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01273 am a22002053u 4500 |
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89819 |
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|a dc
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|a Hainmueller, Jens
|e author
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|a Massachusetts Institute of Technology. Department of Political Science
|e contributor
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|a Hainmueller, Jens
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|a Xu, Yiqing
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|a Su, Yiqing
|e author
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|a Xu, Yiqing
|e author
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|a ebalance: A Stata Package for Entropy Balancing
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|b UCLA Statistics/American Statistical Association,
|c 2014-09-18T18:38:45Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/89819
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|a 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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|a en_US
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|a Article
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|t Journal of Statistical Software
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