040295 UK Causal Inference (MA) (2023S)
Applications to development economics
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 13.02.2023 09:00 to We 22.02.2023 12:00
- Registration is open from Mo 27.02.2023 09:00 to Tu 28.02.2023 12:00
- Deregistration possible until Fr 17.03.2023 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Monday
06.03.
13:15 - 14:45
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday
07.03.
18:30 - 20:00
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday
14.03.
18:30 - 20:00
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday
20.03.
13:15 - 14:45
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday
21.03.
18:30 - 20:00
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday
27.03.
13:15 - 14:45
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday
28.03.
18:30 - 20:00
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday
17.04.
13:15 - 14:45
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday
18.04.
18:30 - 20:00
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday
24.04.
13:15 - 14:45
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday
25.04.
18:30 - 20:00
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday
02.05.
18:30 - 20:00
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday
08.05.
13:15 - 14:45
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday
09.05.
18:30 - 20:00
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday
15.05.
13:15 - 14:45
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday
16.05.
18:30 - 20:00
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday
22.05.
13:15 - 14:45
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday
23.05.
18:30 - 20:00
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday
05.06.
13:15 - 14:45
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday
06.06.
18:30 - 20:00
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday
12.06.
13:15 - 14:45
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday
13.06.
18:30 - 20:00
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday
19.06.
13:15 - 14:45
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday
20.06.
18:30 - 20:00
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday
26.06.
13:15 - 14:45
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday
27.06.
18:30 - 20:00
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Information
Aims, contents and method of the course
This course covers empirical strategies for applied research. Topics include economic experiments, 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 formal derivation of the econometrics methods used. The focus of the applications in this course is on "development economics". This means that examples and applications will mostly focus on studies from poor countries or trying to understand poverty. The methods will, however, also be useful for students interested in other fields, such as health economics, labor economics, or education economics.
Assessment and permitted materials
Final exam: 33%. Project 33%. Presentation in class 33%. Participation in class 1%.
Minimum requirements and assessment criteria
Assessment is based on an exam, a take-home simulation exercise (can be done in R or Stata), and a presentation of a published paper in class.
Examination topics
All the material covered in class will be relevant for the exams.
Reading list
J.D. Angrist and J.S. Pischke, Mostly Harmless Econometrics: An Empiricist’s Companion, Princeton
University Press, 2009. http://www.mostlyharmlesseconometrics.com/
Cunningham, Scott. "Causal inference: The mixtape." Yale University Press, 2021. https://mixtape.scunning.com/
University Press, 2009. http://www.mostlyharmlesseconometrics.com/
Cunningham, Scott. "Causal inference: The mixtape." Yale University Press, 2021. https://mixtape.scunning.com/
Association in the course directory
Last modified: Fr 30.06.2023 09:26