aks-files.zip
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)
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Metadata
| Field | Value |
|---|---|
| Format | application/zip |
| License | CC-BY 4.0 |
| URL | https://journaldata.zbw.eu/dataset/d7f7beaa-2709-4f0a-97d3-4a90b9f4a6c1/resource/5bc5a38a-5ed8-45db-aa96-6826870c639d/download/aks-files.zip |
| Last updated | November 23, 2022 |
| Created | November 23, 2022 |
