications | Class Handouts |
| 15 | Review | |
| 16 | Final Exam |
Sources
| Course Book | 1. Gujarati, Damodar N. (2003) Temel Ekonometri, Literatür Kitabevi, McGraw-Hill. |
|---|---|
| Other Sources | 2. Wooldridge, Jeffrey (2008) Introductory Econometrics: A Modern Approach (with Economic Applications), 4th Edition, Cengage Learning. |
| 3. Peter J. Kennedy (1998) A Guide to Econometrics, 4th Edition, MIT Press. | |
| 4. Ramanathan, R. (2002), Introductory Econometrics with Applications, 5th edition, Orlando, FL: Harcourt College Publishers. | |
| 5. Hill, R.C., Griffiths, W.E. and G. G. Judge (2001) Undergraduate Econometrics, 2nd Edition, John Wiley and Sons, Inc. | |
| 6. Hill, R.C., Griffiths, W.E. and G. G. Judge (2000) Using Eviews For Undergraduate Econometrics, 2nd Edition, Wiley. | |
| 7. Asteriou, D. (2006) Applied Econometrics: A Modern Approach using EViews and Microfit, Palgrave-Macmillan. |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | 1 | 10 |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | - | - |
| Project | 1 | 20 |
| Report | - | - |
| Seminar | 1 | 30 |
| Midterms Exams/Midterms Jury | - | - |
| Final Exam/Final Jury | 1 | 30 |
| Toplam | 4 | 90 |
| Percentage of Semester Work | 70 |
|---|---|
| Percentage of Final Work | 30 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| 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 | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Have an advanced level of basic theoretical knowledge on the field of public finance in order to obtain the practical gains. | X | ||||
| 2 | Identify the issues related to the field of public finance by dealing with it within the framework of the methodological approach, and report and evaluate it from an analytical point of view. | X | ||||
| 3 | Understand, interpret and analyse economic and financial events, equipped with knowledge of certain disciplines, especially economics, business and law. | X | ||||
| 4 | Develop policies and strategies for solving the problems by establishing the cause-effect relationship related to fiscal and economic issues through theoretical information and the discussions. | X | ||||
| 5 | Establish the relationship of public financial management and budget theory with public policies, he/she makes strong budget analysis, develop analysis on public finance and makes a link with the policy implementation | X | ||||
| 6 | Understand the tax theory, learning the legal structure, following the legal and financial developments and gaining a professional competence in tax matters effectively develop it. | X | ||||
| 7 | Have knowledge of accounting systems in private and public institutions and businesses, analyze and interpret the financial and financial structure of institutions with the knowledge and competence gained. | X | ||||
| 8 | Gain knowledge of macroeconomic framework and growth theory, including theoretical and country examples, evaluates economic developments from a theoretical perspective. | X | ||||
| 9 | Use foreign language in financial and economic fields, follow international literature, communicate on professional issues. | X | ||||
| 10 | Benefit from technological developments in studies specific to its field by using information technologies, digital developments and common software. | X | ||||
| 11 | Use qualitative and quantitative methods for the analysis of economic, financial, social and institutional events. | X | ||||
| 12 | While fulfilling its academic and professional responsibilities, develop an approach that respects s United Nations sustainable development goals, freedoms, rights of the disadvantaged groups, environment, cultural and moral values. | X | ||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| 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 | 6 | 96 |
| 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 | 2 | 2 |
| Total Workload | 148 | ||