Mostrar el registro sencillo del documento

dc.rights.licenseAtribución-NoComercial 4.0 Internacional
dc.contributor.advisorFernández Mejía, Cristina
dc.contributor.advisorJunca Rodríguez, Gustavo Adolfo
dc.contributor.authorContreras Navarrete, Maria Paula
dc.date.accessioned2020-07-29T05:10:39Z
dc.date.available2020-07-29T05:10:39Z
dc.date.issued2019
dc.identifier.citationContreras, M.P. (2020). Dimensión espacial de la informalidad laboral: evidencia para Bogotá
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/77869
dc.description.abstractEl presente documento analiza cómo la distribución geográfica de los individuos en la ciudad de Bogotá y las particularidades de sus lugares de residencia afectan sus probabilidades de tener un empleo informal. Utilizando información geo-referenciada de la Encuesta Multipropósito 2017 y de la Oficina de Infraestructura de Datos Espaciales para el Distrito Capital (IDECA), los resultados muestran que las características del entorno en el cual se encuentra inmerso el individuo juegan un papel relevante como determinantes de las condiciones de trabajo que este pueda obtener. En particular, los resultados indican que la probabilidad de tener un empleo informal aumenta entre mayor sea la tasa de informalidad del vecindario de residencia y entre mayor sea la desconexión espacial entre dicho vecindario y los centros que concentran las oportunidades de empleo formal. En contraste, la probabilidad de tener un empleo informal disminuye conforme aumenta la disponibilidad de lugares de cuidado infantil en el vecindario. Los resultados se mantienen al corregir por los posibles problemas de endogeneidad derivados de la simultaneidad entre la selección del lugar de residencia y los resultados laborales.
dc.description.abstractThis document analyzes how the geographic distribution of individuals in the city of Bogotá and the characteristics of their places of residence affect their probabilities of having an informal job. Using geo-referenced data from the Encuesta Multipropósito 2017 and the Infraestructure Office of Spatial Data for the Capital District (IDECA), the results show that the characteristics of the environment play an important role as determinants of the quality of work that an individual can obtain. In particular, the results indicate that the probability of having an informal job increases the higher the informality rate of the neighborhood and the greater the spatial disconnection between the neighborhood and the centers of formal employment opportunities. In contrast, the probability of having an informal job decreases as the availability of child care places in the neighborhood increases. The results persist after considering possible endogeneity problems derived from the simultaneity between the election of the place of residence and the labor results.
dc.format.extent30
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.rightsDerechos reservados - Universidad Nacional de Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subject.ddc330 - Economía
dc.subject.ddc710 - Planificación del área y arquitectura del paisaje
dc.subject.ddc980 - Historia general de América del Sur
dc.titleDimensión espacial de la informalidad laboral: evidencia para Bogotá
dc.typeDocumento de trabajo
dc.rights.spaAcceso abierto
dc.description.additionalMagíster en Ciencias Económicas.
dc.type.driverinfo:eu-repo/semantics/workingPaper
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.publisher.programBogotá - Ciencias Económicas - Maestría en Ciencias Económicas
dc.description.degreelevelMaestría
dc.publisher.departmentEscuela de Economía
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotá
dc.relation.referencesAliaga-Linares L., Alvarez-Rivadulla MJ. (2010). Segregación residencial en Bogotá a través del tiempo y diferentes escalas.Working paper. Lincoln Institute of Land Policy
dc.relation.referencesAnton, A. (2012). The effect of payroll taxes on employment and wages under high labor informality. Journal of Labor & Development, 3(1), 20
dc.relation.referencesÅslund, O., Östh, J., & Zenou, Y. (2009). How Important is Access to Jobs? Old Question — Improved Answer. Retrieved from http://www.cream-migration.org/publ_uploads/CDP_25_09.pdf
dc.relation.referencesBernal, R. (2009). The Informal Labor Market in Colombia: identification and characterization. Desarrollo y Sociedad, (63), 145–208
