ECTS - Applied Microeconomics
Applied Microeconomics (ECON504) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Applied Microeconomics | ECON504 | General Elective | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | Turkish |
|---|---|
| Course Type | Elective Courses |
| Course Level | Social Sciences Master's Degree |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Discussion, Question and Answer, Brain Storming. |
| Course Lecturer(s) |
|
| Course Objectives | 1. To introduce the applications in Microeconomics 2. To endow the students with the required statistical and econometric tools |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Introduction to Stata, applied analyses in regression models, applied analyses in qualitative information, applied analyses in heterosckedasticity, basic regression analysis with time series data, serial correlation in time series regressions, applications of simple panel data methods, applications of advanced panel data methods. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction to Stata I | Handouts |
| 2 | Introduction to Stata II | Handouts |
| 3 | Introduction to Stata III | Handouts |
| 4 | Applied Analyses in Regression Models I | Wooldridge, p. 22-100 |
| 5 | Applied Analyses in Regression Models II | Wooldridge, p. 100-167 |
| 6 | Applied Analyses in Qualitative Information | Wooldridge, p. 225-264 |
| 7 | Applied Analyses in Heterosckedasticity | Wooldridge, p. 264-300 |
| 8 | Midterm | |
| 9 | Basic Regression Analysis with Time Series Data I | Wooldridge, p. 340-360 |
| 10 | Basic Regression Analysis with Time Series Data II | Wooldridge, p. 360-377 |
| 11 | Serial Correlation in Time Series Regressions | Wooldridge, p. 408-443 |
| 12 | Applications of Simple Panel Data Methods I | Wooldridge, p. 444-460 |
| 13 | Applications of Simple Panel Data Methods II | Wooldridge, p. 460-481 |
| 14 | Applications of Advanced Panel Data Methods I | Wooldridge, p. 481-495 |
| 15 | Applications of Advanced Panel Data Methods II | Wooldridge, p. 495-506. |
Sources
| Course Book | 1. Introductory Econometrics, Jeffrey Wooldridge; South-Western; 2009. |
|---|---|
| Other Sources | 2. An Introduction to Stata Programming, Christopher F. Baum; Stata Press, 2009. |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | 10 | 5 |
| Presentation | 1 | 15 |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 35 |
| Final Exam/Final Jury | 1 | 45 |
| Toplam | 13 | 100 |
| Percentage of Semester Work | |
|---|---|
| Percentage of Final Work | 100 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | To compare main microeconomic theories, approaches and make a critical evaluation of each | X | ||||
| 2 | To compare main macroeconomic theories, approaches and make a critical evaluation of each | X | ||||
| 3 | To apply mathematical modeling | X | ||||
| 4 | To employ statistical and econometric tools in analyzing an economic phenomena | X | ||||
| 5 | To analyze the main economic indicators and comment on them | X | ||||
| 6 | To acquire theoretical knowledge through literature survey and derive empirically confirmable hypothesis | X | ||||
| 7 | To make a research design and carry it out within predetermined time frames | X | ||||
| 8 | To be able to develop new approaches for complex problems in applied economics and/or apply statistical/econometric tools to new areas/problems | X | ||||
| 9 | To formulate and present policy recommendations based on academic research | X | ||||
| 10 | To combine economic knowledge with other disciplines in order to solve problems requiring scientific expertise | X | ||||
| 11 | To use information technology effectively | X | ||||
| 12 | To continue learning and undertake advanced research independently | X | ||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | |||
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 4 | 64 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | 10 | 1 | 10 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 1 | 10 | 10 |
| Prepration of Final Exams/Final Jury | 1 | 15 | 15 |
| Total Workload | 99 | ||