Syllabus

Title
5277 Microeconometrics (Applied Track)
Instructors
Assoz.Prof PD Florian Szücs, Ph.D.
Contact details
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
02/13/23 to 02/19/23
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Dates
Day Date Time Room
Wednesday 03/08/23 02:00 PM - 04:00 PM D4.0.144
Wednesday 03/15/23 02:00 PM - 04:00 PM D4.0.144
Wednesday 03/22/23 02:00 PM - 04:00 PM D4.0.144
Wednesday 03/29/23 02:00 PM - 04:00 PM D4.0.144
Wednesday 04/12/23 02:00 PM - 04:00 PM D4.0.144
Wednesday 04/19/23 02:00 PM - 04:00 PM D4.0.144
Wednesday 04/26/23 02:00 PM - 04:00 PM D4.0.144
Wednesday 05/03/23 02:00 PM - 04:00 PM D4.0.144
Wednesday 05/10/23 02:00 PM - 04:00 PM D4.0.144
Wednesday 05/17/23 02:00 PM - 04:00 PM D4.0.144
Wednesday 05/24/23 02:00 PM - 04:00 PM D4.0.144
Wednesday 06/07/23 02:00 PM - 04:00 PM D4.0.144
Contents

-) Causality & Correlation, Treatment Effects & Selection

-) Difference-in-Difference Estimation

-) Matching and Selection on Observables

-) Synthetic Control Groups

-) Placebo, Sensitivity & Robustness

-) Regression Discontinuity Design

Learning outcomes

After taking this class, students will be familiar with the most important microeconometric evaluation techniques employed in the academic literature, with a particular focus on recent developments. Students will be able to understand current research papers employing these methods and critically assess their merits in different scenarios of evaluation.

Attendance requirements

Classroom presence is mandatory. Up to three absences will be tolerated.

Teaching/learning method(s)

The class is structured in lecture units and presentation units. In the lecture units, the lecturer will present the different microeconometric evaluation techniques, that are the content of the course. In the presentation units, the students will (in small groups) present recent academic papers, that employ these methods and critically discuss their findings.

Assessment

Classroom Presentation: 35%

Referee Report: 25%

Exam: 40%

Readings

Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.

Last edited: 2022-11-18



Back