dc.relation.referencesBosch, M., Melguizo, Á., & Pagés, C. (2013). Mejores pensiones mejores trabajos. Hacia la cobertura universal en américa latina y el caribe. Retrieved from http://publications.iadb.org/bitstream/handle/11319/462/Mejores pensiones mejores trabajos.pdf?sequence=1
dc.relation.referencesCase, A. C., Katz, L. F., Akinbami, L., Castillo, A., Chandler, E., Rodgers, W., & School, W. W. (1991). The Company You Keep: The Effects of Family and Neighborhood on Disadvantaged Youths (No. 3705)
dc.relation.referencesCoulson, N. E., Laing, D., & Wang, P. (2001). Spatial Mismatch in Search Equilibrium. Journal of Labor Economics, 19(4), 949–972. https://doi.org/10.1086/322824
dc.relation.referencesDiaz, A. M. (2012). Informal Referrals, Employment, and Wages: Seeking Causal Relationships. Labour, 26(1), 1–30. https://doi.org/10.1111/j.1467-9914.2011.00540.x
dc.relation.referencesDíaz, A. M. (2015). Acceso a fuentes de empleo, segregación residencial y resultados laborales de las mujeres en Bogotá (No. 566)
dc.relation.referencesDietz, R. D. (2002). The estimation of neighborhood effects in the social sciences: An interdisciplinary approach. Social Science Research, 31(4), 539–575. https://doi.org/10.1016/S0049-089X(02)00005-4
dc.relation.referencesDujardin, C., Selod, H., & Thomas, I. (2008). Residential Segregation and Unemployment: The Case of Brussels. Urban Studies, 45, 89–113. https://doi.org/10.1177/0042098007085103
dc.relation.referencesFernández, C., & Villar, L. (2016). A Taxonomy of Colombia’s Informal Labor Market. Retrieved from http://www.repository.fedesarrollo.org.co/bitstream/handle/11445/3304/WP_2016_No_73.pdf?sequence=1&isAllowed=y
dc.relation.referencesFernández, C., Villar, L., Gómez, N., & Vaca, P. (2017). Taxonomía de la informalidad en América Latina. Retrieved from http://www.repository.fedesarrollo.org.co/bitstream/handle/11445/3476/WP_2017_No_75.pdf?sequence=1&isAllowed=y
dc.relation.referencesFreije, S. (2002). Informal Employment in Latin America and the Caribbean : Causes , Consequences and Policy Recommendations
dc.relation.referencesGasparini, L., & Tornarolli, L. (2009). Labor Informality in Latin America and the Caribbean: Patterns and Trends from Household Survey Microdata*, 13–80
dc.relation.referencesGobillon, L., & Selod, H. (2007). The effect of segregation and spatial mismatch on unemployment: evidence from France, (March). Retrieved from http://www.eea-esem.com/files/papers/EEA-ESEM/2007/342/Gobillon and Selod_segregation and spatial mismatch.pdf
dc.relation.referencesGobillon, L., & Selod, H. (2013). Spatial Mismatch, Poverty, and Vulnerable Populations 6. https://doi.org/10.1007/978-3-642-23430-9_7
dc.relation.referencesGobillon, L., Selod, H., & Zenou, Y. (2007). The Mechanisms of Spatial Mismatch, 44(12), 2401–2427
dc.relation.referencesGray-Molina G., Pérez de Rada E., Jimenez W. (2003). Residential Segregation in Bolivian Cities. In: Behrman JR, Gaviria A, Szekely M (eds) Who’s in and who’s out : social exclusion in Latin America. Inter-American Development Bank. 25-44
dc.relation.referencesGroisman, F., & Suárez, A. L. (2010). Segregación residencial e inserción laboral en el Conurbano Bonaerense. Población de Buenos Aires, 11, 7–28
dc.relation.referencesHarris, J. R., & Todaro, M. P. (1970). Migration, unemployment and development: a two-sector analysis. The American Economic Review, 60(1), 126–142. https://doi.org/10.1016/0165-1765(84)90160-5
dc.relation.referencesHausmann, R. (2013). The logic of the informal economy. Project-Syndicate.Org, (June), 1–12. https://doi.org/10.1007/978-94-007-2363-4
dc.relation.referencesHeckman, J. J., & Pagés, C. (2000). THE COST OF JOB SECURITY REGULATION: EVIDENCE FROM LATIN AMERICAN LABOR MARKETS. NBER WORKING PAPER SERIES, (June)
dc.relation.referencesHolzer, H. J. (1991). The Spatial Mismatch Hypothesis : What Has the Evidence Shown? Urban Studies, 28(1), 105–122
dc.relation.referencesIhlanfeldt, K. R., & Sjoquist, D. L. (1990). Job Accessibility and Racial Differences in Youth Employment Rates. The American Economic Review, 80(1), 267–276
dc.relation.referencesIhlanfeldt, K. R., & Sjoquist, D. L. (1998). The Spatial Mismatch Hypothesis : A Review of Recent Studies and Their Implications for Welfare Reform, 9(4), 849–892
dc.relation.referencesIoannides, Y. M., & Loury, L. D. (2004). Job Information Networks, Neighborhood Effects, and Inequality. Journal of Economic Literature, XLII, 1056–1093
dc.relation.referencesKain, J. F. (1968). Hosing Segregation, Negro Employment, and Metropolitan Decentralization
