Ebalance: A Stata Package for Entropy Balancing
Stanford University - Department of Political Science; Stanford Graduate School of Business; Stanford Immigration Policy Lab
University of California, San Diego
September 1, 2013
Journal of Statistical Software Vol. 54, Issue 7, September 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.
Number of Pages in PDF File: 18
Keywords: causal inference, reweighting, matching, Stata
JEL Classification: C21
Date posted: October 13, 2011 ; Last revised: January 17, 2014
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