Synth: An R Package for Synthetic Control Methods in Comparative Case Studies
The R package Synth implements synthetic control methods for comparative case studies designed to estimate the causal e ects of policy interventions and other events of interest (Abadie and Gardeazabal 2003; Abadie, Diamond, and Hainmueller 2010). These techniques are particularly well-suited to inv...
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Format: | Article |
Language: | en_US |
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UCLA Statistics/American Statistical Association
2012
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Online Access: | http://hdl.handle.net/1721.1/71234 |
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author | Abadie, Alberto Diamond, Alexis Hainmueller, Jens |
author2 | Massachusetts Institute of Technology. Department of Political Science |
author_facet | Massachusetts Institute of Technology. Department of Political Science Abadie, Alberto Diamond, Alexis Hainmueller, Jens |
author_sort | Abadie, Alberto |
collection | MIT |
description | The R package Synth implements synthetic control methods for comparative case studies designed to estimate the causal e ects of policy interventions and other events of interest (Abadie and Gardeazabal 2003; Abadie, Diamond, and Hainmueller 2010). These techniques are particularly well-suited to investigate events occurring at an aggregate level (i.e., countries, cities, regions, etc.) and a ffecting a relatively small number of units.
Bene ts and features of the Synth package are illustrated using data from Abadie and
Gardeazabal (2003), which examined the economic impact of the terrorist conflict in the Basque Country. |
first_indexed | 2024-09-23T15:47:10Z |
format | Article |
id | mit-1721.1/71234 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T15:47:10Z |
publishDate | 2012 |
publisher | UCLA Statistics/American Statistical Association |
record_format | dspace |
spelling | mit-1721.1/712342022-10-02T04:03:26Z Synth: An R Package for Synthetic Control Methods in Comparative Case Studies Abadie, Alberto Diamond, Alexis Hainmueller, Jens Massachusetts Institute of Technology. Department of Political Science Hainmueller, Jens Hainmueller, Jens The R package Synth implements synthetic control methods for comparative case studies designed to estimate the causal e ects of policy interventions and other events of interest (Abadie and Gardeazabal 2003; Abadie, Diamond, and Hainmueller 2010). These techniques are particularly well-suited to investigate events occurring at an aggregate level (i.e., countries, cities, regions, etc.) and a ffecting a relatively small number of units. Bene ts and features of the Synth package are illustrated using data from Abadie and Gardeazabal (2003), which examined the economic impact of the terrorist conflict in the Basque Country. National Science Foundation (U.S.) (grant SES-0350645) 2012-06-27T20:38:51Z 2012-06-27T20:38:51Z 2011-06 Article http://purl.org/eprint/type/JournalArticle 1548-7660 http://hdl.handle.net/1721.1/71234 Abadie, Alberto, Alexis Diamond and Jens Hainmueller. "Synth: An R Package for Synthetic Control Methods in Comparative Case Studies." Journal of Statistical Software, June 2011, Volume 42, Issue 13, p.1-17. en_US http://www.jstatsoft.org/v42/i13/paper Journal of Statistical Software Creative Commons Attribution http://creativecommons.org/licenses/by/3.0/ application/pdf UCLA Statistics/American Statistical Association Journal of Statistical Software |
spellingShingle | Abadie, Alberto Diamond, Alexis Hainmueller, Jens Synth: An R Package for Synthetic Control Methods in Comparative Case Studies |
title | Synth: An R Package for Synthetic Control Methods in Comparative Case Studies |
title_full | Synth: An R Package for Synthetic Control Methods in Comparative Case Studies |
title_fullStr | Synth: An R Package for Synthetic Control Methods in Comparative Case Studies |
title_full_unstemmed | Synth: An R Package for Synthetic Control Methods in Comparative Case Studies |
title_short | Synth: An R Package for Synthetic Control Methods in Comparative Case Studies |
title_sort | synth an r package for synthetic control methods in comparative case studies |
url | http://hdl.handle.net/1721.1/71234 |
work_keys_str_mv | AT abadiealberto synthanrpackageforsyntheticcontrolmethodsincomparativecasestudies AT diamondalexis synthanrpackageforsyntheticcontrolmethodsincomparativecasestudies AT hainmuellerjens synthanrpackageforsyntheticcontrolmethodsincomparativecasestudies |