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ebalance: A Stata Package for Entropy Balancing
- Source :
- UCLA Statistics/American Statistical Association
- Publication Year :
- 2014
-
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.
Details
- Database :
- OAIster
- Journal :
- UCLA Statistics/American Statistical Association
- Notes :
- application/pdf, en_US
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1155491168
- Document Type :
- Electronic Resource