Ítem
Acceso Abierto

Impacto del Programa de Alimentación Escolar en el Trabajo Infantil: Una aproximación desde la toma de decisiones familiares

Mostrar el registro sencillo de la publicación
dc.contributor.advisorGuerra-Forero, José-Alberto
dc.contributor.advisorGallego Durán, Jorge Andrés
dc.creatorPorto Gutiérrez, Indira Margarita
dc.creator.degreeMagíster en Economía
dc.date.accessioned2016-06-23T13:45:03Z
dc.date.available2016-06-23T13:45:03Z
dc.date.created2016-05-05
dc.date.issued2016
dc.descriptionEsta investigación analiza el impacto del Programa de Alimentación Escolar en el trabajo infantil en Colombia a través de varias técnicas de evaluación de impacto que incluyen emparejamiento simple, emparejamiento genético y emparejamiento con reducción de sesgo. En particular, se encuentra que este programa disminuye la probabilidad de que los escolares trabajen alrededor de un 4%. Además, se explora que el trabajo infantil se reduce gracias a que el programa aumenta la seguridad alimentaria, lo que consecuentemente cambia las decisiones de los hogares y anula la carga laboral en los infantes. Son numerosos los avances en primera infancia llevados a cabo por el Estado, sin embargo, estos resultados sirven de base para construir un marco conceptual en el que se deben rescatar y promover las políticas públicas alimentarias en toda la edad escolar.spa
dc.description.abstractThis paper analyzes the impact of School Feeding Programs (PAE) on Child Labor in Colombia through various techniques of Impact Evaluation including Propensity Score Matching, Genetic Matching and Bias corrected Matching. Specifically, I find that PAE decreases the probability that girls and boys work around of 4%. In addition , it explores that child labor will be reduced thanks to PAE increase Food Security, which consequently changes the decisions of households and eliminates work charge in infants. There are numerous advances in early childhood conducted by the State, however, these results serve as the basis for a conceptual framework in which the public policy takes a great importance for girls and boys in school age.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.48713/10336_12091
dc.identifier.urihttp://repository.urosario.edu.co/handle/10336/12091
dc.language.isospa
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.ccAtribución-SinDerivadas 2.5 Colombiaspa
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.rights.urihttp://creativecommons.org/licenses/by-nd/2.5/co/
dc.source.bibliographicCitationAkabayashi, H., y Psacharopoulos, G. (1999). The trade off between child labour and human capital formation: A Tanzanian case study. The Journal of Development Studies, 35(5), 120-140
dc.source.bibliographicCitationAbadie, A., Drukker, D., Herr, J. L., y Imbens, G. W. (2004). Implementing matching estimators for average treatment effects in Stata. Stata journal, 4, 290-311.
dc.source.bibliographicCitationAbadie, A. (2005), “Semiparametric Difference-in-Differences Estimators,” Review of Economic Studies, 72, 1–19. [1]
dc.source.bibliographicCitationAbadie, A., y Imbens, G. W. (2011). Bias-corrected matching estimators for average treatment effects. Journal of Business & Economic Statistics
dc.source.bibliographicCitationAcosta. (2013). Evaluación de Operaciones y Resultados para Determinar el Grado de Efectividad del Programa de Alimentación Escolar – PAE. CINDE g-exponencial. Consultores.
dc.source.bibliographicCitationAfridi, F. (2010). Child welfare programs and child nutrition: Evidence from a mandated school meal program in India. Journal of Development Economics, 92(2), 152-165.
dc.source.bibliographicCitationAhmed, A. U., y Arends-Kuenning, M. (2006). Do crowded classrooms crowd out learning? Evidence from the food for education program in Bangladesh.World development, 34(4), 665-684
dc.source.bibliographicCitationAlderman, Harold., y Bundy, Donald. 2011. School feeding programs and development: are we framing the question correctly?. The World Bank Research Observer, lkr005.
dc.source.bibliographicCitationAdelman, Sarah, Daniel O. Gilligan, and Kim Lehrer. 2008. How Effective are Food for Education Programs? A Critical Assessment of the Evidence from Developing Countries. IFPRI Food Policy Review 9. Washington, DC: International Food Policy Research Institute
dc.source.bibliographicCitationÁlvarez MC, López A, Monsalve J, Giraldo N, Zapata O, Vélez O, et al. Seguridad alimentaria de los hogares de los niños que participan en el programa de Complementación Alimentaria alianza MANA - ICBF.
