La localización residencial: determinante de la probabilidad de empleo en Bogotá y Cundinamarca en el 2017

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dc.contributor.advisorDominguez Moreno, Andres
dc.contributor.advisorJunca, Gustavo
dc.contributor.authorValencia Renteria, Carlos Nabil
dc.coverage.cityBogotá
dc.coverage.regionCundinamarca
dc.coverage.temporal2017
dc.date.accessioned2021-09-15T12:29:52Z
dc.date.available2021-09-15T12:29:52Z
dc.date.issued2021-09-11
dc.descriptionIlustraciones y tablasspa
dc.description.abstractThis document aims to estimate the effect of household location on the probability of being employed in Bogotá and Cundinamarca in 2017. The data at individual level are from the Multipurpose Survey 2017 with representativeness in Zonal Planning Units, the employment data are recognized of the Establishment Survey 2017. This work focuses on the effect of accessibility to the labor market that individuals have according to their location.eng
dc.description.abstractEste trabajo busca estimar la relación entre una variable de aglomeración espacial de actividad económica y la probabilidad de empleo que tienen las personas en Bogotá y Cundinamarca con información del año 2017. Los microdatos de los individuos se obtienen de la Encuesta Multipropósito 2017 que permite análisis a nivel de Unidades de Planeación Zonal (UPZ) para Bogotá y a nivel de cabecera para 37 municipios. Los datos de concentración de actividad económica, número de empleos, se obtienen de la Encuesta de Establecimientos Económicos del año 2017. El trabajo se enmarca en los estudios que relacionan los efectos de accesibilidad al mercado laboral que tienen los individuos de acuerdo con su localización residencial. (Texto tomado de la fuente).spa
dc.description.degreelevelMaestríaspa
dc.description.degreenameMagíster en Ciencias Económicasspa
dc.description.notesIncluye anexosspa
dc.description.researchareaEconomía del Desarrollospa
dc.format.extentix, 66 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.instnameUniversidad Nacional de Colombiaspa
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombiaspa
dc.identifier.repourlhttps://repositorio.unal.edu.co/spa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/80193
dc.language.isospaspa
dc.publisherUniversidad Nacional de Colombiaspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotáspa
dc.publisher.departmentEscuela de Economíaspa
dc.publisher.facultyFacultad de Ciencias Económicasspa
dc.publisher.placeBogotá, Colombiaspa
dc.publisher.programBogotá - Ciencias Económicas - Maestría en Ciencias Económicasspa
dc.relation.referencesArango, L. E., & Posada, C. E. (2002). La participación laboral en Colombia. Borradores de Economía, 217(Banco de la República de Colombia).spa
dc.relation.referencesArbia, G. (2014). A Primer for Spatial Econometrics. (palgrave text in econometrics, Ed.). Palgrave Macmillan Journals. https://doi.org/10.1057/9781137317940spa
dc.relation.referencesÅslund, O., Östh, J., & Zenou, Y. (2010). How important is access to jobs? Old questionimproved answer. Journal of Economic Geography, 10(3), 389–422. https://doi.org/10.1093/jeg/lbp040spa
dc.relation.referencesBarufi, A. M. B., & Haddad, E. A. (2017). Spatial mismatch, wages and unemployment in metropolitan areas in brazil. Region, 4(3), 175–200. https://doi.org/10.18335/region.v4i3.171spa
dc.relation.referencesBloch, F. E., & Smith, S. P. (1977). Human Capital and Labor Market Employment. The Journal of Human Resources, 12(4), 550–560. https://doi.org/10.2307/145376spa
