dc.contributorSarmiento Barbieri, Ignacio
dc.contributorGuzmán García, Luis Ángel
dc.contributorTovar Mora, Jorge Andrés
dc.contributorGómez Cardona, Santiago
dc.creatorOchoa Rincón, Jorge Luis
dc.date.accessioned2023-07-18T20:57:31Z
dc.date.accessioned2023-09-07T00:51:50Z
dc.date.available2023-07-18T20:57:31Z
dc.date.available2023-09-07T00:51:50Z
dc.date.created2023-07-18T20:57:31Z
dc.date.issued2023-06-30
dc.identifierhttp://hdl.handle.net/1992/68518
dc.identifierinstname:Universidad de los Andes
dc.identifierreponame:Repositorio Institucional Séneca
dc.identifierrepourl:https://repositorio.uniandes.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8727890
dc.description.abstractEste trabajo estima aumentos en bienestar utilizando datos detallados de un experimento de subsidios al transporte público en Bogotá, Colombia. La variación experimental efectiva en la asignación de subsidios permite la identificación de parámetros claves en un modelo de elección discreta, resultando en estimaciones creíbles del aumento en bienestar en los beneficiarios de la intervención. El programa aumentó en promedio el bienestar mensual de los participantes, medido como excedente del consumidor, en $COP48.085 o 3,1% del promedio del ingreso mensual de los hogares. Aumentos mensuales en bienestar son casi 5 veces menores en los desplazamientos por trabajo frente a otros motivos. Gran parte de la heterogeneidad se explica por tiempos de viaje y menor flexibilidad en los horarios de inicio de los desplazamientos.
dc.languagespa
dc.publisherUniversidad de los Andes
dc.publisherMaestría en Economía
dc.publisherFacultad de Economía
dc.relationAbebe, G., Caria, A. S., Fafchamps, M., Falco, P., Franklin, S., and Quinn, S. (2021). Anony- mity or distance? job search and labour market exclusion in a growing african city. The Review of Economic Studies, 88(3):1279-1310.
dc.relationAllen, T. and Arkolakis, C. (2022). The welfare effects of transportation infrastructure improve- ments. The Review of Economic Studies, 89(6):2911-2957. [4]
dc.relationBen-Akiva, M. and Lerman, S. (1975). Disaggregate behavioural model of automobile ownership. Transportation Research Record, 569:34-51
dc.relationBerge, L. (2018). Efficient estimation of maximum likelihood models with multiple fixed-effects: the R package FENmlm. CREA Discussion Papers, (13).
dc.relationBerry, S. T. and Haile, P. A. (2021). Foundations of demand estimation. In Handbook of Industrial Organization, volume 4, pages 1-62. Elsevier.
dc.relationBocarejo, J. P., Escobar, D., Hernandez, D. O., and Galarza, D. (2016). Accessibility analysis of the integrated transit system of Bogotá. International Journal of Sustainable Transportation, 10(4):308-320.
dc.relationBrough, R., Freedman, M., and Phillips, D. C. (2022). Experimental evidence on the effects of means-tested public transportation subsidies on travel behavior. Regional Science and Urban Economics, page 103803
dc.relationBryan, G., Chowdhury, S., and Mobarak, A. M. (2014). Underinvestment in a profitable technology: The case of seasonal migration in bangladesh. Econometrica, 82(5):1671-1748.
dc.relationBryan, G., Glaeser, E., and Tsivanidis, N. (2020). Cities in the developing world. Annual Review of Economics, 12:273-297.
dc.relationBuchholz, N., Doval, L., Kastl, J., Mate¿jka, F., and Salz, T. (2020). The value of time: Evidence from auctioned cab rides. Technical report, National Bureau of Economic Research.
dc.relationBull, O., Muñoz, J. C., and Silva, H. E. (2021). The impact of fare-free public transport on travel behavior: Evidence from a randomized controlled trial. Regional Science and Urban Economics, 86:103616.
dc.relationCantillo-García, V., Guzman, L. A., and Arellana, J. (2019). Socioeconomic strata as proxy va- riable for household income in transportation research. evaluation for bogotá, medellín, cali and barranquilla. Dyna, 86(211):258-267.
dc.relationChristensen, P. and Osman, A. (2021). The demand for mobility: Evidence from an experiment with uber riders.
dc.relationDesmet, K. and Rossi-Hansberg, E. (2013). Urban accounting and welfare. American Economic Review, 103(6):2296-2327.
dc.relationFranklin, S. (2018). Location, search costs and youth unemployment: experimental evidence from transport subsidies. The Economic Journal, 128(614):2353-2379.
