Information
Course Goal / Objective
By the end of the course, students are expected to be completely mastered fundamental aspects of the Panel Data Analysis and be able to apply these methods to economic problems.
Course Content
This course is the first of two semesters designed to provide students with the application of Panel Data Anlysis and implementation of methods. an overview of panel data analysis and their applications believed to be the most useful will be presented.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Students grasp the fundamental methods of the Panel Data Analysis |
| LO02 | Students gain the ability to estimate the basic panel data models |
| LO03 | Students gain the ability to interpret economically the basic panel econometric models they estimate. |
| LO04 | Grasp the notion of the assumptions of the classic panel models |
| LO05 | Students gain the ability to control the violations of the assumptions of panel estimators. |
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 | 5 |
| 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 | 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 | 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 | 5 |
| 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 | 4 |
| PLO15 | - | Improves his/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development | 4 |
| 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 | 4 |
| PLO18 | - | Follows actuality, and interprets the data about economic and social events | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Basic concepts of panel data | Readings and problem set | |
| 2 | Panel Data Models | Readings and problem set | |
| 3 | Panel Data Models | Readings and problem set | |
| 4 | Pooled Least Squares Estimation | Readings and problem set | |
| 5 | Pooled Least Squares Estimation | Readings and problem set | |
| 6 | Estimation after Differencing | Readings and problem set | |
| 7 | Estimation after Differencing | Readings and problem set | |
| 8 | Mid-Term Exam | Problem Solving | |
| 9 | Fixed Effects Estimation | Readings and problem set | |
| 10 | Fixed Effects Estimation | Readings and problem set | |
| 11 | Random Effects Estimation | Readings and problem set | |
| 12 | Random Effects Estimation | Readings and problem set | |
| 13 | Assumptions of the Panel Model | Readings and problem set | |
| 14 | Relaxing the assumptions of the Panel Model | Readings and problem set | |
| 15 | Relaxing the assumptions of the Panel Model | Readings and problem set | |
| 16 | Term Exams | Problem Solving | |
| 17 | Term Exams | Problem Solving |
Assessment (Exam) Methods and Criteria
Current term shares have not yet been determined. Shares of the previous term are shown.
| 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 | ||