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Information
| Unit | FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES |
| ECONOMETRICS PR. | |
| Code | EKMS402 |
| Name | Econometric Models II |
| Term | 2019-2020 Academic Year |
| Semester | 8. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. SEDA ŞENGÜL |
| Course Instructor |
Prof. Dr. SEDA ŞENGÜL
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
By the end of the course, students are expected to be completely mastered all aspects of theTime Series Models, Univariate; Multivariate Time Series Models and be able to use different modelling methods in this regard.
Course Content
This course is the second of two semesters designed to provide students with the application of economic theory and econometric methods. A detailed overview of the econometric methods will be provided and the applications considered most useful will be presented. Economic inferences will be made with taking into account different data types and advanced estimation methods.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Economic infrastructure and economic models are created. |
| LO02 | Traditional approaches, applications and methods are examined. |
| LO03 | The maximum likelihood method is examined. |
| LO04 | Econometric techniques are applied to test economic theories. |
| LO05 | Knowledge on relevant issues and problems in economics is developed. |
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 | 4 |
| PLO03 | - | Equipped with the foundations of Economics, and develops Economic models | 4 |
| PLO04 | - | Describes the necessary concepts of Business | 2 |
| PLO05 | - | Models problems with Mathematics, Statistics, and Econometrics | 4 |
| 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 | 4 |
| 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 | 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 | 4 |
| 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 | 3 |
| PLO17 | - | Recognizes and implements social, scientific, and professional ethic values | 3 |
| PLO18 | - | Follows actuality, and interprets the data about economic and social events | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Time Series Models | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 2 | Time Series Models : a Classification | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 3 | Time Series Models : a Classification | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 4 | Univariate Time Series Models | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 5 | Univariate Time Series Models | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 6 | Multivariate Time Series Models | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 7 | Multivariate Time Series Models | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 8 | Mid-Term Exam | Students are prepared for the midterm exam. | |
| 9 | Volatility | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 10 | Modelling Volatility | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 11 | Modelling Time-Varying Volatility | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 12 | Univariate GARCH Models | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 13 | Univariate GARCH Models | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 14 | Multivariate GARCH Models | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 15 | Multivariate GARCH Models | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 16 | Term Exams | Students are prepared for the final exam. | |
| 17 | Term Exams | Students are prepared for the final exam. |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 20 |
| General Assessment | ||
| Midterm / Year Total | 100 | 20 |
| 1. Final Exam | - | 80 |
| 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 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||