The causalweight package for causal inference in R

Hugo Bodory and Martin Huber

No 493, FSES Working Papers from Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland

Abstract: We describe R package “causalweight” for causal inference based on inverse probability weighting (IPW). The “causalweight” package offers a range of semiparametric methods for treatment or impact evaluation and mediation analysis, which incorporates intermediate outcomes for investigating causal mechanisms. Depending on the method, identification relies on selection on observables assumptions or on instrumental variables when selection is on unobservables, approaches that may also be applied to tackle non-random outcome attrition and sample selection. Inference is based on the bootstrap.

Keywords: Treatment effect; selection on observables; sample selection; mediation analysis; instrumental variable; IPW (search for similar items in EconPapers)
JEL-codes: C21 (search for similar items in EconPapers)
Pages: 27 pages
Date: 2018-03-13
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://doc.rero.ch/record/308745/files/WP_SES_493.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:fri:fribow:fribow00493

Ordering information: This working paper can be ordered from
http://doc.rero.ch/record/308745

Access Statistics for this paper

More papers in FSES Working Papers from Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland Bd de Pérolles 90, CH-1700 Fribourg. Contact information at EDIRC.
Bibliographic data for series maintained by Mustapha Obbad ().