GGS-Workshop: R – Causal Inference using Difference-in-Difference and Regression Discontinuity Designs
- https://www.uni-giessen.de/de/fbz/zentren/ggs/veranstaltungen/curriculum/archiv/ws-18-19/rkurs
- GGS-Workshop: R – Causal Inference using Difference-in-Difference and Regression Discontinuity Designs
- 2018-10-25T09:00:00+02:00
- 2018-10-26T17:00:00+02:00
25.10.2018 09:00 bis 26.10.2018 17:00 (Europe/Berlin / UTC200)
Alte Universitätsbibliothek, Bismarckstr. 37, 35390 Gießen, Raum 4
Doctoral candidates and postdoctoral researchers at the GGS
Referent/in: | Dr. Tobias Keller | |
Termine: | 25./26.10.2018, 9.00 - 17.00 Uhr |
Learn when and how to apply two important methods for causal inference: Difference-in-Difference (DID) Designs and Regression Discontinuity (RD) Designs. Learn how to implement these designs using the statistical software R.
Please note:
It is required that the participants have basic R knowledge and have made their first experiences in applying R in their research projects. In particular, the participants should be familiar with the following R concepts and packages:
- Using the Software R Studio
- dplyr: particularly the dplyr verbs select, arrange, filter
- ggplot2
- Linear regression using the function lm(), including the use of formulars, factors and interactions
- Working with lists and lists of data.frames: lapply, do.call, rbind
Further information is available on the course description "R – Causal Inference using Difference-in-Difference and Regression Discontinuity Designs".