%CEM: A SAS Macro to Perform Coarsened Exact Matching

Stefano Verzillo, Paolo Berta () and Matteo Bossi

Departmental Working Papers from Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano

Abstract: % CEM is a SAS macro which allows researchers to perform the recently introduced Coarsened Exact Matching (CEM) technique. CEM is a non-parametric matching method to avoid the confounding influence of pre-treatment control variables directly improving causal inference in quasi-experimental stud- ies. CEM authors originally provided few software solutions for R, Stata and SPSS packages to perform their matching algorithm. The % CEM macro integrates the already available software alternatives introducing a completely automated Coarsened Exact Matching macro for SAS users. Both the matching strategy -including some standard coarsening options- and the associated L1 multivariate imbalance measure are provided. An empirical application estimating the causal effect of regional health systems on the intra-hospital mortality using multiple artificial datasets from a large administrative database completes the paper.

Keywords: Coarsened Exact Matching; Causal Inference; SAS; SAS/IML (search for similar items in EconPapers)
Date: 2015-12-06
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:mil:wpdepa:2015-22

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