Remesas internacionales y bienestar infantil: un estudio sobre Cali, Colombia

Abadie, A., and Imbens, G. W. (2008). On the failure of the bootstrap for matching estimators. Econometrica, 76(6), 1537-1557. https://doi.org/10.3982/ECTA6474

Abadie, A., & Imbens, G. W. (2011). Bias-corrected matching estimators for average treatment effects. Journal of Business & Economic Statistics, 29(1), 1-11. https://doi.org/10.1198/jbes.2009.07333

Acosta, P. (2011). School attendance, child labour, and remittances from international migration in El Salvador. Journal of Development Studies, 47(6), 913–936.

Alcaraz, C., Chiquiar, D., & Salcedo, A. (2012). Remittances, schooling, and child labor in Mexico. Journal of Development Economics, 97(1), 156-165. https://doi.org/10.1016/j.jdeveco.2010.11.004

Ambler, K., Aycinena, D., & Yang, D. (2015). Channeling remittances to education: A field experiment among migrants from El Salvador. American Economic Journal: Applied Economics, 7(2), 207-232. https://doi.org/10.1257/app.20140010

Arango, L. E., de la Mata, D., & Obando, N. (2015). Echoes of the crises in Spain and US in the Colombian labor market: A differences-in-differences approach. SERIEs, 6(4), 441–477.

Asociación Bancaria y de Entidades Financieras de Colombia. (2013). Informe de inclusión financiera colombia 2012. Bogotá. ASOBANCARIA.

Attanasio, O., Fitzsimons, E., Gomez, A., Gutiérrez, M. I., Meghir, C., & Mesnard, A. (2010). Children’s schooling and work in the presence of a conditional cash transfer program in rural Colombia. Economic Development and Cultural Change, 58(2), 181-210. https://doi.org/10.1086/648188

Basu, K., & Van, P. H. (1998). The economics of child labor. The American Economic Review, 88(3), 412-427.

Becker, S. O., & Caliendo, M. (2007). Sensitivity analysis for average treatment effects. The Stata Journal: Promoting Communications on Statistics and Stata, 7(1), 71-83. https://doi.org/10.1177/1536867X0700700104

Bonilla-Mejía, L. (2016). Choques externos y remesas internacionales en las regiones de Colombia. Banco de la República. https://doi.org/10.32468/dtseru.250

Busso, M., DiNardo, J., & McCrary, J. (2014). New evidence on the finite sample properties of propensity score reweighting and matching estimators. Review of Economics and Statistics, 96(5), 885-897. https://doi.org/10.1162/REST_a_00431

Cuadros-Menaca, A. (2020). Remittances, health insurance, and pension contributions: Evidence from Colombia. World Development, 127, 104766. https://doi.org/10.1016/j.worlddev.2019.104766

Cuadros-Menaca, A., & Gaduh, A. (2019). Remittances, child labor, and schooling: Evidence from Colombia. Economic Development and Cultural Change. https://doi.org/10.1086/702790

de Haas, H. (2010). Migration and development: A theoretical perspective. International Migration Review, 44(1), 227-264. https://doi.org/10.1111/j.1747-7379.2009.00804.x

Dehejia, R. H., & Wahba, S. (2002). Propensity score-matching methods for nonexperimental causal studies. Review of Economics and Statistics, 84(1), 151-161. https://doi.org/10.1162/003465302317331982

Dinku, Y. (2019). The Impact of Public Works Programme on Child Labour in Ethiopia. South African Journal of Economics, 87(3), 283-301. https://doi.org/10.1111/saje.12226

Edmonds, E., & Schady, N. (2012). Poverty alleviation and child labor. American Economic Journal: Economic Policy. 4(4), 100-124.

