Promoting financial inclusion: do unconditional e-money transfers work?

dc.contributorKiuhan Vásquez, Samir Alejandro
dc.contributorZuleta González, Hernando
dc.contributorAker, Jenny
dc.contributorLópez Uribe, María del Pilar
dc.creatorGarnica Toro, Óscar Andrés
dc.creatorKiuhan Vásquez, Samir Alejandro
dc.date.accessioned2023-07-28T22:33:52Z
dc.date.accessioned2023-09-07T02:24:39Z
dc.date.available2023-07-28T22:33:52Z
dc.date.available2023-09-07T02:24:39Z
dc.date.created2023-07-28T22:33:52Z
dc.date.issued2023-07-25
dc.identifierhttp://hdl.handle.net/1992/68885
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/2250/8729284
dc.description.abstractThis research paper evaluates the impact of social assistance payments in the form of mobile money on financial inclusion. Through digital wallets, we exploit the disbursement of monetary support for vulnerable people in Colombia. Using a Regression Discontinuity Design (RDD) and administrative data on transactions, we test the effects of mobile money aid on transaction use, such as wire money transfers and cash-outs, and end-of-the-month balances. We find that (i) the program increased by 1.4 p.p. the average probability of using wire money transfers in the period analyzed. This represents an increase of 24% compared to the control group's average use of wire money transfers. (ii) The probability of cashing money out decreases by 76.6% when comparing the first semester to the fifth semester of continuous use. Finally, (iii) we find that eligible users increased their end-of-the-month balance by 27.6% compared to the non-eligible group's average end-of-the-month deposit account balance.
dc.languageeng
dc.publisherUniversidad de los Andes
dc.publisherMaestría en Economía
dc.publisherFacultad de Economía
dc.relationAhmed, H., & Cowan, B. (2021). Mobile money and healthcare use: Evidence from East Africa. World Development, 141, 105392. https://doi.org/10.1016/j.worlddev.2021.105392
dc.relationAker, J. C., Boumnijel, R., McClelland, A., & Tierney, N. (2016). Payment mechanisms and antipoverty programs: Evidence from a mobile money cash transfer experiment in Niger. Economic Development and Cultural Change, 65(1), 1-37. https://doi.org/10.1086/687578
dc.relationAker, J. C., & Mbiti, I. M. (2010). Mobile phones and economic development in Africa. Journal of Economic Perspectives, 24(3), 207-232. https://doi.org/10.1257/jep.24.3.207
dc.relationBeck, T., & Demirgüç-Kunt, A. (2008). Access to Finance: An Unfinished Agenda. The World Bank Economic Review, 22(3), 383-396. https://doi.org/10.1093/wber/lhn021
dc.relationCalonico, S., Cattaneo, M. D., & Titiunik, R. (2014). Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs. Econometrica, 82(6), 2295-2326. https://doi.org/10.3982/ECTA11757
dc.relationCattaneo, M. D., Idrobo, N., & Titiunik, R. (2019). A Practical Introduction to Regression Discontinuity Designs. Cambridge University Press. https://doi.org/10.1017/9781108684606
dc.relationCattaneo, M. D., Idrobo, N., & Titiunik, R. (2023). A Practical Introduction to Regression Discontinuity Designs: Extensions.
dc.relationCattaneo, M. D., Jansson, M., & Ma, X. (2018). Manipulation Testing Based on Density Discontinuity. The Stata Journal: Promoting Communications on Statistics and Stata, 18(1), 234-261. https://doi.org/10.1177/1536867X1801800115
dc.relationCejudo, G., Michel, C. L., & Ramírez, D. L. (2021). Inventario y caracterización de los programas de apoyo al ingreso en América Latina y el Caribe frente a COVID-19. https://doi.org/10.18235/0003840
dc.relationDANE. (2022). Pobreza monetaria y grupos de ingreso en Colombia.