dc.relation.referencesBlumenberg, E., & Ong, P. (1998). Job accessibility and welfare usage: Evidence from Los Angeles. Journal of Policy Analysis and Management, 17(4), 639–657. https://doi.org/10.1002/(SICI)1520-6688(199823)17:4<639::AID-PAM3>3.0.CO;2-Rspa
dc.relation.referencesBocarejo, J. P., Escobar, D., Hernandez, D. O., & Galarza, D. (2016). Accessibility analysis of the integrated transit system of Bogotá. International Journal of Sustainable Transportation, 10(4), 308–320. https://doi.org/10.1080/15568318.2014.926435spa
dc.relation.referencesBrun, J., & Fagnani, J. (1994). Lifestyles and Locational Choices—Trade-offs and Compromises: A Case-study of Middle-class Couples Living in the Ile-de-France Region. Urban Studies, 31(6), 921–934. https://doi.org/10.1080/00420989420080751spa
dc.relation.referencesCámara de Comercio de Bogotá, de Comercio de Bogotá, C., & de Gestión del Conocimiento, D. (2017). Observatorio de la región Bogotá-Cundinamarca No. 27. Bogotá. Retrieved from http://hdl.handle.net/11520/19639spa
dc.relation.referencesCárdenas Jirón, L. A. (2006). Atributos urbanísticos explicativos de la localización residencial en el gran Santiago: última década del siglo XX. Santiago de Chile. https://doi.org/https://doi.org/10.34720/2brk-j670spa
dc.relation.referencesCatastro de Bogotá. (2004). Unidades de Planeación Zonal. Retrieved June 11, 2020, from https://www.catastrobogota.gov.co/glosario/unidades-de-planeamiento-zonalupz#:~:text=Unidades territoriales conformadas por un,mantienen unidad morfológica o funcionalspa
dc.relation.referencesCheng, J., & Bertolini, L. (2013). Measuring urban job accessibility with distance decay, competition and diversity. Journal of Transport Geography, 30, 100–109. https://doi.org/https://doi.org/10.1016/j.jtrangeo.2013.03.005spa
dc.relation.referencesCigüenza R, N. (2019). El nuevo censo poblacional del Dane consolida a las “ciudades dormitorio” del país. La Republica. Retrieved from https://www.larepublica.co/economia/el-nuevo-censo-poblacional-del-dane-consolida-a-lasciudades-dormitorio-del-pais-2885537spa
dc.relation.referencesConsejo Privado de Competitividad. (2020). Indice de Competitividad de ciudades (2020).spa
dc.relation.referencesContreras N, M. P. (2019). Dimensión espacial de la informalidad laboral: evidencia para Bogotá. Universidad Nacional de Colombia. Retrieved from https://repositorio.unal.edu.co/handle/unal/77869spa
dc.relation.referencesCooke, T. J., & Ross, S. L. (1999). Sample Selection Bias in Models of Commuting Time. Urban Studies, 36(9), 1597–1611. https://doi.org/10.1080/0042098992944spa
dc.relation.referencesDANE. (2019). Cuentas Nacionales: Principiales Resultados. Bogotá.spa
dc.relation.referencesDANE. (2020). Gran Encuesta Integrada de Hogares (GEIH) - Mercado Laboral. Retrieved September 12, 2020, from https://www.dane.gov.co/index.php/estadisticas-portema/mercado-laboral/empleo-y-desempleospa
dc.relation.referencesDe Beyer, J., & Knight, J. B. (1989). The Role of Occupation in the Determination of Wages. Oxford Economic Papers, 41(3), 595–618. Retrieved from http://www.jstor.org/stable/2663247spa
dc.relation.referencesDel Rio Carrasquilla, F. (2012). La Búsqueda De Empleo En Cartagena , 45(36), 145–172.spa
dc.relation.referencesDominguez M, J. A. (2016). Three Empirical Essays on Urban Economics. UniversidadAutónoma de Barcelona.spa
dc.relation.referencesDujardin, C., Selod, H., & Thomas, I. (2008). Residential Segregation and Unemployment: The Case of Brussels. Urban Studies, 45(1), 89–113. https://doi.org/10.1177/0042098007085103spa
