Ítem
Acceso Abierto

The impact of sharing economy on urban crime

dc.contributor.advisorVargas Duque, Juan Fernando
dc.contributor.advisorVillamizar, Mauricio
dc.creatorRestrepo Tamayo, Sara
dc.creator.degreeMagíster en Economíaspa
dc.creator.degreetypeFull timespa
dc.date.accessioned2019-08-15T12:43:50Z
dc.date.available2019-08-15T12:43:50Z
dc.date.created2019-06-18
dc.date.issued2019
dc.descriptionLa reducción de la delincuencia urbana es una preocupación política primordial en todo el mundo. Los gobiernos han implementado una amplia variedad de programas para controlar el crimen, que van desde la vigilancia policial de los puntos calientes hasta los trabajos de transición para ex convictos. En las últimas décadas, la economía colaborativa, donde las personas comparten o alquilan bienes personales como automóviles o casas, ha ganado importancia como uno de los caminos más accesibles para que los trabajadores poco cali ficados tengan un ingreso regular. Este documento examina el impacto de una de las compañías de economía colaborativa más grandes de América Latina (Rappi) en el crimen urbano en Bogotá. Al usar un modelo dinámico de diferencias en diferencias, se encuentra evidencia sugerente de que la llegada de Rappi condujo a una disminución en los robos. Este trabajo contribuye a la literatura sobre las externalidades de la economía colaborativa.spa
dc.description.abstractThe reduction of urban crime is a paramount policy concern worldwide. Governments have implemented a wide variety of programs to control crime, ranging from hot spots policing to transitional jobs for ex-convicts. Over the past few decades, the sharing or peer-to-peer economy-where individuals share or rent personal goods like cars or houses-has gained importance as one of the most accessible paths for low skilled workers to have a regular income. This paper examines the impact of one of Latin America's largest sharing economy company (Rappi) on urban crime in Bogota. Using a dynamic differences-in-differences model, I fi nd suggestive evidence that the arrival of Rappi led to a decrease in robberies. This work contributes to the literature on the externalities of the sharing economy.spa
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.48713/10336_20111
dc.identifier.urihttp://repository.urosario.edu.co/handle/10336/20111
dc.language.isoengspa
dc.publisherUniversidad del Rosariospa
dc.publisher.departmentFacultad de Economíaspa
dc.publisher.programMaestría en Economíaspa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.rights.licenciaEL AUTOR, manifiesta que la obra objeto de la presente autorización es original y la realizó sin violar o usurpar derechos de autor de terceros, por lo tanto la obra es de exclusiva autoría y tiene la titularidad sobre la misma. PARGRAFO: En caso de presentarse cualquier reclamación o acción por parte de un tercero en cuanto a los derechos de autor sobre la obra en cuestión, EL AUTOR, asumirá toda la responsabilidad, y saldrá en defensa de los derechos aquí autorizados; para todos los efectos la universidad actúa como un tercero de buena fe. EL AUTOR, autoriza a LA UNIVERSIDAD DEL ROSARIO, para que en los términos establecidos en la Ley 23 de 1982, Ley 44 de 1993, Decisión andina 351 de 1993, Decreto 460 de 1995 y demás normas generales sobre la materia, utilice y use la obra objeto de la presente autorización. -------------------------------------- POLITICA DE TRATAMIENTO DE DATOS PERSONALES. Declaro que autorizo previa y de forma informada el tratamiento de mis datos personales por parte de LA UNIVERSIDAD DEL ROSARIO para fines académicos y en aplicación de convenios con terceros o servicios conexos con actividades propias de la academia, con estricto cumplimiento de los principios de ley. Para el correcto ejercicio de mi derecho de habeas data cuento con la cuenta de correo habeasdata@urosario.edu.co, donde previa identificación podré solicitar la consulta, corrección y supresión de mis datos.spa