dc.source.bibliographicCitationAttanasio, O., y Gómez, L. C. (2004). Evaluación Del Impacto Del Programa Familias En Acción-Subsidios Condicionados de La Red de Apoyo Social
dc.source.bibliographicCitationBaland, J. M., y Robinson, J. A. (2000). Is child labor inefficient?. journal of Political Economy, 108(4), 663-679.
dc.source.bibliographicCitationBasu, K., y Van, P. H. (1998). The economics of child labor. American economic review, 412- 427.
dc.source.bibliographicCitationBasu, K., y Tzannatos, Z. (2003). The Global Child Labor Problem: What do we know and what can we do?. The world bank economic review, 17(2), 147-173.
dc.source.bibliographicCitationBecker, G, S. (1981). A Treatise on the Family. Harvard University Press
dc.source.bibliographicCitationBecker, G. S. (2009). Human capital: A theoretical and empirical analysis, with special reference to education. University of Chicago Press.
dc.source.bibliographicCitationBeegle, K., De Weerdt, J., y Dercon, S. (2006). Poverty and wealth dynamics in tanzania: Evidence from a tracking survey. World Bank. Washington, DC. Processed
dc.source.bibliographicCitationBehrman, J., Hoddinott, J., Maluccio, J., Quisumbing, A., Martorell, R., y Stein, A. (2003). The impact of experimental nutrition interventions on education into adulthood in rural Guatemala: a longitudinal preliminary analysis. Mimeo
dc.source.bibliographicCitationBernal, R. y Peña, X. (2011). Guía práctica para la evaluación de impacto (No. 361.25 B517). Universidad de Los Andes, Bogotá (Colombia).
dc.source.bibliographicCitationBernal, R., y Fernández, C. (2013). Subsidized childcare and child development in Colombia: Effects of Hogares Comunitarios de Bienestar as a function of timing and length of exposure. Social Science & Medicine, 97, 241-249
dc.source.bibliographicCitationBhalotra, S., y Heady, C. (2003). Child farm labor: The wealth paradox. The World Bank Economic Review, 17(2), 197-227
dc.source.bibliographicCitationBlundell, R., y Pistaferri, L. (2003). Income volatility and household consumption: The impact of food assistance programs. Journal of Human resources, 1032-1050.
dc.source.bibliographicCitationBundy, Donald, S. Shaeffer, M. Jukes, K. Beegle, A. Gillespie, L. Drake, F.L. Seung-hee, AM. Hoffman, J. Jones, A. Mitchell, C. Wright, D. Camara, C. Golmar, L. Savioli, T. Takeuchi, and M. Sembene. 2006. “School Based Health and Nutrition Programs.” In D. Jamison, J.G. Breman, A.R. Measham, G. Alleyne, M. Claeson, D. Evans, P. Jha, A. Mills, and P Musgrove., eds., Disease Control Priorities in Developing Countries. 2nd edn. New York:World Bank and Oxford University Press: 1091–108.
dc.source.bibliographicCitationCamacho, A. (2008). Stress and Birth Outcomes: Evidence from Terrorist Attacks in. In Colombia”, American Economic Review
dc.source.bibliographicCitationCameron, S. V., & Heckman, J. J. (1998). Life cycle schooling and dynamic selection bias: Models and evidence for five cohorts (No. w6385). National Bureau of Economic Research
dc.source.bibliographicCitationCanagarajah, S., y Coulombe, H. (1997). Child labor and schooling in Ghana. World Bank Policy Research Working Paper, (1844).
dc.source.bibliographicCitationCurrie, J. (2001). Early childhood education programs. The Journal of Economic Perspectives, 15(2), 213-238
dc.source.bibliographicCitationCueto, S., Chinen, M. (2001). Impacto educativo de un programa de desayunos escolares en escuelas rurales del Perú.
dc.source.bibliographicCitationDammert, A. (2005). Does child labor decline with household income? A non-parametric approach. Syracuse University
dc.source.bibliographicCitationDas, J., Do, Q. T., y Özler, B. (2005). Reassessing conditional cash transfer programs. The World Bank Research Observer, 20(1), 57-80.
dc.source.bibliographicCitationDehejia, Rajeev (2005). “Practical Propensity Score Matching: A Reply To Smith and Todd.” Journal of Econometrics, 125, 355–364
dc.source.bibliographicCitationDurrant, J. E. (2011). Positive Discipline in Every Day Parenting. Save the Children Sweden and Global Initaitive to End all Corporal Punishment of Children. Tercera Edición.
