TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES |
| ECONOMETRICS PR. (ENGLISH) | |
| Code | ECMZ301 |
| Name | Econometrics I |
| Term | 2019-2020 Academic Year |
| Semester | 5. 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 | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. KENAN LOPCU |
| Course Instructor |
Prof. Dr. KENAN LOPCU
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Providing theoretical equipment in analyzing economics relations. For this aim, understanding econometric definitions and concepts, doing statistical analysis and explaiing these.
Course Content
Two-variable regresssiıon and LS estimation method, classical linear regression model assumptions, estimation and statistical inference in regression models, regressions with dummy variables, violations of classical models assumptions
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explaining the concept of regression |
| LO02 | Explaining two-variable regression and imposing OLS estimatin method |
| LO03 | Analysing statistical inference for two-variable regression model |
| LO04 | Explaining various functional forms of regression models |
| LO05 | Defining multivariate regression model and statistical inference |
| LO06 | Explaining dummy variable regression models, estimation and statistical inference |
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 | 2 |
| PLO03 | - | Equipped with the foundations of Economics, and develops Economic models | 3 |
| 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 | 4 |
| PLO08 | - | Collects, edits, and analyzes data | 5 |
| PLO09 | - | Uses a package program of Econometrics, Statistics, and Operation Research | 1 |
| PLO10 | - | Effectively works, take responsibility, and the leadership individually or as a member of a team | 0 |
| PLO11 | - | Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study | 0 |
| 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 | 2 |
| PLO13 | - | Uses Turkish and at least one other foreign language, academically and in the business context | 0 |
| PLO14 | - | Good understanding, interpretation, efficient written and oral expression of the people involved | 0 |
| PLO15 | - | Improves his/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development | 0 |
| PLO16 | - | Questions traditional approaches and their implementation while developing alternative study programs when required | 0 |
| PLO17 | - | Recognizes and implements social, scientific, and professional ethic values | 0 |
| PLO18 | - | Follows actuality, and interprets the data about economic and social events | 2 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | The content of the concept of regression and basic information | reading the textbook | |
| 2 | Introduction to the estimation of two-variable regression | reading the textbook | |
| 3 | The content of LS estimation method, its assumptions and practicing the method | reading the textbook | |
| 4 | Properties of LS estimators | reading the textbook | |
| 5 | Confidence Interval estimation for two-variable regression model | reading the textbook | |
| 6 | Hypothesis testing for two-variable regression model | reading the textbook | |
| 7 | Functional forms of regression models | reading the textbook | |
| 8 | Midterm Exam | Studying the course content | |
| 9 | Introduction to multivariate regression analysis | reading the textbook | |
| 10 | The problem of estimation in multivariate regression model | reading the textbook | |
| 11 | Confidence interval and hypothesis tests in multivariate regression models | reading the textbook | |
| 12 | Restricted least squares: testing linear equality restirictions | reading the textbook | |
| 13 | Testing structural stability of regression models: The Chow test | reading the textbook | |
| 14 | Introduction to dummy variable regression models and ANOVA models | reading the textbook | |
| 15 | ANCOVA models, structural stability test by using dummies and seasonal dummy variables | reading the textbook | |
| 16 | Final Exam | Studying the whole course content | |
| 17 | Final Exam | 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 | 12 | 12 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 114 | ||
| Total Workload / 25 (h) | 4,56 | ||
| ECTS | 5 ECTS | ||