dc.source.bibliographicCitationAbraham, S., & Sun, L. (2018). Estimating dynamic treatment effects in event studies with heterogeneous treatment effects.spa
dc.source.bibliographicCitationAguiar, L., & Waldfogel, J. (2016). Streaming reaches ood stage: Does spotify stimulate or depress music sales? no. w21653. National Bureau of Economic Research.spa
dc.source.bibliographicCitationBaudains, P., Braithwaite, A., & Johnson, S. D. (2013). Target choice during extreme events: A discrete spatial choice model of the 2011 london riots. Criminology, 51 (2), 251-285.spa
dc.source.bibliographicCitationBecker, G. S. (1968). Crime and punishment: An economic approach. In The economic dimensions of crime (pp. 13-68). Springer.spa
dc.source.bibliographicCitationBernasco, W. (2010). A sentimental journey to crime: Effects of residential history on crime location choice. Criminology, 48 (2), 389-416.spa
dc.source.bibliographicCitationBernasco, W., Johnson, S. D., & Ruiter, S. (2015). Learning where to offend: Effects of past on future burglary locations. Applied Geography, 60 , 120-129.spa
dc.source.bibliographicCitationBernasco, W., & Kooistra, T. (2010). Effects of residential history on commercial robbers crime location choices. European Journal of Criminology, 7 (4), 251-265.spa
dc.source.bibliographicCitationBernasco, W., & Nieuwbeerta, P. (2004). How do residential burglars select target areas? a new approach to the analysis of criminal location choice. British Journal of Criminology, 45 (3), 296-315.spa
dc.source.bibliographicCitationBlattman, C., & Annan, J. (2016). Can employment reduce lawlessness and rebellion? a eld experiment with high-risk men in a fragile state. American Political Science Review, 110 (1), 1-17.spa
dc.source.bibliographicCitationBlattman, C., Green, D., Ortega, D., & Tobón, S. (2018). Place-based interventions at scale: the direct and spillover effects of policing and city services on crime. Working Paper 23941 http://www.nber.org/papers/w23941 .spa
dc.source.bibliographicCitationBoivin, R. (2018). Routine activity, population(s) and crime: Spatial heterogeneity and conflicting propositions about the neighborhood crime-population link. Applied geography, 95 , 79-87.spa
dc.source.bibliographicCitationBonciu, F. (2016). Impact of the sharing economy on the labor market. Romanian Economic and Business Review, 11 (2), 43.spa
dc.source.bibliographicCitationBrantingham, P., & Brantingham, P. (1993). Nodes, paths and edges: Considerations on the complexity of crime and the physical environment. Journal of Environmental Psychology, 13 (1), 3-28.spa
dc.source.bibliographicCitationBrantingham, P., & Brantingham, P. (2013). Crime pattern theory. In Environmental criminology and crime analysis (pp. 100{116). Willan.spa
dc.source.bibliographicCitationCamacho, A., Conover, E., & Hoyos, A. (2013). Effects of colombia's social protection system on workers' choice between formal and informal employment. The World Bank.spa
dc.source.bibliographicCitationCameron, A. C., Gelbach, J. B., & Miller, D. L. (2008). Bootstrap-based improvements for inference with clustered errors. The Review of Economics and Statistics, 90 (3), 414-427.spa
dc.source.bibliographicCitationCarroll, J., & Weaver, F. (1986). Shoplifters perceptions of crime opportunities: A process-tracing study. In The reasoning criminal (pp. 19-38). Springer.spa
dc.source.bibliographicCitationCarter, R. L., & Hill, K. Q. (1979). The criminal's image of the city. Elsevier.spa
