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dc.contributor.author	King, Gary
dc.contributor.author	Blackwell, Matthew
dc.contributor.author	Iacus, Stefano
dc.contributor.author	Porro, Giuseppe
dc.date.accessioned	2010-07-19T19:44:57Z
dc.date.issued	2010
dc.identifier.citation	Blackwell, Matthew, Stefano Iacus, Gary King, and Giuseppe Porro. 2010. cem: Coarsened exact matching in stata. Stata Journal 9(4): 524-546.	en_US
dc.identifier.issn	1536-867X	en_US
dc.identifier.uri	http://nrs.harvard.edu/urn-3:HUL.InstRepos:4314511
dc.description.abstract	This paper introduces a Stata implementation of Coarsened Exact Matching (CEM), a new method for improving the estimation of causal effects by reducing imbalance in co-variates between treated and control groups. CEM is faster, easier to use and understand, requires fewer assumptions, more easily automated, and possesses more attractive statistical properties for many applications than existing matching methods. In CEM, users temporarily coarsen their data, exact match on these coarsened data, then run their analysis on the uncoarsened, matched data. CEM bounds the degree of model dependence and causal effect estimation error by ex ante user choice, is montonic imbalance bounding (so that reducing the maximum imbalance on one variable has no e ect on others), does not require a separate procedure to restrict data to common support, meets the congruence principle, is approximately invariant to measurement error, balances all nonlinearities and interactions in-sample (i.e., not merely in expectation), and works with multiply imputed data sets. Other matching methods inheret [sic] many of CEM's properties when applied to further match data preprocessed by CEM. The library cem implements the CEM algorithm in Stata.	en_US
dc.description.sponsorship	Government	en_US
dc.language.iso	en_US	en_US
dc.publisher	StataCorp	en_US
dc.relation.isversionof	http://www.stata-journal.com/	en_US
dc.relation.hasversion	http://gking.harvard.edu/files/cem-stata.pdf	en_US
dash.license	LAA
dc.title	cem: Coarsened Exact Matching in Stata	en_US
dc.type	Journal Article	en_US
dc.description.version	Accepted Manuscript	en_US
dc.relation.journal	Stata Journal	en_US
dash.depositing.author	King, Gary
dc.date.available	2010-07-19T19:44:57Z

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  Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

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