Edmonds, E. V., & Pavcnik, N. (2005). Child Labor in the Global Economy. Journal of Economic Perspectives, 19(1), 199-220. https://doi.org/10.1257/0895330053147895

Edwards, A. C., & Ureta, M. (2003). International migration, remittances, and schooling: Evidence from El Salvador. Journal of Development Economics, 72(2), 429-461. https://doi.org/10.1016/S0304-3878(03)00115-9

Emerson, P. M., Ponczek, V., & Souza, A. P. (2017). Child Labor and Learning. Economic Development and Cultural Change, 65(2), 265-296. https://doi.org/10.1086/688895

Emerson, P. M., & Souza, A. P. (2011). Is Child Labor Harmful? The Impact of Working Earlier in Life on Adult Earnings. Economic Development and Cultural Change, 59(2), 345-385. https://doi.org/10.1086/657125

Espitia, C. G. G., Rodríguez, J. J. M., & Meñaca, A. F. C. (2014). Oportunidades educativas y características familiares en Colombia: Un análisis por cohortes. Revista de Economía del Rosario, 17(1), 157–187.

Hanson, G. H., & Woodruff, C. (2003). Emigration and educational attainment in Mexico. Mimeo., University of California at San Diego. http://www.childmigration.net/files/Hanson_2003.pdf

Huber, M., Lechner, M., & Steinmayr, A. (2012). RADIUSMATCH: Stata module to perform distance-weighted radius matching with bias adjustment,” Statistical Software Components.

International LabourOrganization. (2019). Tackling child labour: 100 years of action. Geneva, Switzerland.

Law 1098 of 2006: Código de la infancia y la adolescencia. Cong. (November 8 of 2006).

Law 115 of 1994: Ley General de Educación. Cong, (February 8 of 1994).

Lechner, M., Miquel, R., & Wunsch, C. (2011). Long-run effects of public sector sponsored training in west Germany. Journal of the European Economic Association, 9(4), 742-784. https://doi.org/10.1111/j.1542-4774.2011.01029.x

Londoño-Vélez, J., Rodríguez, C., & Sánchez, F. (2020). Upstream and downstream impacts of college merit-based financial aid for low-income students: Ser Pilo Paga in Colombia. American Economic Journal: Economic Policy, 12(2), 193-227. https://doi.org/10.1257/pol.20180131

Luis Miguel, T. C., & Juan Sebastián, V. V. (2007). Los efectos de la migración internacional en las condiciones de vida de los hogares colombianos. Revista Desarrollo y Sociedad, 60, 155-197. https://doi.org/10.13043/dys.60.5

Mantel, N., & Haenszel, W. (1959). Statistical aspects of the analysis of data from retrospective studies of disease. JNCI: Journal of the National Cancer Institute. https://doi.org/10.1093/jnci/22.4.719

McKenzie, D. J. (2005). Measuring inequality with asset indicators. Journal of Population Economics, 18(2), 229-260. https://doi.org/10.1007/s00148-005-0224-7

Ministerio de Educación Nacional. (2012). Deserción escolar en Colombia. http://colombiadigital.net/desercion-escolar/item/4086-deserci%C3%B3n-escolar-en-colombia-factores-de-riesgo-por-regi%C3%B3n.html.

Mora Rodríguez, J. J. (2013). Gender differences between remittances and labor participation in developing countries: A cross-section analysis of Colombia in year 2008. Applied Econometrics and International Development, Vol. 13, No. 1-2013, 13(1), 99–112.

Ramírez Herrera, C., & MendozaS., L. (2013). Perfil migratorio de Colombia 2012: OIM - Colombia. Organización Internacional para las Migraciones.

Ravallion, M., & Wodon, Q. (2000). Does child labour displace schooling? Evidence on behavioural responses to an enrollment subsidy. The Economic Journal, 110(462), 158-175. https://doi.org/10.1111/1468-0297.00527

Rosenbaum, P. R. (2002). Overt bias in observational studies. In Observational Studies (pp. 71-104). Springer, New York. https://doi.org/10.1007/978-1-4757-3692-2_3

Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41-55. https://doi.org/10.1093/biomet/70.1.41

Salas, V. B. (2014). International remittances and human capital formation. World Development, 59, 224-237. https://doi.org/10.1016/j.worlddev.2014.01.035

Sasin, M. J., & McKenzie, D. (2007). Migration, remittances, poverty, and human capital: Conceptual and empirical challenges. The World Bank. https://doi.org/10.1596/1813-9450-4272

Taylor, E. J. (1999). The new Economics of labour migration and the role of remittances in the migration process. International Migration, 37(1), 63-88. https://doi.org/10.1111/1468-2435.00066