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Information
| Unit | FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES |
| ECONOMETRICS PR. | |
| Code | EKMZ403 |
| Name | Applied Econometrics I |
| Term | 2018-2019 Academic Year |
| Semester | 7. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. MEHMET ÖZMEN |
| Course Instructor |
Prof. Dr. MEHMET ÖZMEN
(Güz)
(A Group)
(Ins. in Charge)
Prof. Dr. MEHMET ÖZMEN (Güz) (B Group) (Ins. in Charge) |
Course Goal / Objective
It has been aimed to model economic relations by using econometric methods, their computer based applications and interpret the models.
Course Content
Eviews applications of two-variable regression, multivariate regression, dummy variable regression, multicollinearity, heteroskedasticity and autocorrelation
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Estimating two-variable regression model and explaining the estimation |
| LO02 | Estimating multivariate regression model and explaining the estimation |
| LO03 | Estimating dummy variable regression model and explaining the estimation |
| LO04 | Imposing the tests for detecting the problem of multicollinearity and applying remedail measures for fixing the problem |
| LO05 | Imposing the tests for detecting the problem of heteroskedasticity and applying remedail measures for fixing the problem |
| LO06 | Imposing the tests for detecting the problem of autocorrelation and applying remedail measures for fixing the problem |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Explains Econometric concepts | 4 |
| PLO02 | - | Acquires basic Mathematics, Statistics and Operation Research concepts | 4 |
| PLO03 | - | Equipped with the foundations of Economics, and develops Economic models | 4 |
| PLO04 | - | Describes the necessary concepts of Business | 0 |
| PLO05 | - | Models problems with Mathematics, Statistics, and Econometrics | 5 |
| PLO06 | - | Estimates the model consistently and analyzes & interprets its results | 5 |
| PLO07 | - | Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems | 5 |
| PLO08 | - | Collects, edits, and analyzes data | 5 |
| PLO09 | - | Uses a package program of Econometrics, Statistics, and Operation Research | 5 |
| PLO10 | - | Effectively works, take responsibility, and the leadership individually or as a member of a team | 4 |
| PLO11 | - | Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study | 3 |
| PLO12 | - | Develops the ability of using different resources in the form of academic rules, synthesis the information gathered, and effective presentation in an area which has not been studied | 4 |
| PLO13 | - | Uses Turkish and at least one other foreign language, academically and in the business context | 3 |
| PLO14 | - | Good understanding, interpretation, efficient written and oral expression of the people involved | 3 |
| PLO15 | - | Improves himself/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development | 3 |
| PLO16 | - | Questions traditional approaches and their implementation while developing alternative study programs when required | 4 |
| PLO17 | - | Recognizes and implements social, scientific, and professional ethic values | 4 |
| PLO18 | - | Follows actuality, and interprets the data about economic and social events | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Estimation of two-variable regression modl | Reading the textbook | |
| 2 | Hypotesis testing and ANOVA | Reading the textbook | |
| 3 | Estimation of various functional forms of regression models | Reading the textbook | |
| 4 | continue: Estimation of various functional forms of regression models | Reading the textbook | |
| 5 | Estimation of multivariate regression model | Reading the textbook | |
| 6 | Test of overall significance and tests of restrictions on coefficients | Reading the textbook | |
| 7 | Chow parameter stability test | Reading the textbook | |
| 8 | Mid-Term Exam | Studying the course content | |
| 9 | Estimation of dummy variable regression model | Reading the textbook | |
| 10 | Estimation of seasonal dummy variable models | Reading the textbook | |
| 11 | Tests for detecting multicollineartiy | Reading the textbook | |
| 12 | Remedial measures to fix the problem of multicollinearity | Reading the textbook | |
| 13 | Tests for detecting heteroskedasticity and remedial measures | Reading the textbook | |
| 14 | Tests for detecting autocorrelation | Reading the textbook | |
| 15 | Remedial measures to fix the problem of autocorrelation | Reading the textbook | |
| 16 | Term Exams | Studying the whole course content | |
| 17 | Term Exams | Studying the whole course content |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 7 | 7 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 109 | ||
| Total Workload / 25 (h) | 4,36 | ||
| ECTS | 4 ECTS | ||