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040294 UK Applied Causal Inference: how to answer interesting questions using data (BA) (2020W)

Track in Data Analysis

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first serve).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Tuesday 20.10. 15:00 - 16:30 Digital
Wednesday 21.10. 15:00 - 16:30 Digital
Thursday 22.10. 15:00 - 16:30 Digital
Friday 23.10. 15:00 - 16:30 Digital
Wednesday 28.10. 15:00 - 16:30 Digital
Thursday 29.10. 15:00 - 16:30 Digital
Wednesday 04.11. 15:00 - 16:30 Digital
Thursday 05.11. 15:00 - 16:30 Digital
Wednesday 11.11. 15:00 - 16:30 Digital
Thursday 12.11. 15:00 - 16:30 Digital
Wednesday 18.11. 15:00 - 16:30 Digital
Thursday 19.11. 15:00 - 16:30 Digital
Wednesday 25.11. 15:00 - 16:30 Digital
Thursday 26.11. 15:00 - 16:30 Digital
Wednesday 02.12. 15:00 - 16:30 Digital
Thursday 03.12. 15:00 - 16:30 Digital
Wednesday 09.12. 15:00 - 16:30 Digital
Thursday 10.12. 15:00 - 16:30 Digital
Wednesday 16.12. 15:00 - 16:30 Digital
Thursday 17.12. 15:00 - 16:30 Digital
Thursday 07.01. 15:00 - 16:30 Digital
Wednesday 13.01. 15:00 - 16:30 Digital
Thursday 14.01. 15:00 - 16:30 Digital
Wednesday 20.01. 15:00 - 16:30 Digital
Thursday 21.01. 15:00 - 16:30 Digital
Wednesday 27.01. 15:00 - 16:30 Digital
Thursday 28.01. 15:00 - 16:30 Digital

Information

Aims, contents and method of the course

The aim of this course is to help you to understand modern applied econometric methods and to foster the skills needed to plan and execute your own empirical projects. Topics include randomized trials, regression, differences-in-differences, instrumental variables and regression-discontinuity designs. This is an “applied-empirical” course, meaning that priority will be given to concrete applications rather than to formal derivation of the econometrics methods used in the applications.

Assessment and permitted materials

Exam: 34%. Homework 33%. Class participation 33%.

By class participation I do not mean showing up in class, instead I mean engaging actively in the lecture.

Minimum requirements and assessment criteria

Assessment is based on one open-book exam, homework and participation in class.

Examination topics

All the material covered in class will be relevant for the exams.

Reading list

J. Angrist and J.S. Pischke, Mastering ‘Metrics: The Path from Cause to Effect, Princeton
University Press, 2014. http://masteringmetrics.com/

Association in the course directory

Last modified: We 07.10.2020 14:48