A primer on propensity score matching estimators
Nonparametric matching estimators are frequently applied in evaluation studies. The general idea of the methodology is to determine the impact of treatment on the treated using information from treated and from similar non-treated observations to build a counterfactual of no treatment. I discuss the...
- Autores:
-
Vinha, Katja
- Tipo de recurso:
- Work document
- Fecha de publicación:
- 2006
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/7988
- Acceso en línea:
- http://hdl.handle.net/1992/7988
- Palabra clave:
- Propensity score matching
Binary treatment
Multiple treatments
Econometría
Estimación de parámetros
C14
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
id |
UNIANDES2_677b5121edefd70d30b1209b15c1748c |
---|---|
oai_identifier_str |
oai:repositorio.uniandes.edu.co:1992/7988 |
network_acronym_str |
UNIANDES2 |
network_name_str |
Séneca: repositorio Uniandes |
repository_id_str |
|
spelling |
Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Vinha, Katja38c29dbd-0c91-4996-9576-eaa109ae21566002018-09-27T16:49:54Z2018-09-27T16:49:54Z20061657-5334http://hdl.handle.net/1992/79881657-719110.57784/1992/7988instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/Nonparametric matching estimators are frequently applied in evaluation studies. The general idea of the methodology is to determine the impact of treatment on the treated using information from treated and from similar non-treated observations to build a counterfactual of no treatment. I discuss the methodology for both the binary treatment case as well as for the multiple treatment case.Los estimadores de pareo no paramétricos son utilizados frecuentemente en estudios de evaluaciones de impacto. La idea general de la metodología es determinar el impacto de tratamiento sobre los tratados utilizando información de tratados y de individuos similares que no recibieron el tratamiento. A partir de esta información se construye el contrafactual de no tratamiento. El documento discute esta metodología para el caso en que existe un único tipo de tratamiento y para el caso de varios tratamientos.28 páginasapplication/pdfengUniversidad de los Andes, Facultad de Economía, CEDEDocumentos CEDE No. 13 Febrero de 2006https://ideas.repec.org/p/col/000089/001928.htmlA primer on propensity score matching estimatorsMetodología de estimadores de pareo: una introducciónDocumento de trabajoinfo:eu-repo/semantics/workingPaperhttp://purl.org/coar/resource_type/c_8042http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttps://purl.org/redcol/resource_type/WPPropensity score matchingBinary treatmentMultiple treatmentsEconometríaEstimación de parámetrosC14Facultad de EconomíaPublicationTEXTdcede2006-13.pdf.txtdcede2006-13.pdf.txtExtracted texttext/plain46662https://repositorio.uniandes.edu.co/bitstreams/bbbbc5c4-093b-4a98-8f6e-deb0b919d367/download2f92fa01414795cb6c58ddcd77f122ecMD54ORIGINALdcede2006-13.pdfdcede2006-13.pdfapplication/pdf518108https://repositorio.uniandes.edu.co/bitstreams/f3dd41a1-7c3a-47f5-bc27-17278740ef6e/downloade06594c1b4158f3bcff0bea5c93d5ee7MD51THUMBNAILdcede2006-13.pdf.jpgdcede2006-13.pdf.jpgIM Thumbnailimage/jpeg11095https://repositorio.uniandes.edu.co/bitstreams/aba904d6-b39b-4cfd-b865-4432d0d85f4b/download78119f1972461f7c1557d7e46228812cMD551992/7988oai:repositorio.uniandes.edu.co:1992/79882024-06-04 15:13:37.994http://creativecommons.org/licenses/by-nc-nd/4.0/open.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.co |
dc.title.none.fl_str_mv |
A primer on propensity score matching estimators |
dc.title.alternative.none.fl_str_mv |
Metodología de estimadores de pareo: una introducción |
title |
A primer on propensity score matching estimators |
spellingShingle |
A primer on propensity score matching estimators Propensity score matching Binary treatment Multiple treatments Econometría Estimación de parámetros C14 |
title_short |
A primer on propensity score matching estimators |
title_full |
A primer on propensity score matching estimators |
title_fullStr |
A primer on propensity score matching estimators |
title_full_unstemmed |
A primer on propensity score matching estimators |
title_sort |
A primer on propensity score matching estimators |
dc.creator.fl_str_mv |
Vinha, Katja |
dc.contributor.author.none.fl_str_mv |
Vinha, Katja |
dc.subject.keyword.none.fl_str_mv |
Propensity score matching Binary treatment Multiple treatments |
topic |
Propensity score matching Binary treatment Multiple treatments Econometría Estimación de parámetros C14 |
dc.subject.armarc.none.fl_str_mv |
Econometría Estimación de parámetros |
dc.subject.jel.none.fl_str_mv |
C14 |
description |
Nonparametric matching estimators are frequently applied in evaluation studies. The general idea of the methodology is to determine the impact of treatment on the treated using information from treated and from similar non-treated observations to build a counterfactual of no treatment. I discuss the methodology for both the binary treatment case as well as for the multiple treatment case. |
publishDate |
2006 |
dc.date.issued.none.fl_str_mv |
2006 |
dc.date.accessioned.none.fl_str_mv |
2018-09-27T16:49:54Z |
dc.date.available.none.fl_str_mv |
2018-09-27T16:49:54Z |
dc.type.spa.fl_str_mv |
Documento de trabajo |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/workingPaper |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_8042 |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.redcol.spa.fl_str_mv |
https://purl.org/redcol/resource_type/WP |
format |
http://purl.org/coar/resource_type/c_8042 |
dc.identifier.issn.none.fl_str_mv |
1657-5334 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/1992/7988 |
dc.identifier.eissn.none.fl_str_mv |
1657-7191 |
dc.identifier.doi.none.fl_str_mv |
10.57784/1992/7988 |
dc.identifier.instname.spa.fl_str_mv |
instname:Universidad de los Andes |
dc.identifier.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional Séneca |
dc.identifier.repourl.spa.fl_str_mv |
repourl:https://repositorio.uniandes.edu.co/ |
identifier_str_mv |
1657-5334 1657-7191 10.57784/1992/7988 instname:Universidad de los Andes reponame:Repositorio Institucional Séneca repourl:https://repositorio.uniandes.edu.co/ |
url |
http://hdl.handle.net/1992/7988 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofseries.none.fl_str_mv |
Documentos CEDE No. 13 Febrero de 2006 |
dc.relation.repec.spa.fl_str_mv |
https://ideas.repec.org/p/col/000089/001928.html |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.extent.none.fl_str_mv |
28 páginas |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidad de los Andes, Facultad de Economía, CEDE |
publisher.none.fl_str_mv |
Universidad de los Andes, Facultad de Economía, CEDE |
institution |
Universidad de los Andes |
bitstream.url.fl_str_mv |
https://repositorio.uniandes.edu.co/bitstreams/bbbbc5c4-093b-4a98-8f6e-deb0b919d367/download https://repositorio.uniandes.edu.co/bitstreams/f3dd41a1-7c3a-47f5-bc27-17278740ef6e/download https://repositorio.uniandes.edu.co/bitstreams/aba904d6-b39b-4cfd-b865-4432d0d85f4b/download |
bitstream.checksum.fl_str_mv |
2f92fa01414795cb6c58ddcd77f122ec e06594c1b4158f3bcff0bea5c93d5ee7 78119f1972461f7c1557d7e46228812c |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio institucional Séneca |
repository.mail.fl_str_mv |
adminrepositorio@uniandes.edu.co |
_version_ |
1812133810578391040 |