dc.source.bibliographicCitationErsado, L. (2005). Child Labor and Schooling Decisions in Urban and Rural Areas: Comparative Evidence from Nepal, Peru, and Zimbabwe. World Development,
dc.source.bibliographicCitationFeldman, R. S. (2011). Child Development. Pearson Education, Inc. Sixth Edition.
dc.source.bibliographicCitationGertler, P., Patrinos, H. A., y Rodríguez-Oreggia, E. 2012. Parental Empowerment in Mexico: Randomized Experiment of the .Apoyos a la Gestión Escolar (AGE)ïn Rural Primary Schools in Mexico. Washington, DC: The World Bank
dc.source.bibliographicCitationGuarcello, L., Mealli, F., y Rosati, F. C. (2010). Household vulnerability and child labor: the effect of shocks, credit rationing, and insurance. Journal of population economics, 23(1), 169-198
dc.source.bibliographicCitationFrankerburg, W.k, Dodds, J., Archer, P., Shapiro, H. y Bresnick, B. 1992. The Denver II: A major revision and restandardization of the Denver Developmental Screening Test. Pediatrics, 89, 91-97
dc.source.bibliographicCitationGonzález, L., Claros, S., Cano, G., y Flechas, H. (2009). Comparación evaluación costo beneficio programas nutricionales en Colombia: Familias en Acción y Hogares Comunitarios. Bogotá: Departamento Nacional de Planeación
dc.source.bibliographicCitationGrantham-McGregor, S. M., Walker, S. P., Chang, S. M., y Powell, C. A. (1997). Effects of early childhood supplementation with and without stimulation on later development in stunted Jamaican children. American Journal of Clinical Nutrition 66, 247-253.
dc.source.bibliographicCitationHamelin AM, Habitch JP, Beaudry M. Food insecurity: consequences for the household and broader social implications. J Nutr. 1999; 129(2S Suppl):5255-85
dc.source.bibliographicCitationGrantham-McGregor, S. M., Cheung, Y.B., Cueto, S., Glewwe, P., Richter, L., Strupp, B., y the International Child Development Steering Group. 2007. Developmental Potential in the First 5 Years for Children in Developing Countries. The Lancet, Vol 369, 69-70
dc.source.bibliographicCitationHackett M, Melgar-Quinonez H, Taylor CA, Álvarez Uribe MC. Factors associated with household food security of participants of the MANA food supplement program in Colombia. Arch Latinoam Nutr. 2010; 60(1):42-7
dc.source.bibliographicCitationHe, H. (2016). Child labour and academic achievement: Evidence from Gansu Province in China. China Economic Review, 38, 130-150
dc.source.bibliographicCitationHeady, C. (2003). The effect of child labor on learning achievement. World Development, 31(2), 385-398.
dc.source.bibliographicCitationInstituto Colombiano de Bienestar Infantil. (2007). Lineamientos Técnicos Programa de Alimentación Escolar
dc.source.bibliographicCitationIslam, Mahnaz, and John Hoddinott. 2009. “Evidence of Intrahousehold Flypaper Effects from a Nutrition Intervention in Rural Guatemala.” Economic Development and Cultural Change 57(2): 215–38.
dc.source.bibliographicCitationJacoby, Hanan G. 2002. “Is there an Intrahousehold ‘Flypaper Effect’? Evidence from a School Feeding Programme.” Economic Journal 112(476): 196–221
dc.source.bibliographicCitationJacoby, H. G., y Skoufias, E. (1997). Risk, financial markets, and human capital in a developing country. The Review of Economic Studies, 64(3), 311-335
dc.source.bibliographicCitationJohnson, W. R., y Neal, D. (1998). Basic skills and the black-white earnings gap. The Black- White test score gap, 480-497.
dc.source.bibliographicCitationJukes, M.C.H., L.J. Drake, and D.A.P. Bundy. 2007. School Health, Nutrition, and Education for All: Leveling the Playing Field. Wallingford, Oxfordshire, UK: CAB International.
