Main Article Content

Authors





The objective of this paper is to analyze the probability that a high school student has of attending an official school in Colombia, given some sociodemographic and family variables during the years 2009, 2014 and 2019. Quantitative information is available from the ICFES the Saber 11° test. Two types of analysis were performed, on the one hand, the presence of local spatial autocorrelation was examined through the clustering autocorrelation contrast and the Moran index. On the other hand, a Probit probability econometric model was estimated. As for the results, it was observed that students with favorable economic conditions are more likely to attend non-official schools. However, during the last few years, the preference for official schools has been increasing, even in households with higher socioeconomic levels. Additionally, the existence of spatial autocorrelation between departments was validated.





Oscar Hernán Cerquera-Losada , Universidad Surcolombiana, Neiva, Colombia

Magister en Economía.

María Camila Rodriguez-Corredor, Universidad Surcolombiana, Neiva, Colombia

Economista.

Linda Mariana Riveros-Pastrana, Universidad Surcolombiana, Neiva, Colombia

Economista.

Cerquera-Losada , O. H., Rodriguez-Corredor, M. C., & Riveros-Pastrana, L. M. (2023). High School Education: What is the Probability of Attending an Official School in Colombia?. Sociedad Y Economía, (49), e10612028. https://doi.org/10.25100/sye.v0i49.12028

Araujo, M., Carneiro, P., Cruz-Aguayo, Y. y Schady, N. (2016). Teacher Quality and Learning Outcomes in Kindergarten. The Quarterly Journal of Economic, 131(3), 1415-1453. https://doi.org/10.1093/qje/qjw016

Baude, P. L., Casey, M., Hanushek, E. A., Phelan, G. R. y Rivkin, S. G. (2019). La evolución de la calidad de las escuelas autónomas. Wiley Online Library, 87(345), 158-189. https://doi.org/10.1111/ecca.12299

Bazán, A., Castellanos, D. y Fajardo, V. (2020). Variables de familia, aptitudes intelectuales y logro en lectura en estudiantes mexicanos. Electronic Journal of Research in Educational Psychology, 18(3), 375-398. https://doi.org/10.25115/ejrep.v18i52.2906

Behrman, J., Parker, S., Todd, P. y Wolpin , K. (2015). Aligning learning incentives of students and teachers: Results from a social Experiment in Mexican High Schools. Journal of Political Economy, 123(2), 325-364 . https://doi.org/10.1086/675910

Bizenjo, S. (2020). Education in Pakistan: Are low-cost private schools closing the gender gap? International Journal of Educational Development, 77, 102209. https://doi.org/10.1016/j.ijedudev.2020.102209

Calero, J. y Escandíbul, J. (2007). Evaluación de servicios educativos. El rendimiento en los centros publicos y privados medido en PISA-2003. Hacienda Publica Española, 183(4), 33-66.

Chetty, R., Friedman, J. y Rockoff, J. (2014). Measuring the Impacts of Teachers II: Teacher Value-added and Student Outcomes in Adulthood. American Economic Review, 104(9), 2633-2679. https://doi.org/10.1257/aer.104.9.2633

Coelho, C. y Dell’Aglio, D. (2018). Engajamento escolar: Efeito do suporte dos pais, professores e pares na adolescência. Psicologia Escolar e Educacional, 22(3), 621-629. https://doi.org/10.1590/2175-35392018038539

Coleman, J. S., Hobson, C. J., McPartland, J., Mood, A. M., Weinfeld, F. D. y York, R. L. (1966). Equality of Educational Opportunity. National Center for Educational Statistics. https://files.eric.ed.gov/fulltext/ED012275.pdf

Connelly, J., Philbrick, J., Smith, G., Kaiser, D. y Wymer, A. (1989). Health perceptions of primary care patients and the influence on health care utilization. Supplement to Medical Care, 27, 99-109. https://doi.org/10.1097/00005650-198903001-00009

DANE –Departamento Nacional Administrativo de Estadística–. (2020). Educación formal (EDUC) 2009, 2014 y 2019. https://www.dane.gov.co/index.php/estadisticas-por-tema/educacion/poblacion-escolarizada/educacion-formal

De Talancé, M. (2020). Educación pública y privada: ¿Se preocupan los padres por la calidad escolar? Annals of Economics and Statistics, (137), 117-144. https://doi.org/10.15609/annaeconstat2009.137.0117

Ding, W. y Lehrer, S. (2007). Do Peers Affect Student Achievement in China´s Secondary Schools? The Review of Economics and Statics, (12305), 300-302. https://doi.org/10.3386/w12305

