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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Faculty of Computer and Information Sciences
  2. Department of Data Science and Analytics (English)
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  4. Econometrics and Causal Inference
  5. Description
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Last Updated: 22/07/2026

Code - Course Title Course Type Laboratory + Practice ECTS
VBA405 - Econometrics and Causal Inference VII. SEMESTER 3 +0 5.0
Language of Instruction İngilizce
Course Type Required Courses
Course Instructor(s) ARAŞ. GÖR. DR. ÖNDER DORAK
Mode of Delivery Face to face
Place of Delivery
Used Educational Platforms
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Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Econometric Modeling: Verifying OLS assumptions
Week - 2 Detecting and correcting heteroskedasticity
Week - 3 Modeling time-series autocorrelation
Week - 4 Panel data analysis fundamentals
Week - 5 Causal Frameworks: Defining potential outcomes
Week - 6 Constructing directed acyclic graphs (DAGs)
Week - 7 Identifying and controlling for confounding variables
Week - 8 Advanced Causal Methods: Applying instrumental variables
Week - 9 Implementing difference-in-differences models
Week - 10 Executing regression discontinuity designs
Week - 11 Policy Evaluation: Designing randomized controlled trials (RCTs)
Week - 12 Propensity score matching techniques
Week - 13 Estimating causal effects in observational datasets
Week - 14 Applied econometric policy analysis

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
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