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Language of Instruction
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Turkish
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Level of Course Unit
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Bachelor's Degree
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Department / Program
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Economics
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Type of Program
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Formal Education
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Type of Course Unit
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Compulsory
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Course Delivery Method
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Face To Face
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Objectives of the Course
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The objective of this course is to teach students econometric applications and help them analyze economic issues encountered in daily life. It will enable them to work with different datasets such as time series and cross-sectional data.
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Course Content
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Variance Analysis / Chow Test / Violation of the Normality Assumption / Violation of the Zero Mean Assumption / Violation of the Homoscedasticity Assumption / Heteroscedasticity Tests and Problem Resolution / Violation of the No Autocorrelation Assumption / Autocorrelation Tests and Problem Resolution / Ochrane-Orcutt Two-Step and Iterative Estimation Method / Multicollinearity, Detection and Testing / Solution to Multicollinearity
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Course Methods and Techniques
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Each lesson begins with the instructor introducing the topic of the day. The course is conducted interactively. A combination of methods, including direct instruction, question-and-answer sessions, case studies, and discussions of research findings, is applied. Therefore, students are expected to thoroughly prepare by reading the relevant topics from the previous week in advance.
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Prerequisites and co-requisities
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None
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Course Coordinator
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None
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Name of Lecturers
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Associate Prof.Dr. Zeynep Köse
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Assistants
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None
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Work Placement(s)
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No
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Recommended or Required Reading
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Resources
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Tarı, Recep, Econometrics, 7th Edition, Umuttepe Publishing, 2011. Sevüktekin, Mustafa, Introduction to Econometrics, Dora Publishing, 2013.
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Course Notes
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Tarı, Recep, Econometrics, 7th Edition, Umuttepe Publishing, 2011. Sevüktekin, Mustafa, Introduction to Econometrics, Dora Publishing, 2013.
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Documents
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Tarı, Recep, Ekonometri, 7. Baskı, Umuttepe Yayınları, 2011. Sevüktekin, Mustafa, Ekonometriye Giriş, Dora Yayınları, 2013.
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