dc.relationGardner, J. (2022). Two-stage differences in differences. arXiv preprint arXiv:2207.05943.
dc.relationGoldszmidt, A., List, J. A., Metcalfe, R. D., Muir, I., Smith, V. K., and Wang, J. (2020). The value of time in the united states: Estimates from nationwide natural field experiments. Technical report, National Bureau of Economic Research.
dc.relationGoodman-Bacon, A. (2021). Difference-in-differences with variation in treatment timing. Journal of Econometrics, 225(2):254-277.
dc.relationGuzman, L., Gómez Cardona, S., and Ochoa, J. L. (2023). The effect of public transport subsi- dies on travel behavior and welfare: A large-scale randomized controlled field experiment in a developing context. Available at SSRN 4330371.
dc.relationGuzman, L. A., Arellana, J., Cantillo-García, V., and Ortúzar, J. d. D. (2021a). Revisiting the benefits of combining data of a different nature: Strategic forecasting of new mode alternatives. Journal of Advanced Transportation, 2021.
dc.relationGuzman, L. A., Beltran, C., Bonilla, J. A., and Cardona, S. G. (2021b). Brt fare elasticities from smartcard data: Spatial and time-of-the-day differences. Transportation Research Part A: Policy and Practice, 150:335-348.
dc.relationGuzman, L. A., Cantillo-Garcia, V. A., Arellana, J., and Sarmiento, O. L. (2022). User expectations and perceptions towards new public transport infrastructure: evaluating a cable car in bogotá. Transportation, pages 1-21.
dc.relationGuzman, L. A. and Oviedo, D. (2018). Accessibility, affordability and equity: Assessing -pro- poor-public transport subsidies in bogotá. Transport Policy, 68:37-51.
dc.relationGuzman, L. A., Oviedo, D., and Bocarejo, J. P. (2017a). City profile: the bogotá metropolitan area that never was. Cities, 60:202-215.
dc.relationGuzman, L. A., Oviedo, D., and Rivera, C. (2017b). Assessing equity in transport accessibility to work and study: The bogotá region. Journal of Transport Geography, 58:236-246.
dc.relationIglesias,P.,Ortúzar,J.d.D.,Rodríguez-Valencia,Á.,Giraldez Zúñiga,F.,andCalatayud,A.(2022). Entendiendo la elección modal del automóvil en ciudades de alc.
dc.relationLeón, G. and Miguel, E. (2017). Risky transportation choices and the value of a statistical life. American Economic Journal: Applied Economics, 9(1):202-28.
dc.relationLizana,P., de Dios Ortúzar,J.,Arellana,J.,and Rizzi ,L.I.(2021). Forecastingwithajoint mode/time-of-day choice model based on combined rp and sc data. Transportation Research Part A: Policy and Practice, 150:302-316.
dc.relationMcFadden, D. (1974). The measurement of urban travel demand. Journal of public economics, 3(4):303-328.
dc.relationMcFadden, D., Talvitie, A., Cosslett, S., Hasan, I., Johnson, M., Reid, F., and Train, K. (1977). Demand model estimation and validation. Urban Travel Demand Forecasting Project, Phase, 1.
dc.relationPeña, J., Luis, A., Arellana, J., et al. (2022). Which dots to connect? employment centers and commuting inequalities in bogotá. Journal of Transport and Land Use, 15(1):17-34.
dc.relationPhillips, D. C. (2014). Getting to work: Experimental evidence on job search and transportation costs. Labour Economics, 29:72-82.
dc.relationSmall, K. and Verhoef, E. T. (2007). The economics of urban transportation. Routledge.
dc.relationSmall, K. A. and Rosen, H. S. (1981). Applied welfare economics with discrete choice models. Econometrica: Journal of the Econometric Society, pages 105-130.
dc.relationThorhauge, M., Swait, J., and Cherchi, E. (2020). The habit-driven life: accounting for inertia in departure time choices for commuting trips. Transportation Research Part A: Policy and Practice, 133:272-289.
dc.relationTrain, K. and McFadden, D. (1978). The goods/leisure tradeoff and disaggregate work trip mode choice models. Transportation research, 12(5):349-353.
dc.relationTrain, K. E. (2009). Discrete choice methods with simulation. Cambridge university press.
dc.relationTsivanidis, J. N. (2018). The aggregate and distributional effects of urban transit infrastructure: Evidence from bogotá's transmilenio. Technical report, University of Chicago.
dc.relationWorld Bank (2021). World development indicators.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.titleModelo de elección de modos de transporte: Evidencia de un experimento social controlado
dc.typeTrabajo de grado - Maestría


Este ítem pertenece a la siguiente institución