TYPE OF COURSE UNIT | Elective Course |
LEVEL OF COURSE UNIT | Master's Degree With Thesis |
YEAR OF STUDY | - |
SEMESTER | - |
NUMBER OF ECTS CREDITS ALLOCATED | 10 |
NAME OF LECTURER(S) | Associate Professor Didem Pekkurnaz
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LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students; 1) learn quantitative measurement techniques of causality relations between economic variables, applications of LOGIT, PROBIT, TOBIT models, defining econometric models, making predictions and using econometric techniques in economic analysis. 2) organize and test econometric models, interpret them, and use computer applications.
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MODE OF DELIVERY | Face to face |
PRE-REQUISITES OF THE COURSE | No |
RECOMMENDED OPTIONAL PROGRAMME COMPONENT | None |
COURSE DEFINITION | This course deals with advanced econometric modeling methods developed to solve econometric problems that are frequently encountered in the applications of economic analysis with real data. |
COURSE CONTENTS | WEEK | TOPICS |
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1st Week | Specifying Models (Macro and Micro) | 2nd Week | Model Selection | 3rd Week | One Equation, Simple Regression | 4th Week | One Equation, Simple Regression | 5th Week | One Equation, Multiple Regression | 6th Week | 2 SLS Method | 7th Week | 3 SLS Method, ML Method | 8th Week | Midterm | 9th Week | SUR Method | 10th Week | LOGIT Method | 11th Week | PROBIT Method | 12th Week | TOBIT Method | 13th Week | Dynamic Models | 14th Week | Dynamic Models |
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RECOMENDED OR REQUIRED READING | R. Ramanathan, Inroductory Econometrics with Applications, 3rd ed. New York: Dryden Press-Harcourt Brace College Publisher, 1995. R. Pindyck and D. Rubinfield, Econometric Models and Econometric Forecasts, 3rd ed. New York: McGraw- Hill, 1991. |
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Lecture,Discussion |
ASSESSMENT METHODS AND CRITERIA | | Quantity | Percentage(%) |
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Mid-term | 1 | 40 | Quiz | 1 | 10 | Total(%) | | 50 | Contribution of In-term Studies to Overall Grade(%) | | 50 | Contribution of Final Examination to Overall Grade(%) | | 50 | Total(%) | | 100 |
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ECTS WORKLOAD |
Activities |
Number |
Hours |
Workload |
Midterm exam | 1 | 2 | 2 | Preparation for Quiz | 1 | 55 | 55 | Individual or group work | 14 | 5 | 70 | Preparation for Final exam | 1 | 70 | 70 | Course hours | 14 | 3 | 42 | Preparation for Midterm exam | 1 | 60 | 60 | Laboratory (including preparation) | | | | Final exam | 1 | 2 | 2 | Homework | | | | Total Workload | | | 301 |
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Total Workload / 30 | | | 10,03 |
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ECTS Credits of the Course | | | 10 |
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LANGUAGE OF INSTRUCTION | Turkish |
WORK PLACEMENT(S) | No |
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