Statistical Theory for the RCT-YES Software: Design-Based Causal Inference for RCTs
Peter Z. Schochet
Mathematica Policy Research Reports from Mathematica Policy Research
Abstract:
This report describes a novel statistical theory for estimating impacts for randomized controlled trials (RCTs) for a wide range of designs used in social policy research.
Keywords: Randomized Controlled Trials; Impact Estimation; Quantitative Methods; Causal Inference; Education Interventions (search for similar items in EconPapers)
Pages: 154
New Economics Papers: this item is included in nep-exp
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mathematica.org/-/media/publications/p ... atistical_theory.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:mpr:mprres:a0c005c003c242308a92c02dcca08793
Access Statistics for this paper
More papers in Mathematica Policy Research Reports from Mathematica Policy Research Mathematica Policy Research P.O. Box 2393 Princeton, NJ 08543-2393 Attn: Communications. Contact information at EDIRC.
Bibliographic data for series maintained by Joanne Pfleiderer () and Cindy George ( this e-mail address is bad, please contact ).