dc.source.bibliographicCitationKail, R.V. 2004. Cognitive development includes global and domain-specific processes. Merrill- Palmer Quarterly, 50, 445-455
dc.source.bibliographicCitationKazianga, Harounan, Damien deWalque, and Harold Alderman. 2009. “Educational and Health Impact of Two School Feeding Schemes: Evidence from a Randomized Trial in Rural Burkina Faso.” World Bank Policy Research Working Paper 4976
dc.source.bibliographicCitationKeane, M. P., & Wolpin, K. I. (1997). The career decisions of young men. Journal of political Economy, 105(3), 473-522
dc.source.bibliographicCitationKristjansson, E.A., V. Robinson, M. Petticrew, B. MacDonald, J. Krasevec, L. Janzen, T. Greenhalgh, G. Wells, J. MacGowan, A. Farmer, B.J. Shea, A. Mayhew, and P. Tugwell. 2007. “School Feeding for Improving the Physical and Psychosocial Health of Disadvantaged Elementary School Children.” Cochrane Database of Systematic Reviews Issue 1, Art. CD004676. (www.cochrane.org/ reviews/en/ab004676.html)
dc.source.bibliographicCitationKruger, D. (2004). Child labor and schooling during a Coffee Sector Boom: Nicaragua 1993- 1998. Trabjo Infantil: Teoría y Evidencia desde Latinoamerica
dc.source.bibliographicCitationLabenne, S. (1997). The determinants of child labor in India. Manuscript. Namur, Belgium: Univ. Namur, Center Res. Econ. Development
dc.source.bibliographicCitationLevison, D., Anker, R., Ashraf, S., y Barge, S. (1996). Is child labor really necessary in Indias carpet industry?. [Unpublished] 1994. Presented at the Annual Meeting of the Population Association of America Miama Florida May 5-7 1994
dc.source.bibliographicCitationMcEwan, P. J. (2013). The impact of Chile’s school feeding program on education outcomes. Economics of Education Review, 32, 122-139
dc.source.bibliographicCitationMelgar-Quinonez H, Zubieta A, Mk-Nelly B, Nteziyaremye A, Gerardo M, Dunford C. Household Food insecurity and daily per capita food expenditure in Bolivia, Burkina Faso and the Philippines. Journal of Nutrition. 2006; 136: 1431S-7S
dc.source.bibliographicCitationMhurchu, C. N., Turley, M., Gorton, D., Jiang, Y., Michie, J., Maddison, R., & Hattie, J. (2010). Effects of a free school breakfast programme on school attendance, achievement, psychosocial function, and nutrition: a stepped wedge cluster randomised trial. BMC Public Health, 10738-743. doi:10.1186/1471-2458-10-738
dc.source.bibliographicCitationMurnane, R. J., Willett, J. B., & Levy, F. (1995). The Growing Importance of Cognitive Skills in Wage Determination. The Review of Economics and Statistics, (2). 251
dc.source.bibliographicCitationOrganización Internacional del trabajo. (2012). Desarrollo de la Política Pública para la prevención y erradicación del trabajo infantil en Colombia
dc.source.bibliographicCitationPiaget, J. 1962. Play, dreams and imitation in childhood. New York: Norton.
dc.source.bibliographicCitationPiaget, J. 1983. Piaget’s theory. In W. Kessen (Ed.) P.H. Mussen (Series Ed.) Handbook of child psychology: Vol 1. History, theory and methods (pp. 103-128). New York: Wiley
dc.source.bibliographicCitationPowell, C. A., Walker, S. P., Chang, S. M., y Grantham-McGregor, S. M. (1998). Nutrition and education: a randomized trial of the effects of breakfast in rural primary school children. The American journal of clinical nutrition, 68(4), 873-879
dc.source.bibliographicCitationQuiroga, B. M. (2006). Trabajo infantil en los niños y jóvenes beneficiarios del programa Familias en Acción: una evaluación de impacto. Fedesarrollo.
dc.source.bibliographicCitationRavallion, M., y Wodon, Q. (2000). Does child labour displace schooling? Evidence on behavioural responses to an enrollment subsidy. The Economic Journal, 110(462), 158-175
dc.source.bibliographicCitationRay, R. (2000). Child labor, child schooling, and their interaction with adult labor: Empirical evidence for Peru and Pakistan. The World Bank Economic Review, 14(2), 347-367
dc.source.bibliographicCitationRodriguez, C., y Sanchez, F. (2012). Armed conflict exposure, human capital investments, and child labor: Evidence from Colombia. Defence and peace economics, 23(2), 161-184.
