ebalance: A Stata Package for Entropy Balancing
Author(s)
Hainmueller, Jens; Su, Yiqing; Xu, Yiqing
DownloadHainmueller-2013-ebalance.pdf (406.5Kb)
PUBLISHER_CC
Publisher with Creative Commons License
Creative Commons Attribution
Terms of use
Metadata
Show full item recordAbstract
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.
Date issued
2012-08Department
Massachusetts Institute of Technology. Department of Political ScienceJournal
Journal of Statistical Software
Publisher
UCLA Statistics/American Statistical Association
Citation
Hainmueller, Jens, and Yiqing Xu. "ebalance: A Stata Package for Entropy Balancing." Journal of Statistical Software, Vol. 54, Issue 7 (Sept 2013).
Version: Final published version
ISSN
1548-7660