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EBALANCE: Stata module to perform Entropy reweighting to create balanced samples

Jens Hainmueller and Yiqing Xu ()
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Yiqing Xu: Department of Political Science, MIT

Statistical Software Components from Boston College Department of Economics

Abstract: ebalance implements entropy balancing, a data preprocessing procedure 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.

Language: Stata
Requires: Stata version 11.2
Keywords: entropy balancing; covariate distributions; moment conditions; balanced samples (search for similar items in EconPapers)
Date: 2011-08-31, Revised 2015-01-30
Note: This module should be installed from within Stata by typing "ssc install ebalance". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/e/ebalance.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/e/ebalance.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/c/cps1re74.dta sample data file (application/x-stata)

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