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://journaldata.zbw.eu/dataset/d7f7beaa-2709-4f0a-97d3-4a90b9f4a6c1/resource/84fea73c-ae83-4d3d-9913-299202dc1de3/download/readme.aks.txt |
| Last updated | November 23, 2022 |
| Created | November 23, 2022 |
