Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Jens Hainmueller, Yiqing Xu
Title: ebalance: A Stata Package for Entropy Balancing
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.

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Paper: ebalance: A Stata Package for Entropy Balancing     Download PDF (Downloads: 5785)
Supplements:
ebalance.zip: Stata source code/documentation/data Download (Downloads: 922; 173KB)
v54i07.do: Stata example code from the paper Download (Downloads: 993; 2KB)
DOI: 10.18637/jss.v054.i07

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.