ebalance: A Stata Package for Entropy Balancing
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...
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Language: | en_US |
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UCLA Statistics/American Statistical Association
2014
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Online Access: | http://hdl.handle.net/1721.1/89819 https://orcid.org/0000-0003-2041-6671 |
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author | Hainmueller, Jens Su, Yiqing Xu, Yiqing |
author2 | Massachusetts Institute of Technology. Department of Political Science |
author_facet | Massachusetts Institute of Technology. Department of Political Science Hainmueller, Jens Su, Yiqing Xu, Yiqing |
author_sort | Hainmueller, Jens |
collection | MIT |
description | 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. |
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format | Article |
id | mit-1721.1/89819 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T14:40:10Z |
publishDate | 2014 |
publisher | UCLA Statistics/American Statistical Association |
record_format | dspace |
spelling | mit-1721.1/898192022-09-29T10:04:49Z ebalance: A Stata Package for Entropy Balancing Hainmueller, Jens Su, Yiqing Xu, Yiqing Massachusetts Institute of Technology. Department of Political Science Hainmueller, Jens Xu, Yiqing 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. 2014-09-18T18:38:45Z 2014-09-18T18:38:45Z 2012-08 2011-10 Article http://purl.org/eprint/type/JournalArticle 1548-7660 http://hdl.handle.net/1721.1/89819 Hainmueller, Jens, and Yiqing Xu. "ebalance: A Stata Package for Entropy Balancing." Journal of Statistical Software, Vol. 54, Issue 7 (Sept 2013). https://orcid.org/0000-0003-2041-6671 en_US http://www.jstatsoft.org/v54/i07 Journal of Statistical Software Creative Commons Attribution http://creativecommons.org/licenses/by/3.0/ application/pdf UCLA Statistics/American Statistical Association UCLA Statistics/American Statistical Association |
spellingShingle | Hainmueller, Jens Su, Yiqing Xu, Yiqing ebalance: A Stata Package for Entropy Balancing |
title | ebalance: A Stata Package for Entropy Balancing |
title_full | ebalance: A Stata Package for Entropy Balancing |
title_fullStr | ebalance: A Stata Package for Entropy Balancing |
title_full_unstemmed | ebalance: A Stata Package for Entropy Balancing |
title_short | ebalance: A Stata Package for Entropy Balancing |
title_sort | ebalance a stata package for entropy balancing |
url | http://hdl.handle.net/1721.1/89819 https://orcid.org/0000-0003-2041-6671 |
work_keys_str_mv | AT hainmuellerjens ebalanceastatapackageforentropybalancing AT suyiqing ebalanceastatapackageforentropybalancing AT xuyiqing ebalanceastatapackageforentropybalancing |