Back to Search Start Over

ebalance: A Stata Package for Entropy Balancing

Authors :
Massachusetts Institute of Technology. Department of Political Science
Hainmueller, Jens
Xu, Yiqing
Su, Yiqing
Massachusetts Institute of Technology. Department of Political Science
Hainmueller, Jens
Xu, Yiqing
Su, Yiqing
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