dc.source.bibliographicCitationChal n, A., Hansen, B., Lerner, J., & Parker, L. (2019). Reducing crime through envorinmental design: Evidence from a randomized experiment of street lighting in new york city. http://www.nber.org/papers/w25798 .spa
dc.source.bibliographicCitationCohen, P., Hahn, R., Hall, J., Levitt, S., & Metcalfe, R. (2016). Using big data to estimate consumer surplus: The case of uber (Tech. Rep.). National Bureau of Economic Research.spa
dc.source.bibliographicCitationColonelli, E., & Prem, M. (2017). Corruption and firms: Evidence from randomized anti-corruption audits in brazil. Working paper.spa
dc.source.bibliographicCitationCramer, J., & Krueger, A. B. (2016). Disruptive change in the taxi business: The case of uber. American Economic Review, 106 (5), 177-82.spa
dc.source.bibliographicCitationDell, M., Feigenberg, B., & Teshima, K. (2018). The violent consequences of trade-induced worker displacement in mexico. American Economic Review: Insights forthcoming.spa
dc.source.bibliographicCitationDix-Carneiro, R., Soares, R. R., & Ulyssea, G. (2018). Economic shocks and crime: Evidence from the brazilian trade liberalization. American Economic Journal: Applied Economics, 10 (4), 158-95.spa
dc.source.bibliographicCitationEdelman, B. G., & Luca, M. (2014). Digital discrimination: The case of airbnb. com. Harvard Business School NOM Unit Working Paper(14-054).spa
dc.source.bibliographicCitationEhrlich, I. (1973). Participation in illegitimate activities: A theoretical and empirical investigation. Journal of political Economy, 81 (3), 521-565.spa
dc.source.bibliographicCitationFarronato, C., & Fradkin, A. (2018). The welfare e ects of peer entry in the accommodation market: The case of airbnb (Tech. Rep.). National Bureau of Economic Research.spa
dc.source.bibliographicCitationFreeman, R. B. (1999). The economics of crime. Handbook of labor economics, 3 , 3529-3571.spa
dc.source.bibliographicCitationGabor, T., Baril, M., Cusson, M., Elie, D., LeBlanc, M., & Normandeau, A. (1987). Armed robbery: Cops, robbers, and victims. Charles C Thomas Spring eld, IL.spa
dc.source.bibliographicCitationGarcía, J., et al. (2016). Closing the gap between formal and material health care coverage in colombia. Health and Human Rights, 18 (2), 49.spa
dc.source.bibliographicCitationGreenwood, B. N., & Agarwal, R. (2015). Matching platforms and hiv incidence: An empirical investigation of race, gender, and socioeconomic status. Management Science, 62 (8), 2281-2303.spa
dc.source.bibliographicCitationGronqvist, H. (2013). Youth unemployment and crime: Lessons from longitudinal population records. Swedish Institute for Social Research, mimeo.spa
dc.source.bibliographicCitationHall, J. V., & Krueger, A. B. (2018). An analysis of the labor market for uber's driver-partners in the united states. ILR Review, 71 (3), 705-732.spa
dc.source.bibliographicCitationHipp, J. R., & Kim, Y.-A. (2019). Explaining the temporal and spatial dimensions of robbery: Differences across measures of the physical and social environment. Journal of Criminal Justice, 60 , 1-12.spa
dc.source.bibliographicCitationHorton, J. J., & Zeckhauser, R. J. (2016). Owning, using and renting: some simple economics of the" sharing economy" (Tech. Rep.). National Bureau of Economic Research.spa
dc.source.bibliographicCitationJohnson, S. D., & Summers, L. (2015). Testing ecological theories of offender spatial decision making using a discrete choice model. Crime & Delinquency, 61 (3), 454-480.spa
dc.source.bibliographicCitationKhanna, G., Medina, C., Nyshadham, A., Tamayo, J., et al. (2018). Formal employment and organized crime: Regression discontinuity evidence from colombia. Borradores de Economía; No. 1054 .spa
dc.source.bibliographicCitationKling, J. R. (2006). Incarceration length, employment, and earnings. American Economic Review, 96 (3), 863-876.spa