Duflo, E., Dupas, P. y Kremer, M. (2011). Peer Effects, Teacher Incentives and the Impact of Tracking: Evidence from a Randomized Evaluation in Kenya. American Economic Review, 101(5), 1739-1774. https://doi.org/10.1257/aer.101.5.1739

Falck, O., Mang, C. y Woessmann, L. (2017). ¿Prácticamente sin efecto? Diferentes usos de las computadoras en el aula y su efecto en el rendimiento estudiantil. Wiley Online Library, 80(1), 1-38. https://doi.org/10.1111/obes.12192

Freese, J. y Long, J. (2001). Review of Regression Models for Categorical Dependent Variables Using Stata. The Stata Journal, 6(2), 273-278. https://doi.org/10.1177/1536867X0600600208

Gaviria, A. y Barrientos, J. (2001). Determinantes de la calidad de la educación en colombia. Planeación y Desarrollo, 32(3), 339-386. http://hdl.handle.net/11445/1249

Giménez, G. y Castro, G. (2017). ¿Por qué los estudiantes de colegios públicos y privados de Costa Rica obtienen distintos resultados académicos? Perfiles Latinoamericanos, 25(49), 195-222. https://doi.org/10.18504/pl2549-009-2017

Gómez, N. y Mediavilla, M. (2021). Exploring the relationship between Information and Communication Technologies (ICT) and academic performance: A multilevel analysis for Spain. Socio-Economic Planning Sciences, 77, 101009. https://doi.org/10.1016/j.seps.2021.101009

Guarín, A. y Medina, C. (2014). Jóvenes que ni Estudian ni Trabajan y Delincuencia: el caso de Medellín. Observar.

Hanushek, E. A. (1986). The Economics of Schooling: Production and Efficiency in Public Schools. Journal of Economic Literature, 24(3), 1141-1177.

Hanushek, E. A. (1989). The impact of Differencial Expenditures on School Perfomance. Educational researcher, 18, 45-62. https://doi.org/10.2307/1176650

Hanushek, E. A. (2013). Economic growth in developing countries: The role of human capital. Economics of Education Review, (37), 204-212. https://doi.org/10.1016/j.econedurev.2013.04.005

Hanushek, E. A., Piopiunik, M. y Wiederhold, S. (2019). El valor de los profesores más inteligentes. Recursos Humanos, 54(4), 857-899. https://doi.org/10.3368/jhr.54.4.0317.8619R1

Hill, A. J. y Jones, D. B. (2018). A teacher who knows me: The academic benefits of repeat student-teacher matches. Economics of Education Review, 64, 1-12. https://doi.org/10.1016/j.econedurev.2018.03.004

ICFES –Instituto Colombiano para la Evaluación de la Educación–. (2022). Resultados pruebas Saber 11, 2009, 2014, 2019. DataIcfes. https://www.icfes.gov.co/acceso-a-bases-de-datos-y-diccionarios

Isorna, M., Rial Boubeta, A., Felpeto Lamas, M. y Rodríguez Mociño, L. (2017). Evaluación del Impacto del Efecto Relativo de la Edad en el Rendimiento Escolar, Bullying, Autoestima, Diagnostico de TDAH y Consumo de Tabaco en el Paso de Educación Primaria a Secundaria. RIDEP, 44(2), 92-104. https://doi.org/10.21865/RIDEP44.2.08

Levin, J. D. (2002). Essays in the Economics of Education. University of Amsterdam. https://hdl.handle.net/11245/1.203854

Lora, E. (2019). Economía esencial de Colombia. Debate.

Madigan, D. J. y Kim, L. E. (2020). Does teacher burnout affect students? A systematic review of its association with academic achievement and student-reported outcomes. International Journal of Educational Research, 105(2), 101714. https://doi.org/10.1016/j.ijer.2020.101714

Min, S., Yuan, Z., Wang, X. y Houb, L. (2019). Do peer effects influence the academic performance of rural students at private migrant schools in China? China Economic Review, (54), 418-433. https://doi.org/10.1016/j.chieco.2019.02.004

Nuñez, J., Steiner, R., Cadena, X. y Pardo, R. (2002). ¿Cuáles colegios ofrecen mejor educación en colombia? Universidad de los Andes.

Piñeros, L. y Rodriguez, A. (1998). Los Insumos Escolares en la Educación Secundaria y su Efecto Sobre el Rendimiento Académico de los Estudiantes: Un estudio en Colombia. LAC Human & Social Development Group Paper Series. https://documents1.worldbank.org/curated/en/872971468031567258/pdf/multi-page.pdf

Sorensen, L. C., Cook, P. J. y Dodge, K. A. (2017). From Parents to Peers: Trajectories in Sources of Academic Influence Grades 4 to 8. Educational Evaluation and Policy Analysis, 39(4), 697-711. https://doi.org/10.3102/0162373717708335