dc.contributor |
Xarxa de Referència en Economia Aplicada (XREAP) |
dc.contributor.author |
Matas i Prat, Anna |
dc.contributor.author |
Raymond Bara, José Luis |
dc.contributor.author |
Roig Sabaté, José Luis |
dc.date.accessioned |
2008-12-30T11:27:09Z |
dc.date.accessioned |
2021-01-20T16:46:42Z |
dc.date.available |
2008-12-30T11:27:09Z |
dc.date.available |
2021-01-20T16:46:42Z |
dc.date.issued |
2008 |
dc.identifier.uri |
http://hdl.handle.net/2072/13016 |
dc.format.extent |
39 p. |
dc.format.extent |
590515 bytes |
dc.format.mimetype |
application/pdf |
dc.language.iso |
eng |
dc.publisher |
Xarxa de Referència en Economia Aplicada (XREAP) |
dc.relation.isformatof |
Reproducció digital del document publicat en format paper |
dc.relation.ispartofseries |
XREAP;2008-05 |
dc.rights |
Aquest document està subjecte a una llicència d'ús de Creative Commons, amb la qual es permet copiar, distribuir i comunicar públicament l'obra sempre que se'n citin l'autor original, la universitat i la xarxa i no se'n faci cap ús comercial ni obra derivada, tal com queda estipulat en la llicència d'ús (http://creativecommons.org/licenses/by-nc-nd/2.5/es/) |
dc.subject.other |
ocupació |
dc.subject.other |
Treballadores |
dc.subject.other |
Mobilitat laboral |
dc.subject.other |
Mobilitat residencial |
dc.subject.other |
Barcelona (Catalunya : Àrea metropolitana) |
dc.subject.other |
Madrid (Madrid (Comunitat autònoma) : Àrea metropolitana) |
dc.title |
Job accessibility and employment probability |
dc.type |
info:eu-repo/semantics/workingPaper |
dc.subject.udc |
33 - Economia |
dc.subject.udc |
331 - Treball. Relacions laborals. Ocupació. Organització del treball |
dc.subject.udc |
332 - Economia regional i territorial. Economia del sòl i de la vivenda |
dc.description.abstract |
The objective of this paper is to estimate the impact of residential job accessibility on female employment probability in the metropolitan areas of Barcelona and Madrid. Following a “spatial mismatch” framework, we estimate a female employment probability equation where variables controlling for personal characteristics, residential segregation and employment potential on public transport network are included. Data used come from Microcensus 2001 of INE (National Institute of Statistics). The research focuses on the treatment of endogeneity problems and the measurement of accessibility variables. Our results show that low job accessibility in public transport negatively affects employment probability. The intensity of this effect tends to decrease with individual’s educational attainment. A higher degree of residential segregation also reduces job probability in a significant way.. |