dc.source.bibliographicCitationRosenbaum, P and Rubin, D. (1983). The Central Role of Propensity Score in Observational Studies of Causal Effect. Biometrika
dc.source.bibliographicCitationRosenzweig, M. R., y Wolpin, K. I. (1985). Specific experience, household structure, and intergenerational transfers: farm family land and labor arrangements in developing countries. The Quarterly Journal of Economics, 961-987
dc.source.bibliographicCitationSekhon, J. S., y Diamond, A. (2005). Genetic matching for estimating causal effects. In Unpublished Manuscript. Presented at the Annual Meeting of the Political Methodology, Tallahassee, FL
dc.source.bibliographicCitationSekhon, J. S., y Mebane,W. R. (1998). Genetic optimization using derivatives. Political Analysis, 7(1), 187-210
dc.source.bibliographicCitationSmith, J. A., y Todd, P. E. (2005). Does matching overcome LaLonde’s critique of nonexperimental estimators?. Journal of econometrics, 125(1), 305-353
dc.source.bibliographicCitationSymons, C. W., Cinelli, B., James, T. C., y Groff, P. (1997). Bridging student health risks and academic achievement through comprehensive school health programs. Journal of school Health, 67(6), 220-227
dc.source.bibliographicCitationThomas, D., Beegle, K., Frankenberg, E., Sikoki, B., Strauss, J., y Teruel, G. (2004). Education in a Crisis. Journal of Development Economics, 74(1), 53-85
dc.source.bibliographicCitationvan Stuijvenberg, M.E., J.D. Kvalsvig, M. Faber, M. Kruger, D.G. Kenoyer, and A.J. Benade. 1999. “Effect of Iron-, Iodine-, and b-carotene-fortified Biscuits on the Micronutrient Status of Primary School Children: A Randomized Controlled Trial.” American Journal of Clinical Nutrition 69: 497–503
dc.source.bibliographicCitationWahba, J. (2000). Child labor and poverty transmission: no room for dreams. Economic Research Forum for the Arab countries, Iran y Turkey
dc.source.bibliographicCitationWhaley, Shannon, Marian Sigman, Charlotte Neumann, Nimrod Guthrie, Robert E. Weiss, Susan AlberSuzanne P. Murphy. 2003. “The Impact of Dietary Intervention on the Cognitive Development of Kenyan School Children.” Journal of Nutrition 133(11): 3965S–3971S
dc.source.bibliographicCitationWalker, W.A. y Humphries, C. 2005. The Harvard Medical School Guide to Healthy Eating during Prenancy. New York: McGraw-Hill
dc.source.bibliographicCitationWebb P, Coates J, Frongillo EA, Rogers BL, Swindale A, Bilinsky P. Measuring household food insecurity: why it’s so important ant yet so difficult to do. J Nutr. 2006; 136(5): 1404S-8SWebb P, Coates J, Frongillo EA, Rogers BL, Swindale A, Bilinsky P. Measuring household food insecurity: why it’s so important ant yet so difficult to do. J Nutr. 2006; 136(5): 1404S-8S
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subjectEvaluación de Impactospa
dc.subjectPrograma de Alimentación Escolarspa
dc.subjectEmparejamientospa
dc.subjectGenetic Matchingspa
dc.subjectMatchingspa
dc.subjectTrabajo Infantilspa
dc.subjectEducaciónspa
dc.subject.ddcProblemas sociales & bienestar social en general
dc.subject.keywordImpact evaluationeng
dc.subject.keywordPropensity score matchingeng
dc.subject.keywordGenetic matchingeng
dc.subject.keywordBias corrected matchingeng
dc.subject.keywordChild laboreng
dc.subject.keywordSchool Feeding Programseng
dc.subject.keywordEducationeng
dc.subject.lembAlimentos para escolaresspa
dc.subject.lembInfanciaspa
dc.subject.lembAsistencia públicaspa
dc.subject.lembAbuso del niñospa
dc.subject.lembFamiliaspa
dc.subject.lembPolíticas de desarrollospa
dc.subject.lembColombiaspa
dc.titleImpacto del Programa de Alimentación Escolar en el Trabajo Infantil: Una aproximación desde la toma de decisiones familiaresspa
dc.typemasterThesiseng
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersion
dc.type.spaTesis de maestríaspa
Archivos
Bloque original
Mostrando1 - 1 de 1
Miniatura
Nombre:
PortoGutierrez-IndiraMargarita-2016.pdf
Tamaño:
327.4 KB
Formato:
Adobe Portable Document Format
Descripción:
Tesis de Maestría
Descargar
Colecciones
Maestría en Economía