Abstract
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.
Author supplied keywords
Cite
CITATION STYLE
Hainmueller, J., & Xu, Y. (2013). Ebalance: A stata package for entropy balancing. Journal of Statistical Software, 54(7), 1–18. https://doi.org/10.18637/jss.v054.i07
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.