dc.relation.referencesEhrenberg, R., & Smith, R. (2012). Modern Labor Economics. (P. Education, Ed.) (11th ed.). Boston.spa
dc.relation.referencesEngelbrecht, H.-J. (1997). International R&D spillovers, human capital and productivity in OECD economies: An empirical investigation. European Economic Review, 41(8), 1479– 1488. https://doi.org/https://doi.org/10.1016/S0014-2921(96)00046-3spa
dc.relation.referencesFedesarrollo. (2019). Empleo y Emprendimiento en Bogotá. Bogotá. Retrieved from https://repository.fedesarrollo.org.co/bitstream/handle/11445/3893/Repor_Octubre_2019_Fernández.pdf?sequence=1&isAllowed=yspa
dc.relation.referencesFujita, M. (1989). Urban Economic Theory: land use and city size. Cambridge: The press syndicate of The University of Cambridge.spa
dc.relation.referencesGabriel, S. A., & Rosenthal, S. S. (1996). Commutes, Neighborhood Effects, and Earnings: An Analysis of Racial Discrimination and Compensating Differentials. Journal of Urban Economics, 40(1), 61–83. https://doi.org/https://doi.org/10.1006/juec.1996.0023spa
dc.relation.referencesGlaeser, E. L. (1996). Spatial effects upon employment outcomes: the case of New Jersey teenagers. Discussion. New England Economic Review, May/Jun, 58–64.spa
dc.relation.referencesGobillon, L., Magnac, T., & Selod, H. (2011). The effect of location on finding a job in the Paris region. Journal of Applied Econometrics, 26(7), 1079–1112. https://doi.org/10.1002/jae.1168spa
dc.relation.referencesGobillon, L., Selod, H., & Zenou, Y. (2007). The Mechanisms of Spatial Mismatch. Urban Studies, 44(12), 2401–2427. https://doi.org/10.1080/00420980701540937spa
dc.relation.referencesGonzález-Quintero, N. I., N. I., & Daza-Báez, N. A., N. A. (2015). Determinantes y perfiles de la participación laboral en Colombia en el periodo 2002-2013. Revista de Economía Del Rosario, 18(1), 5–59. https://doi.org/10.12804/rev.econ.rosario.18.01.2015.01spa
dc.relation.referencesGordon, P., Kumar, A., & Richardson, H. W. (1989). The Spatial Mismatch Hypothesis: Some New Evidence. Urban Studies, 26(3), 315–326. Retrieved from http://www.jstor.org.ezproxy.unal.edu.co/stable/43192366spa
dc.relation.referencesGroisman, F., & Suarez, A. L. (2010). Segregación residencial e inserción laboral en el Conurbano Bonaerense. Población de Buenos Aires, 11, 7–28.spa
dc.relation.referencesGronau, R. (1973). The Effect of Children on the Housewife’s Value of Time. Journal of Political Economy, 81(2), S168-99. Retrieved from https://econpapers.repec.org/RePEc:ucp:jpolec:v:81:y:1973:i:2:p:s168-99spa
dc.relation.referencesGutiérrez, D. (2011). Determinantes de la localización del empleo urbano en Bogotá, Colombia. Revista de Economía Del Rosario, 14(1), 61–98.spa
dc.relation.referencesHeckman, J. J. (1993). What Has Been Learned About Labor Supply in the Past Twenty Years? The American Economic Review, 83(2), 116–121. Retrieved from http://www.jstor.org/stable/2117650spa
dc.relation.referencesHolmes, T. J., & Sieg, H. (2015). Chapter 2 - Structural Estimation in Urban Economics. In G. Duranton, J. V. Henderson, & W. C. B. T.-H. of R. and U. E. Strange (Eds.), Handbook of Regional and Urban Economics (Vol. 5, pp. 69–114). Elsevier. https://doi.org/https://doi.org/10.1016/B978-0-444-59517-1.00002-7spa
dc.relation.referencesHolzer, H. J., Ihlanfeldt, K. R., & Sjoquist, D. L. (1994). Work, Search, and Travel among White and Black Youth. Journal of Urban Economics, 35(3), 320–345. https://doi.org/https://doi.org/10.1006/juec.1994.1019spa
