Ebalance: A Stata Package for Entropy Balancing

Jens Hainmueller,Yiqing Xu

Published 2013 in Journal of Statistical Software

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 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.

PUBLICATION RECORD

  • Publication year

    2013

  • Venue

    Journal of Statistical Software

  • Publication date

    2013-09-01

  • Fields of study

    Mathematics, Computer Science, Political Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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