Journal of Statistical Software Vol. 54, Issue 7, September 2013
18 Pages Posted: 13 Oct 2011 Last revised: 17 Jan 2014
Date Written: September 1, 2013
The Stata package ebalance implements entropy balancing, a multivariate reweighting method described in Hainmueller (2011) that allows users to reweight a dataset such that the covariate distributions in the reweighted data satisfy a set of specied 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.
Keywords: causal inference, reweighting, matching, Stata
JEL Classification: C21
Suggested Citation: Suggested Citation
Hainmueller, Jens and Xu, Yiqing, Ebalance: A Stata Package for Entropy Balancing (September 1, 2013). Journal of Statistical Software Vol. 54, Issue 7, September 2013. Available at SSRN: https://ssrn.com/abstract=1943090 or http://dx.doi.org/10.2139/ssrn.1943090