dc.relation.referencesHouston, D. S. (2005). Methods to Test the Spatial Mismatch Hypothesis. Economic Geography, 81(4), 407–434. https://doi.org/10.1111/j.1944-8287.2005.tb00281.xspa
dc.relation.referencesIhlanfeldt, K. R. (1993). Intra-urban Job Accessibility and Hispanic Youth Employment Rates. Journal of Urban Economics. https://doi.org/10.1006/juec.1993.1016spa
dc.relation.referencesIhlanfeldt, K. R. (2006, January 1). A Primer on Spatial Mismatch within Urban Labor Markets. A Companion to Urban Economics. https://doi.org/doi:10.1002/9780470996225.ch24spa
dc.relation.referencesIhlanfeldt, K. R., & Sjoquist, D. L. (1998). The Spatial Mismatch Hypothesis: A Review of Recent Studies and Their Implications for Welfare Reform. Housing Policy Debate, 9(4), 849–892. Retrieved from http://www.tandfonline.com/loi/rhpd20spa
dc.relation.referencesImmergluck, D. (1998). Job Proximity and the Urban Employment Problem: Do Suitable Nearby 62 Jobs Improve Neighbourhood Employment Rates? Urban Studies, 35(1), 7–23.spa
dc.relation.referencesKain, J. (1968). Housing segregation, Negro employment, and metropolitan decentralization. Quarterly Journal of Economics, 82, 175–197. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=eoh&AN=1225055&lang=es&site =ehost-livespa
dc.relation.referencesLin, J. J., Chen, C. H., & Hsieh, T. Y. (2016). Job accessibility and ethnic minority employment in urban and rural areas in Taiwan. Papers in Regional Science, 95(2), 363–382. https://doi.org/10.1111/pirs.12125spa
dc.relation.referencesLiu, D., & Kwan, M. P. (2020). Measuring Job Accessibility Through Integrating Travel Time, Transit Fare And Income: A Study Of The Chicago Metropolitan Area. Tijdschrift Voor Economische En Sociale Geografie, 111(4), 671–685. https://doi.org/10.1111/tesg.12415spa
dc.relation.referencesMatas, A., Raymond, J.-L., & Roig, J.-L. (2010). Job Accessibility and Female Employment Probability: The Cases of Barcelona and Madrid. Urban Studies, 47(4), 769–787. https://doi.org/10.1177/0042098009352364spa
dc.relation.referencesMayer, C. (1996). Does location matter? New England Economic Review, (May), 26–40. Retrieved from https://econpapers.repec.org/RePEc:fip:fedbne:y:1996:i:may:p:26-40spa
dc.relation.referencesMclafferty, S., & Preston, V. (1996). Spatial Mismatch and Employment in a Decade of Restructuring. New York, 48(October 1995).spa
dc.relation.referencesMclafferty, S., & Preston, V. (1996). Spatial Mismatch and Employment in a Decade of Restructuring. New York, 48(October 1995).spa
dc.relation.referencesMincer, J. (1962). Labor Force Participation of Married Women: A Study of Labor Supply (pp. 63-105 BT-Aspects of Labor Economics). National Bureau of Economic Research, Inc. Retrieved from https://econpapers.repec.org/RePEc:nbr:nberch:0603spa
dc.relation.referencesMortensen, D. T. (1986). Job search and labor market analysis. In Handbook of Labor Economics (pp. 849–919). https://doi.org/10.1016/S1573-4463(86)02005-9spa
dc.relation.referencesNeffa, J. C., Panigo, D., Pérez, P., & Giner, V. (2014). Actividad, empleo y desempleo: conceptos y definiciones. (Ceil-conicet, Ed.). Buenos Aires - Argentina.spa
dc.relation.referencesPampel, F. C., & Tanaka, K. (1986). Economic Development and Female Labor Force Participation: A Reconsideration*. Social Forces, 64(3), 599–619. https://doi.org/10.1093/sf/64.3.599spa
