Matching with clustered data: the CMatching package in R
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- dc.contributor.author Cannas, Massimo
- dc.contributor.author Arpino, Bruno
- dc.date.accessioned 2023-01-31T07:05:18Z
- dc.date.available 2023-01-31T07:05:18Z
- dc.date.issued 2019
- dc.description.abstract Matching is a well known technique to balance covariates distribution between treated and control units in non-experimental studies. In many fields, clustered data are a very common occurrence in the analysis of observational data and the clustering can add potentially interesting information. Matching algorithms should be adapted to properly exploit the hierarchical structure. In this article we present the CMatching package implementing matching algorithms for clustered data. The package provides functions for obtaining a matched dataset along with estimates of most common parameters of interest and model-based standard errors. A propensity score matching analysis, relating math proficiency with homework completion for students belonging to different schools (based on the NELS-88 data), illustrates in detail the use of the algorithms.
- dc.format.mimetype application/pdf
- dc.identifier.citation Cannas M, Arpino B. Matching with clustered data: the CMatching package in R. The R Journal. 2019 Jun;11(1):7-21. DOI: 10.32614/rj-2019-018
- dc.identifier.doi http://dx.doi.org/10.32614/rj-2019-018
- dc.identifier.issn 2073-4859
- dc.identifier.uri http://hdl.handle.net/10230/55482
- dc.language.iso eng
- dc.publisher The R Foundation
- dc.relation.ispartof The R Journal. 2019 Jun;11(1):7-21
- dc.rights This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/
- dc.subject.other Algorismes
- dc.subject.other Conjunts de dades
- dc.subject.other Distribució (Teoria de la probabilitat)
- dc.title Matching with clustered data: the CMatching package in R
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion