Doubly Robust Estimation of Average Treatment Effects on the Treated through Marginal Structural Models

Open access
Datum
2023Typ
- Journal Article
ETH Bibliographie
yes
Altmetrics
Abstract
Some causal parameters are defined on subgroups of the observed data, such as the average treatment effect on the treated and variations thereof. We explain how such parameters can be defined through parameters in a marginal structural (working) model. We illustrate how existing software can be used for doubly robust effect estimation of those parameters. Our proposal for confidence interval estimation is based on the delta method. All concepts are illustrated by estimands and data from the data challenge of the 2022 American Causal Inference Conference. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-b-000612246Publikationsstatus
publishedExterne Links
Zeitschrift / Serie
Observational StudiesBand
Seiten / Artikelnummer
Verlag
Penn PressThema
Average Treatment Effect on the Treated; Marginal Structural Models; Data ChallengeOrganisationseinheit
06336 - KOF FB Data Science und Makroökon. Meth. / KOF FB Data Science and Macroec. Methods
02525 - KOF Konjunkturforschungsstelle / KOF Swiss Economic Institute
ETH Bibliographie
yes
Altmetrics