IDEAS home Printed from https://ideas.repec.org/a/col/000172/014594.html
   My bibliography  Save this article

Un estudio multinivel del rendimiento escolar en matemáticas para tercer grado de educación básica primaria en América Latina

Author

Listed:
  • Zambrano Jurado Juan Carlos

Abstract

Este estudio realiza, en tres etapas, un análisis multinivel del rendimiento escolar en matemáticas, para identificar los factores familiares y escolares, y las condiciones socioe- conómicas de los estudiantes; las prácticas y métodos pedagógicos, y la inversión económica, que inciden en el alcance de los logros educativos en el área de matemáticas. Usa datos de 60.325 estudiantes de tercer grado de educación básica primaria, pertenecientes a 15 países participantes en el Segundo estudio regional comparativo y explicativo (SERCE) 2006 en América Latina. Las variables de mayor impacto en el estudio son: sexo, tipo de escuela, zona, recursos de consulta, repetición de cursos, sentido de pertenencia al centro y PIB invertido en educación. Estas variables son explicadas por las características personales de los estudiantes, y las de la institución y el país al que pertenecen.

Suggested Citation

  • Zambrano Jurado Juan Carlos, 2016. "Un estudio multinivel del rendimiento escolar en matemáticas para tercer grado de educación básica primaria en América Latina," Revista Sociedad y Economía, Universidad del Valle, CIDSE, vol. 0(30), pages 11-404, January.
    • Handle: RePEc:col:000172:014594
    as

    Download full text from publisher

    File URL: http://sociedadyeconomia.univalle.edu.co/index.php/sye/article/view/3854
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ana María Iregui & Ligia Melo B. & Jorge Ramos F., 2006. "Evaluación Y Análisis De Eficiencia De La Educación En Colombia," Borradores de Economia 2645, Banco de la Republica.
    2. Ludger Wößmann, 2003. "Schooling Resources, Educational Institutions and Student Performance: the International Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(2), pages 117-170, May.
    3. Lee, Jong-Wha & Barro, Robert J, 2001. "Schooling Quality in a Cross-Section of Countries," Economica, London School of Economics and Political Science, vol. 68(272), pages 465-488, November.
    4. Kelly Bedard & Elizabeth Dhuey, 2006. "The Persistence of Early Childhood Maturity: International Evidence of Long-Run Age Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1437-1472.
    5. Samuel Bowles & Henry M. Levin, 1968. "The Determinants of Scholastic Achievement-An Appraisal of Some Recent Evidence," Journal of Human Resources, University of Wisconsin Press, vol. 3(1), pages 3-24.
    6. Felipe Barrera Osorio & Alejandro Gaviria Uribe, 2003. "Efficiency of colombian schools," Informes de Investigación 2436, Fedesarrollo.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ludger Woessmann, 2016. "The Importance of School Systems: Evidence from International Differences in Student Achievement," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 3-32, Summer.
    2. Huebener, Mathias & Marcus, Jan, 2017. "Compressing instruction time into fewer years of schooling and the impact on student performance," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 58, pages 1-14.
    3. World Bank, 2008. "Colombia - The Quality of Education in Colombia : An Analysis and Options for a Policy Agenda," World Bank Publications - Reports 7875, The World Bank Group.
    4. Geovanny Castro Aristizabal & Marcela Diaz Rosero & Jairo Tobar Bedoya, 2016. "Causas de las diferencias en desempeño escolar entre los colegios públicos y privados: Colombia en las pruebas SABER11 2014," Working Papers 26, Faculty of Economics and Management, Pontificia Universidad Javeriana Cali.
    5. Wo[ss]mann, Ludger & West, Martin, 2006. "Class-size effects in school systems around the world: Evidence from between-grade variation in TIMSS," European Economic Review, Elsevier, vol. 50(3), pages 695-736, April.
    6. Kikuchi, Nobuyoshi, 2014. "The effect of instructional time reduction on educational attainment: Evidence from the Japanese curriculum standards revision," Journal of the Japanese and International Economies, Elsevier, vol. 32(C), pages 17-41.
    7. Masakazu Hojo, 2011. "Education Production Function and Class-Size Effects in Japanese Public Schools," Global COE Hi-Stat Discussion Paper Series gd11-194, Institute of Economic Research, Hitotsubashi University.
    8. Huebener, Mathias & Kuger, Susanne & Marcus, Jan, 2017. "Increased instruction hours and the widening gap in student performance," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 47, pages 15-34.
    9. Eric Hanushek & Ludger Woessmann, 2012. "Do better schools lead to more growth? Cognitive skills, economic outcomes, and causation," Journal of Economic Growth, Springer, vol. 17(4), pages 267-321, December.
    10. Woessmann, Ludger, 2011. "Cross-country evidence on teacher performance pay," Economics of Education Review, Elsevier, vol. 30(3), pages 404-418, June.
    11. World Bank, 2009. "Colombia - Decentralization : Options and Incentives for Efficiency - Sector Annexes," World Bank Publications - Reports 3097, The World Bank Group.
    12. Woessmann, Ludger, 2007. "Fundamental Determinants of School Efficiency and Equity: German States as a Microcosm for OECD Countries," IZA Discussion Papers 2880, Institute of Labor Economics (IZA).
    13. Angrist, Noam & Patrinos, Harry Anthony & Schlotter, Martin, 2013. "An expansion of a global data set on educational quality : a focus on achievement in developing countries," Policy Research Working Paper Series 6536, The World Bank.
    14. Asencios, Roger, 2016. "Rendimiento escolar en el Perú: Análisis secuencial de los resultados de la Evaluación Censal de Estudiantes," Working Papers 2016-005, Banco Central de Reserva del Perú.
    15. Bonilla-Mejía, Leonardo, 2014. "Doble jornada escolar y calidad de la educación en Colombia," Chapters, in: Sánchez Jabba, Andrés & Otero Cortés, Andrea (ed.), Educación y desarrollo regional en Colombia, chapter 1, pages 3-56, Banco de la Republica de Colombia.
    16. Bálint BALOGH, 2013. "How To Measure Human Capital: A Short Review," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 1, pages 21-36, July.
    17. Jörn-Steffen Pischke, 2007. "The Impact of Length of the School Year on Student Performance and Earnings: Evidence From the German Short School Years," Economic Journal, Royal Economic Society, vol. 117(523), pages 1216-1242, October.
    18. Meyer, Tobias & Thomsen, Stephan L., 2012. "How Important is Secondary School Duration for Post-school Education Decisions? Evidence from a Natural Experiment," Hannover Economic Papers (HEP) dp-509, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    19. Barra, Cristian & Boccia, Marinella, 2019. "“The determinants of students' achievement: a difference between OECD and not OECD countries”," MPRA Paper 92561, University Library of Munich, Germany.
    20. Fitzpatrick, Maria D. & Grissmer, David & Hastedt, Sarah, 2011. "What a difference a day makes: Estimating daily learning gains during kindergarten and first grade using a natural experiment," Economics of Education Review, Elsevier, vol. 30(2), pages 269-279, April.

    More about this item

    Keywords

    Calidad de la educación; entorno familiar; efecto escuela; efecto país; análisis multinivel.;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:col:000172:014594. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CENDOC (email available below). General contact details of provider: https://edirc.repec.org/data/cicevco.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.