Abstract

http://ssrn.com/abstract=1943090
 
 

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Ebalance: A Stata Package for Entropy Balancing


Jens Hainmueller


Stanford University - Department of Political Science; Stanford Graduate School of Business

Yiqing Xu


Massachusetts Institute of Technology (MIT) - Department of Political Science

September 1, 2013

Journal of Statistical Software Vol. 54, Issue 7, September 2013

Abstract:     
The Stata package ebalance implements entropy balancing, a multivariate reweighting method described in Hainmueller (2011) that allows users to reweight a dataset such that the covariate distributions in the reweighted data satisfy a set of speci ed 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.

Number of Pages in PDF File: 18

Keywords: causal inference, reweighting, matching, Stata

JEL Classification: C21

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Date posted: October 13, 2011 ; Last revised: January 17, 2014

Suggested Citation

Hainmueller, Jens and Xu, Yiqing, Ebalance: A Stata Package for Entropy Balancing (September 1, 2013). Journal of Statistical Software Vol. 54, Issue 7, September 2013. Available at SSRN: http://ssrn.com/abstract=1943090 or http://dx.doi.org/10.2139/ssrn.1943090

Contact Information

Jens Hainmueller (Contact Author)
Stanford University - Department of Political Science ( email )
Stanford, CA 94305
United States
HOME PAGE: http://www.stanford.edu/~jhain/
Stanford Graduate School of Business ( email )
518 Memorial Way
Stanford, CA 94305-5015
United States
Yiqing Xu
Massachusetts Institute of Technology (MIT) - Department of Political Science ( email )
77 Massachusetts Avenue
Cambridge, MA 02139
United States
HOME PAGE: http://web.mit.edu/polisci/people/gradstudents/yiqing-xu.shtml
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