| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits |
| 4 | ECON332 | MICROECONOMETRICS | 3+0+0 | 3 | 5 |
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Language of Instruction
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English
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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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Elective
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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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Preparing students for conducting independent research and analysis using empirical methods.
Introducing econometric methods that are frequently used in applied microeconomic research.
Reviewing standard techniques for cross-sectional analysis and presenting modern approaches.
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Course Content
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Aim of the course is to analyze basic topics in microeconometrics in detail at undergraduate level. The course content includes standard econometric techniques that are used to examine micro-level data. Example subjects are generalized method of moments (GMM), instrumental variable (IV), two stage least squares (2SLS), discrete choice, and causal effects estimation techniques. Upon completing the course students are expected to be able to identify micro-data, problems that should be analyzed with micro-data and suitable techniques of estimation based on the question and data of interest.
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Course Methods and Techniques
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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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None
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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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Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
ECTS Allocated Based on Student Workload
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Activities
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Total Work Load
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Ev Ödevi
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3
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3
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9
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Okuma
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14
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2
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28
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Araştırma
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14
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2
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28
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Kişisel Çalışma
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14
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3
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42
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Yüz Yüze Ders
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14
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3
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42
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Total Work Load
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Number of ECTS Credits 5
149
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Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
| No | Learning Outcomes |
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1
| Demonstrate an understanding of basic models and methods of microeconometrics. |
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2
| Analyze widely used types of micro-data using statistical software. |
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3
| Formulate a coherent research design to test empirical questions. |
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4
| Conduct simple examples of microeconomic empirical analysis. |
Weekly Detailed Course Contents
| Week | Topics | Study Materials | Materials |
| 1 |
Introduction to Microeconometrics
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| 2 |
Linear Regression Models
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| 3 |
Instrumental Variables (IV) Estimation
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| 4 |
Generalized Method of Moments (GMM)
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| 5 |
Limited Dependent Variable Models
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| 6 |
Panel Data Methods - Static Models
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| 7 |
Panel Data Methods -Dynamic Models
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| 8 |
Treatment Effects and Causal Inference
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| 9 |
Selection Models
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| 10 |
Discrete Choice Models
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| 11 |
Quantile Regression
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| 12 |
Duration Models
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| 13 |
Program Evaluation Methods
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| 14 |
Recent Developments and Applications
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Contribution of Learning Outcomes to Programme Outcomes
Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant
https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=72299&lang=en