dc.relationDanquah, M., & Iddrisu, A. M. (2018). Access to mobile phones and the wellbeing of non-farm enterprise households: Evidence from Ghana. Technology in Society, 54, 1-9. https://doi.org/10.1016/j.techsoc.2018.01.012
dc.relationDavidovic, S., Nunhuck, S., Prady, D., Tourpe, H., & Anderson, E. (2020). Beyond the COVID-19 Crisis: A Framework for Sustainable Government-To-Person Mobile Money Transfers. IMF Working Papers, 2020(198). https://doi.org/10.5089/9781513557670.001.A001
dc.relationDemirgüç-Kunt, A., Klapper, L., Singer, D., & Ansar, S. (2022). The Global Findex Database 2021. The World Bank. https://doi.org/10.1596/978-1-4648-1897-4
dc.relationDemirgüç-Kunt, A., Klapper, L., Singer, D., Ansar, S., & Hess, J. (2020). The Global Findex Database 2017: Measuring Financial Inclusion and Opportunities to Expand Access to and Use of Financial Services. World Bank Economic Review, 34(Supplement_1), S2-S8. https://doi.org/10.1093/wber/lhz013
dc.relationDemirgüç-Kunt, A., Klapper, L., Singer, D., & Oudheusden, P. Van. (2015). The Global Findex Database 2014. World Bank Policy Research Working Paper, 7255. https://doi.org/10.1596/1813-9450-7255
dc.relationDNP. (2022). Información sobre el programa Ingreso Solidario | DNP. https://www.dnp.gov.co/DNPN/Paginas/Informacion-sobre-el-programa-Ingreso-Solidario.aspx
dc.relationDPS. (2022). MANUAL PROGRAMA INGRESO SOLIDARIO. chrome-extension://http://centrodedocumentacion.prosperidadsocial.gov.co/2020/Ingreso-Solidario/Manual-Operativo-Ingreso-Soldario.pdf
dc.relationDuvendack, M., & Mader, P. (2020). IMPACT OF FINANCIAL INCLUSION IN LOW AND MIDDLE INCOME COUNTRIES: A SYSTEMATIC REVIEW OF REVIEWS. Journal of Economic Surveys, 34(3), 594-629. https://doi.org/10.1111/joes.12367
dc.relationGallego, J., Hoffmann, B., Ibarrarán, P., Medina, M. P., Pecha, C., Romero, O., Stampini, M., Vargas, D., & Vera-Cossio, D. A. (2021). Impactos del programa Ingreso Solidario frente a la crisis del COVID-19 en Colombia. https://doi.org/10.18235/0003261
dc.relationGentilini, U., Almenfi, M., Dale, P., Lopez, A. V, & Zafar, U. (2020). Social Protection and Jobs Responses to COVID-19: A Real-Time Review of Country Measures. In Social Protection and Jobs Global Practice (Vol. 4).
dc.relationGSMA. (2019). State of the Industry Report on Mobile Money 2019. https://www.gsma.com/sotir/#previous-reports
dc.relationGSMA. (2020). The Mobile Economy 2020. https://www.gsma.com/mobileeconomy/wp-content/uploads/2020/03/GSMA_MobileEconomy2020_Global.pdf
dc.relationJack, W., & Suri, T. (2014). Risk sharing and transactions costs: Evidence from Kenya's mobile money revolution. American Economic Review, 104(1), 183-223. https://doi.org/10.1257/aer.104.1.183
dc.relationLondoño-Vélez, J., & Querubín, P. (2022). The Impact of Emergency Cash Assistance in a Pandemic: Experimental Evidence from Colombia. The Review of Economics and Statistics, 104(1), 157-165. https://doi.org/10.1162/rest_a_01043
dc.relationMahler, D. G., Yonzan, N., Lakner, C., Castaneda Aguilar, R. A., & Wu, H. (2021). Updated estimates of the impact of COVID-19 on global poverty: Turning the corner on the pandemic in 2021? World Bank Data Blog.
dc.relationRiley, E. (2018). Mobile money and risk sharing against village shocks. Journal of Development Economics, 135, 43-58. https://doi.org/10.1016/j.jdeveco.2018.06.015
dc.relationRosero, L. M., Castanó, L., & Sarmiento, A. (2012). SISBEN: A unified vulnerability assessment and identification system for social assistance Social Protection in Action: In International Labour Office. http://www.ilo.org/global/topics/dw4sd/WCMS_568689/lang¿en/index.htm
dc.relationSakyi-Nyarko, C., Ahmad, A. H., & Green, C. J. (2022). Investigating the well-being implications of mobile money access and usage from a multidimensional perspective. Review of Development Economics, 26(2), 985-1009. https://doi.org/10.1111/rode.12848
dc.relationSuri, T. (2017a). Mobile money. In Annual Review of Economics (Vol. 9). https://doi.org/10.1146/annurev-economics-063016-103638
dc.relationSuri, T. (2017b). Mobile money. Annual Review of Economics, 9, 497-520. https://doi.org/10.1146/annurev-economics-063016-103638
dc.relationSuri, T., Bharadwaj, P., & Jack, W. (2021). Fintech and household resilience to shocks: Evidence from digital loans in Kenya. Journal of Development Economics, 153, 102697. https://doi.org/10.1016/j.jdeveco.2021.102697
dc.relationSuri, T., & Jack, W. (2016). The long-run poverty and gender impacts of mobile money. Science, 354(6317), 1288-1292. https://doi.org/10.1126/science.aah5309
dc.relationWorld Bank. (2022). World Development Report 2022: Finance for an Equitable Recovery. The World Bank. https://doi.org/10.1596/978-1-4648-1730-4
dc.rightsAttribution-NoDerivatives 4.0 Internacional
dc.rightshttp://creativecommons.org/licenses/by-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.titlePromoting financial inclusion: do unconditional e-money transfers work?
dc.typeTrabajo de grado - Maestría


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