dc.relation.referencesPreston, V., & McLafferty, S. (1999). Spatial Mismatch Research in the 1990s: Progress and Potential. Papers in Regional Science, 78(4), 387–402.spa
dc.relation.referencesProbogotá. (2020). Pensemos entre todos un plan de reactivación económica para Bogotá. Bogotá. Retrieved from https://www.probogota.org/post/pensemos-entre-todos-un-plan-dereactivacio-n-econo-mica-para-bogotaspa
dc.relation.referencesRincón, M. C., & Robledo, J. C. (2016). ANÁLISIS DE LA POLÍTICA DE VIVIENDA EN BOGOTÁ: UN ENFOQUE DESDE LA OFERTA Y LA DEMANDA . Revista Finanzas y Política Económica . scielocospa
dc.relation.referencesSabatini, F. (2003). La segregación social del espacio en las ciudades de América Latina. Cuadernos de Instituto de Estudios Urbanos, Universidad Católica de Chile, Serie Azul, 35,59–70. https://doi.org/10.4067/S0250-71612001008200002spa
dc.relation.referencesSchnore, L. F. (1960). Three Sources of Data on Commuting: Problems and Possibilities. Journal of the American Statistical Association, 55(289), 8–22. https://doi.org/10.2307/2282176spa
dc.relation.referencesSecretaria Distrital de Planeación de Bogotá. (2020). Encuesta de Movilidad 2019. Bogotá. Retrieved from https://www.movilidadbogota.gov.co/web/sites/default/files/Paginas/22-04-2020/20191216_presentacion_encuesta_v2.pdfspa
dc.relation.referencesTao, S., He, S. Y., & Luo, S. (2020). The influence of job accessibility on local residential segregation of ethnic minorities: A study of Hong Kong. Population, Space and Place, (May). https://doi.org/10.1002/psp.2353spa
dc.relation.referencesTenjo, J., Misas, M., Contreras, A., & Gaviria, A. (2012). Modelos de duración del desempleo en Colombia. Vniversitas Económica, 12, 1–55.spa
dc.relation.referencesWhite, M. J. (1983). The Measurement of Spatial Segregation. American Journal of Sociology, 88(5), 1008–1018. https://doi.org/10.1086/227768spa
dc.relation.referencesWooldridge, J. M. (2002). Introductory Econometrics: a modern approach. (S.-W. C.Publishing., Ed.) (Second Edi).spa
dc.relation.referencesYánez Contreras, M., & Acevedo González, K. (2011). Determinantes de la estructura espacial del empleo en Cartagena. Revista Sociedad y Economía - CIDSE, (Universidad del ValleCIDSE). Retrieved from https://ideas.repec.org/a/col/000172/007994.htmlspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseReconocimiento 4.0 Internacionalspa
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/spa
dc.subject.ddc330 - Economíaspa
dc.subject.lembLabor supply
dc.subject.lembMercado laboral
dc.subject.lembJob vacancies
dc.subject.lembOportunidades de trabajo
dc.subject.lembUnemployment
dc.subject.lembDesempleo
dc.subject.proposalMercado laboralspa
dc.subject.proposalEmpleospa
dc.subject.proposalLocalizaciónspa
dc.subject.proposalLabor marketeng
dc.subject.proposalJob accesibilityeng
dc.subject.proposalEmploymenteng
dc.subject.proposalLocationeng
dc.subject.proposalAccesibilidad laboralspa
dc.titleLa localización residencial: determinante de la probabilidad de empleo en Bogotá y Cundinamarca en el 2017spa
dc.title.translatedHousing location: determinant of the employment probability in Bogotá and Cundinamarca in 2017eng
dc.typeTrabajo de grado - Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.redcolhttp://purl.org/redcol/resource_type/TMspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dcterms.audience.professionaldevelopmentEstudiantesspa
dcterms.audience.professionaldevelopmentPúblico generalspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa

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