ebalance : A Stata Package for Entropy Balancing

The Stata package ebalance implements entropy balancing, a multivariate reweighting method described in Hainmueller (2012 ) that allows users to reweight a dataset such that the covariate distributions in the reweighted data satisfy a set of specified moment conditions. This can be useful to create...

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Bibliographic Details
Published in:Journal of statistical software 2013, Vol.54 (7), p.1-18
Main Authors: Hainmueller, Jens, Xu, Yiqing
Format: Article
Language:English
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Summary:The Stata package ebalance implements entropy balancing, a multivariate reweighting method described in Hainmueller (2012 ) that allows users to reweight a dataset such that the covariate distributions in the reweighted data satisfy a set of specified moment conditions. This can be useful to create balanced samples in observational studies with a binary treatment where the control group data can be reweighted to match the covariate moments in the treatment group. Entropy balancing can also be used to reweight a survey sample to known characteristics from a target population.
ISSN:1548-7660
1548-7660
DOI:10.18637/jss.v054.i07