Análisis Espacial de la Informalidad Laboral a Nivel Intra-urbano

In this paper, we study the spatial dimension of labor informality at the intra-urban level. By using data for the city of Medellín (Colombia) as a case study, we analyze the spatial dimension of informality and estimating regression models with spatial dependence, we determine the main factors that...

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Autores:
Gallego Ortiz, Stefany
Muñoz González, Edgar Julián
García, Gustavo A.
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
spa
OAI Identifier:
oai:repository.eafit.edu.co:10784/12611
Acceso en línea:
http://hdl.handle.net/10784/12611
Palabra clave:
informality at the intra-urban level
spatial analysis
spatial econometrics
Colombia
Rights
License
Acceso abierto
id REPOEAFIT2_9f57d24b00b46fc65e003306c895166e
oai_identifier_str oai:repository.eafit.edu.co:10784/12611
network_acronym_str REPOEAFIT2
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repository_id_str
dc.title.spa.fl_str_mv Análisis Espacial de la Informalidad Laboral a Nivel Intra-urbano
title Análisis Espacial de la Informalidad Laboral a Nivel Intra-urbano
spellingShingle Análisis Espacial de la Informalidad Laboral a Nivel Intra-urbano
informality at the intra-urban level
spatial analysis
spatial econometrics
Colombia
title_short Análisis Espacial de la Informalidad Laboral a Nivel Intra-urbano
title_full Análisis Espacial de la Informalidad Laboral a Nivel Intra-urbano
title_fullStr Análisis Espacial de la Informalidad Laboral a Nivel Intra-urbano
title_full_unstemmed Análisis Espacial de la Informalidad Laboral a Nivel Intra-urbano
title_sort Análisis Espacial de la Informalidad Laboral a Nivel Intra-urbano
dc.creator.fl_str_mv Gallego Ortiz, Stefany
Muñoz González, Edgar Julián
García, Gustavo A.
dc.contributor.eafitauthor.none.fl_str_mv sgalle20@eafit.edu.co
emunozg2@eafit.edu.co
ggarci24@eafit.edu.co
dc.contributor.author.none.fl_str_mv Gallego Ortiz, Stefany
Muñoz González, Edgar Julián
García, Gustavo A.
dc.subject.keyword.spa.fl_str_mv informality at the intra-urban level
spatial analysis
spatial econometrics
Colombia
topic informality at the intra-urban level
spatial analysis
spatial econometrics
Colombia
description In this paper, we study the spatial dimension of labor informality at the intra-urban level. By using data for the city of Medellín (Colombia) as a case study, we analyze the spatial dimension of informality and estimating regression models with spatial dependence, we determine the main factors that affect this phenomenon. The results show that there are marked spatial patterns of informality at the intra-urban level in Medellín, where there is a socio-spatial segmentation between north and south of the city in terms of job quality, education, employment opportunities and housing conditions. We also found that a higher percentage of women and informality housing (slums) imply higher informality levels. In contrast, variables related to education and modern employment have a negative effect on informality.
publishDate 2018
dc.date.available.none.fl_str_mv 2018-08-06T19:09:41Z
dc.date.issued.none.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2018-08-06T19:09:41Z
dc.type.eng.fl_str_mv workingPaper
info:eu-repo/semantics/workingPaper
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_b1a7d7d4d402bcce
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_8042
dc.type.local.spa.fl_str_mv Documento de trabajo de investigación
dc.type.hasVersion.eng.fl_str_mv draft
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10784/12611
dc.identifier.jel.none.fl_str_mv J01
C21
J46
url http://hdl.handle.net/10784/12611
identifier_str_mv J01
C21
J46
dc.language.iso.eng.fl_str_mv spa
language spa
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.local.spa.fl_str_mv Acceso abierto
rights_invalid_str_mv Acceso abierto
http://purl.org/coar/access_right/c_abf2
dc.coverage.spatial.eng.fl_str_mv Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees
dc.publisher.spa.fl_str_mv Universidad EAFIT
dc.publisher.department.spa.fl_str_mv Escuela de Economía y Finanzas
institution Universidad EAFIT
bitstream.url.fl_str_mv https://repository.eafit.edu.co/bitstreams/ac3bdb97-43c1-4299-9855-fce642fdad2f/download
https://repository.eafit.edu.co/bitstreams/e2b58d64-bca4-496f-9096-811779c98fb1/download
bitstream.checksum.fl_str_mv 30b248e72a455a76b314ca32fbe5f559
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bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Repositorio Institucional Universidad EAFIT
repository.mail.fl_str_mv repositorio@eafit.edu.co
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spelling Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees2018-08-06T19:09:41Z20182018-08-06T19:09:41Zhttp://hdl.handle.net/10784/12611J01C21J46In this paper, we study the spatial dimension of labor informality at the intra-urban level. By using data for the city of Medellín (Colombia) as a case study, we analyze the spatial dimension of informality and estimating regression models with spatial dependence, we determine the main factors that affect this phenomenon. The results show that there are marked spatial patterns of informality at the intra-urban level in Medellín, where there is a socio-spatial segmentation between north and south of the city in terms of job quality, education, employment opportunities and housing conditions. We also found that a higher percentage of women and informality housing (slums) imply higher informality levels. In contrast, variables related to education and modern employment have a negative effect on informality.En este documento se estudia la dimensión espacial de la informalidad laboral a nivel intra-urbano. Utilizando como caso de estudio la ciudad de Medellín (Colombia), se hace un análisis de la dimensión espacial de la informalidad laboral y a partir de modelos de regresión con dependencia espacial se estudian los principales factores que determinan éste fenómeno. Los resultados muestran que existen marcados patrones espaciales de la informalidad laboral a nivel intra-urbano en Medellín, en donde la ciudad se encuentra segmentada socio-espacialmente entre norte y sur en términos de la calidad del empleo, educación, oportunidades de empleo y condiciones de la vivienda. También se encuentra que un mayor porcentaje de mujeres y mayor porcentaje de viviendas precarias generan incrementos en los niveles de informalidad laboral. Por su parte, las variables asociadas a educación y empleo moderno tienen un efecto negativo sobre éste fenómeno.spaUniversidad EAFITEscuela de Economía y FinanzasAnálisis Espacial de la Informalidad Laboral a Nivel Intra-urbanoworkingPaperinfo:eu-repo/semantics/workingPaperDocumento de trabajo de investigacióndrafthttp://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_8042Acceso abiertohttp://purl.org/coar/access_right/c_abf2informality at the intra-urban levelspatial analysisspatial econometricsColombiasgalle20@eafit.edu.coemunozg2@eafit.edu.coggarci24@eafit.edu.coGallego Ortiz, Stefanya0506fcc-6074-44b7-92b4-3d91d82e49ed-1Muñoz González, Edgar Julián23c345e2-3708-47be-8db6-eacef3bb0077-1García, Gustavo A.8da31438-940f-46f7-9796-b39fae0afc28-1ORIGINALGallego, Muñoz y García - Informalidad a nivel intra-urbano_.pdfGallego, Muñoz y García - Informalidad a nivel intra-urbano_.pdfapplication/pdf1460542https://repository.eafit.edu.co/bitstreams/ac3bdb97-43c1-4299-9855-fce642fdad2f/download30b248e72a455a76b314ca32fbe5f559MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82556https://repository.eafit.edu.co/bitstreams/e2b58d64-bca4-496f-9096-811779c98fb1/download76025f86b095439b7ac65b367055d40cMD5110784/12611oai:repository.eafit.edu.co:10784/126112024-12-04 11:49:14.024open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.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