readme.aks.txt
Creators:
Arun Advani
;
Toru Kitagawa
;
Tymon Słoczyński
From the dataset abstract
We consider two recent suggestions for how to perform an empirically motivated Monte Carlo study to help select a treatment effect estimator under unconfoundedness. We show theoretically...
Source: Mostly harmless simulations? Using Monte Carlo studies for estimator selection (replication data)
Metadata
| Field | Value |
|---|---|
| Format | text/plain |
| License | CC-BY 4.0 |
| URL | https://jda-test.zbw.eu/dataset/4a9d3980-62f7-47c3-a8cf-671fbee4cee4/resource/c9ee0058-6e69-4102-a2cb-8183bae6cfa2/download/readme.aks.txt |
| Last updated | November 8, 2022 |
| Created | November 8, 2022 |