dc.source.bibliographicCitationKoster, H. R., van Ommeren, J., & Volkhausen, N. (2018). Short-term rentals and the housing market: Quasi-experimental evidence from airbnb in los angeles. CEPR Discussion Papers 13094, C.E.P.R. Discussion Papers.spa
dc.source.bibliographicCitationKroft, K., & Pope, D. G. (2014). Does online search crowd out traditional search and improve matching efficiency? evidence from craigslist. Journal of Labor Economics, 32 (2), 259-303.spa
dc.source.bibliographicCitationLammers, M. (2017). Co-offenders crime location choice: Do co-offending groups commit crimes in their shared awareness space? The British Journal of Criminology, 58 (5), 1193-1211.spa
dc.source.bibliographicCitationLammers, M., Menting, B., Ruiter, S., & Bernasco, W. (2015). Biting once, twice: The influence of prior on subsequent crime location choice. Criminology, 53 (3), 309-329.spa
dc.source.bibliographicCitationLi, Z., Hong, Y., & Zhang, Z. (2018). An empirical analysis of the impacts of the sharing economy platforms on the us labor market. In Proceedings of the 51st hawaii international conference on system sciences.spa
dc.source.bibliographicCitationLuca, M. (2017). Designing online marketplaces: Trust and reputation mechanisms. Innovation Policy and the Economy, 17 (1), 77-93.spa
dc.source.bibliographicCitationMaguire, M., & Bennett, T. (1982). Burglary in a dwelling: The offence, the offender, and the victim. Heinemann London.spa
dc.source.bibliographicCitationPinotti, P. (2015). The economic costs of organised crime: Evidence from southern italy. The Economic Journal, 125 (586), F203-F232.spa
dc.source.bibliographicCitationRengert, G. F., & Wasilchick, J. (1985). Suburban burglary: A time and a place for everything. CC Thomas Spring eld, IL.spa
dc.source.bibliographicCitationReppetto, T. A. (1974). Residential crime. Ballinger Publishing Company Cambridge, MA.spa
dc.source.bibliographicCitationSeamans, R., & Zhu, F. (2013). Responses to entry in multi-sided markets: The impact of craigslist on local newspapers. Management Science, 60 (2), 476-493.spa
dc.source.bibliographicCitationSundararajan, A. (2014). Peer-to-peer businesses and the sharing (collaborative) economy: Overview, economic effects and regulatory issues. Written testimony for the hearing titled The Power of Connection: Peer to Peer Businesses.spa
dc.source.bibliographicCitationWalsh, D. (2017). Victim selection procedures among economic criminals: The rational choice perspective. In The reasoning criminal (pp. 39-52). Routledge.spa
dc.source.bibliographicCitationWu, L., & Brynjolfsson, E. (2015). The future of prediction: How google searches foreshadow housing prices and sales. In Economic analysis of the digital economy (pp. 89-118). University of Chicago Press.spa
dc.source.bibliographicCitationZervas, G., Proserpio, D., & Byers, J. W. (2017). The rise of the sharing economy: Estimating the impact of airbnb on the hotel industry. Journal of marketing research, 54 (5), 687-705.spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subjectCrimenspa
dc.subjectCiudadspa
dc.subjectEconomía colaborativaspa
dc.subject.ddcEconomíaspa
dc.subject.keywordCrimespa
dc.subject.keywordCityspa
dc.subject.keywordSharing economyspa
dc.subject.keywordPeer-to-peer economyspa
dc.subject.lembEconomía colaborativaspa
dc.subject.lembCrimenspa
dc.subject.lembPrevención del delitospa
dc.titleThe impact of sharing economy on urban crimespa
dc.title.TranslatedTitleEl impacto de la economía colaborativa en el crimen urbanospa
dc.typemasterThesiseng
dc.type.documentTesisspa
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersion
dc.type.spaTesis de maestríaspa
Archivos
Bloque original
Mostrando1 - 1 de 1
Cargando...
Miniatura
Nombre:
Tesis_Sara_Restrepo.pdf
Tamaño:
2.64 MB
Formato:
Adobe Portable Document Format
Descripción: