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 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.
Ebalance: A Stata Package for Entropy Balancing
Published 2013 in Journal of Statistical Software
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- Publication year
2013
- Venue
Journal of Statistical Software
- Publication date
2013-09-01
- Fields of study
Mathematics, Computer Science, Political Science
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