dc.relation.referencesKoike, S. A. (2015). Urban structure, labor market, informal employment and gender in Mexico City. Retrieved from https://ddd.uab.cat/pub/tesis/2015/hdl_10803_323361/sakq1de1.pdf
dc.relation.referencesKoike, S. A., & Roig, J. L. (2014). Neighborhood effects and job informality: the case of Metropolitan Area of Mexico City. Retrieved from http://pagines.uab.cat/appliedeconomics/sites/pagines.uab.cat.appliedeconomics/files/Koike, S._paper.pdf
dc.relation.referencesKorsu E, Wenglenski, S. (2010). Job Accessibility, Residential Segregation and Risk of Long-term Unemployment in the Paris Region. Urban Studies 47. 2279-2324
dc.relation.referencesKremer, M., Rao, G., & Cshilbach, F. (2018). Behavioral Development Economics
dc.relation.referencesLora, E., Powell, A., Van Praag, B. M. S., & Sanguinetti, P. (2010). The Quality of Life in Latin American Cities: Markets and perception. https://doi.org/10.1596/978-0-8213-7837-3
dc.relation.referencesMatas A, Raymond JL, Roig JL. (2010). Job Accessibility and Female Employment Probability: The Cases of Barcelona and Madrid. Urban Studies 47. 769-787
dc.relation.referencesMondragón-Vélez, C., Peña, X., & Wills, D. (2010). Labor Market Rigidities and Informality in Colombia, 9(1), 76–99
dc.relation.referencesMontoya, A. (2014). URBAN EPIDEMIOLOGY OF LABOR INFORMALITY IN BOGOTÁ: A NEIGHBORHOOD INTERACTIONS APPROACH
dc.relation.referencesMooney, J. (1969). Housing Segregation , Negro Employment and Metropolitan Decentralization: An Alternative Perspective. The Quarterly Journal of Economics, 83(2), 299–311
dc.relation.referencesMorales, L. F., & Cardona-Sosa, L. (2015). Calidad de los vecindarios y oferta laboral femenina en un contexto urbano: un caso aplicado a la ciudad de Medellín. Borradores de Economía
dc.relation.referencesO’clery, N., & Lora, E. (2016). City Size, Distance and Formal Employment Working Papers City size, distance and formal employment creation. Retrieved from https://growthlab.cid.harvard.edu/files/growthlab/files/citysize_rfwp77.pdf
dc.relation.referencesParks, V. (2004). Access to Work: The Effects of Spatial and Social Accessibility on Unemployment for Native-Born Black and Immigrant Women in Los Angeles. Economic Geography, 80(2), 141–172. https://doi.org/10.1111/j.1944-8287.2004.tb00305.x
dc.relation.referencesPerry, G. E., Maloney, W. F., Arias, O. S., Fajnzylber, P., Mason, A. D., & Saavedra-chanduvi, J. (2007). Exit and Exclusion
dc.relation.referencesRegan, K. M. O., & Quigley, J. M. (1993). spatial effects upon employment outcomes: the case of New Jersey teenagers, (1991)
dc.relation.referencesSabatini, F. (2003). La segregación social del espacio en las ciudades de América Latina. Banco Interamericano de Desarrollo, 35, 59–70. https://doi.org/10.4067/S0250-71612001008200002
dc.relation.referencesTopa, G. (2001). Social Interactions, Local Spillovers and Unemployment. The Review of Economic Studies, 68(2), 261–295
dc.relation.referencesVásquez, Julián; Anzoategui, J. C. (2013). Calidad De Vida De La Población De La Comuna Uno En La Ciudad De Medellin : Análisis De Percepción entre los años 2004-2008. Revista Movimentos Sociais e Dinâmicas Espaciais, 02, 74–94
dc.relation.referencesWasmer, E., & Zenou, Y. (2002). Does city structure affect job search and welfare? Journal of Urban Economics, 51(3), 515–541. https://doi.org/10.1006/juec.2001.2256
dc.relation.referencesZenou, Y. (2002). How do firms redline workers? Journal of Urban Economics, 52(3), 391–408. https://doi.org/10.1016/S0094-1190(02)00526-0
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.subject.proposallabor informality
dc.subject.proposalinformalidad laboral
dc.subject.proposalspatial mismatch
dc.subject.proposaldesajuste espacial
dc.subject.proposalefectos de vecindario
dc.subject.proposalneighbourhood effects
dc.subject.proposalBogotá
dc.subject.proposalBogota
dc.type.coarhttp://purl.org/coar/resource_type/c_8042
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.contentText
dc.type.redcolhttp://purl.org/redcol/resource_type/WP
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2


Archivos en el documento

Thumbnail

Este documento aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del documento

Atribución-NoComercial 4.0 InternacionalEsta obra está bajo licencia internacional Creative Commons Reconocimiento-NoComercial 4.0.Este documento ha sido depositado por parte de el(los) autor(es) bajo la siguiente constancia de depósito