articleJournal of Statistical SoftwareJan 1, 2013DIAMOND OA

ebalance : A Stata Package for Entropy Balancing

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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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Authors

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Topics & keywords

Keywords
  • Covariate
  • Computer science
  • Multivariate statistics
  • Binary data
  • Entropy (arrow of time)
  • Binary number
  • Population
  • Observational study
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