TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES |
| ECONOMETRICS PR. (ENGLISH) | |
| Code | ECMS404 |
| Name | Panel Data Analysis II |
| Term | 2018-2019 Academic Year |
| Semester | 8. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 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 |
The current term course schedule has not been prepared yet. Previous term groups and teaching staff are shown.
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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 second of two semesters designed to provide students with the application of Panel Data Analysis and implementation of methods. A detailed 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 completely master the fundamental aspects of the Panel Data Analaysis. |
| LO02 | Students estimate the basic panel data models and interpret them economically. |
| LO03 | Learn the fundamental panel methods of discrete and limited dependent variables. |
| LO04 | Estimate the panel models of discrete and limited dependent variables and interpret them economically |
| LO05 | Students become familiar with censored panel data models(Tobit Model). |
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 | 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 | 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 discrete and limited dependent variables | Readings and problem set | |
| 2 | Discrete and Limited Dependent Variables | Readings and problem set | |
| 3 | Discrete and Limited Dependent Variables | Readings and problem set | |
| 4 | Panel Logit Model | Readings and problem set | |
| 5 | Panel Logit Model | Readings and problem set | |
| 6 | Panel Probit Model | Readings and problem set | |
| 7 | Panel Probit Model | Readings and problem set | |
| 8 | Mid-Term Exam | ||
| 9 | Modelling Count Data | Readings and problem set | |
| 10 | Modelling Count Data | Readings and problem set | |
| 11 | Modelling Count Data: The Poisson Regression Model | Readings and problem set | |
| 12 | Modelling Count Data: The Poisson Regression Model | Readings and problem set | |
| 13 | Modelling Censored Data | Readings and problem set | |
| 14 | Panel Tobit Model | Readings and problem set | |
| 15 | Panel Tobit Model | Readings and problem set | |
| 16 | Term Exams | ||
| 17 | Term Exams |
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 | ||