TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES |
| ECONOMETRICS PR. (ENGLISH) | |
| Code | ECMS401 |
| Name | Econometric Models I |
| Term | 2019-2020 Academic Year |
| Semester | 7. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 5 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Lisans Dersi |
| Type | Normal |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. KENAN LOPCU |
| Course Instructor |
Doç. Dr. HALİL İBRAHİM KESKİN
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
By the end of the course, students are expected to be completely mastered all aspects of the Least Squares Estimation and be familiar and able to use the methods Maximum Likelihood and Generalized Method of Moments
Course Content
This course is the first part of a two semester sequence designed to provide students with the applications of economic theory and econometric methods. To this end an overview of econometric methods and their applications believed to be the most useful will be presented. We will discuss how to use economic theory and data to estimate key parameters, test economic hypotheses, and predict economic outcomes
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Students completely master the OLS method. |
| LO02 | Learn the Maximum Likelihood Method and Generalized Method of Moments |
| LO03 | Students make statistical inferences of the models they estimate and interpret the results economically. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Explains Econometric concepts | 5 |
| PLO02 | - | Acquires basic Mathematics, Statistics and Operation Research concepts | 5 |
| PLO03 | - | Equipped with the foundations of Economics, and develops Economic models | 4 |
| PLO04 | - | Describes the necessary concepts of Business | 3 |
| PLO05 | - | Models problems with Mathematics, Statistics, and Econometrics | 5 |
| PLO06 | - | Estimates the model consistently and analyzes & interprets its results | 4 |
| 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 | 4 |
| 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 | 5 |
| PLO11 | - | Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study | 4 |
| 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 | 3 |
| PLO13 | - | Uses Turkish and at least one other foreign language, academically and in the business context | 5 |
| PLO14 | - | Good understanding, interpretation, efficient written and oral expression of the people involved | 4 |
| PLO15 | - | Improves his/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 | 5 |
| PLO17 | - | Recognizes and implements social, scientific, and professional ethic values | 5 |
| PLO18 | - | Follows actuality, and interprets the data about economic and social events | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Subject Matters and Methodology | Readings and problem set | |
| 2 | Least Squares Estimation | Readings and problem set | |
| 3 | Least Squares Estimation | Readings and problem set | |
| 4 | Method of Maximum Likelihood Estimation | Readings and problem set | |
| 5 | Method of Maximum Likelihood Estimation | Readings and problem set | |
| 6 | Statistical Inference Using the Maximum Likelihood Approach | Readings and problem set | |
| 7 | Statistical Inference Using the Maximum Likelihood Approach | Readings and problem set | |
| 8 | Mid-Term Exam | ||
| 9 | Method of Moments | Readings and problem set | |
| 10 | Method of Moments | Readings and problem set | |
| 11 | Statistical Inference Using the Method of Moments | Readings and problem set | |
| 12 | Generalized Method of Moments | Readings and problem set | |
| 13 | Generalized Method of Moments | Readings and problem set | |
| 14 | Other Estimation Techniques | Readings and problem set | |
| 15 | Other Estimation Techniques | Readings and problem set | |
| 16 | Term Exams | ||
| 17 | Term Exams |
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 | 12 | 12 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 114 | ||
| Total Workload / 25 (h) | 4,56 | ||
| ECTS | 5 ECTS | ||