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 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.

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References in zbMATH (referenced in 1 article , 1 standard article )

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  1. Jens Hainmueller; Yiqing Xu: ebalance: A Stata Package for Entropy Balancing (2013) not zbMATH