ebalance: A Stata Package for Entropy Balancing
Name
Hainmueller-2013-ebalance.pdf
Size
406.56 KB
Format
Adobe PDF
Checksum (MD5)
0c252551b15cb56e2351592b8363d00e
Author(s)
Hainmueller, Jens
Su, Yiqing
Xu, Yiqing
Date Issued
August 2012
Journal
Journal of Statistical Software
Publisher
UCLA Statistics/American Statistical Association
Citation
Hainmueller, Jens, and Yiqing Xu. "ebalance: A Stata Package for Entropy Balancing." Journal of Statistical Software, Vol. 54, Issue 7 (Sept 2013).
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Department of Political Science
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
http://www.jstatsoft.org/v54/i07
