Syllabus

Title
2125 Topics in Microeconometrics
Instructors
Assoz.Prof PD Dr. Esther Arenas Arroyo
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
09/15/23 to 09/27/23
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Friday 10/20/23 02:00 PM - 05:00 PM TC.4.28
Friday 10/27/23 02:00 PM - 05:00 PM TC.4.28
Friday 11/03/23 02:00 PM - 05:00 PM TC.4.28
Friday 11/10/23 02:00 PM - 05:00 PM TC.4.28
Friday 11/17/23 02:00 PM - 05:00 PM TC.4.28
Friday 12/15/23 02:00 PM - 05:00 PM TC.5.28
Friday 01/12/24 01:00 PM - 02:00 PM TC.5.28
Friday 01/12/24 02:00 PM - 05:00 PM TC.5.28
Friday 01/19/24 01:00 PM - 02:00 PM TC.4.28
Friday 01/19/24 02:00 PM - 05:00 PM TC.4.28
Contents
This course:
  • is targeted towards researchers interested in empirical work
  • will cover modern micro-econometric methods and research designs
This course aims to provide an overview of different empirical methods, with an emphasis on practical implementation.  By the aim of the course, students will have been exposed to a wide range of empirical methods, and have at least a passing familiarity with their pros and cons. This course is not intended to be an exhaustive survey of all econometrics methods. The topics chosen are selected to develop an understanding of method popularity used in empirical research. Topics covered include new developments on differences in differences methods, event study, regression discontinuity designs, syntactic control method, etc. By the end, you should have gained a knowledge of recent literature and research methodology, and be well-placed to undertake further research.
Learning outcomes
The goal will be to develop an understanding of methods popularly used in empirical practice and also emerging developments likely to be useful in students’ research. To facilitate this applied focus, assignments will be based on understanding and replicating contemporary applied economic research papers. 
Attendance requirements

Attendance is mandatory

Teaching/learning method(s)

The course will involve a mix of lectures, student presentations, and class discussions.

Assessment
Grading:
• Paper replication 20 %
• Paper presentations 20%
• Exam 50%
• Class discussion 10%
Readings

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Last edited: 2023-04-18



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