IDEAS home Printed from https://ideas.repec.org/p/rbp/wpaper/2016-005.html
   My bibliography  Save this paper

Rendimiento escolar en el Perú: Análisis secuencial de los resultados de la Evaluación Censal de Estudiantes

Author

Listed:
  • Asencios, Roger

    (Banco Central de Reserva del Perú)

Abstract

Este trabajo busca medir el efecto de variables de oferta y demanda sobre el rendimiento en la Evaluación Censal de Estudiantes (ECE). Con este fin, se utiliza por primera vez una base de datos que incluye tanto las condiciones socioeconómicas en las que vive el estudiante, como también información sobre el colegio el que estudia. Se ha estimado un modelo de producción de logros educativos y un modelo secuencial para explicar el paso entre los niveles de la ECE. Este último modelo permite distinguir el efecto heterogéneo que tienen ciertas variables. Se encuentra que algunos insumos son importantes para explicar el rendimiento en el examen de matemática, pero no lo son en la misma medida, para explicar el rendimiento en comprensión lectora. Aún más, algunas variables pueden ser importantes para obtener un nivel básico en la Evaluación Censal de Estudiantes, pero no son significativas para explicar la probabilidad de alcanzar el nivel más alto en la ECE. Por ejemplo, para el examen de matemática la educación de la madre tiene un efecto significativo y positivo sobre la probabilidad de pasar al segundo nivel en la ECE, en proceso. No obstante, no es significativo, e incluso presenta un signo negativo para explicar el paso al nivel más alto, satisfactorio.

Suggested Citation

  • 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.
    • Handle: RePEc:rbp:wpaper:2016-005
    as

    Download full text from publisher

    File URL: https://www.bcrp.gob.pe/docs/Publicaciones/Documentos-de-Trabajo/2016/documento-de-trabajo-05-2016.pdf
    File Function: Application/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sarmistha Pal, 2004. "Child schooling in Peru: Evidence from a sequential analysis of school progression," Journal of Population Economics, Springer;European Society for Population Economics, vol. 17(4), pages 657-680, December.
    2. Stephen V. Cameron & James J. Heckman, 1998. "Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts of American Males," Journal of Political Economy, University of Chicago Press, vol. 106(2), pages 262-333, April.
    3. Eliana Garces & Duncan Thomas & Janet Currie, 2002. "Longer-Term Effects of Head Start," American Economic Review, American Economic Association, vol. 92(4), pages 999-1012, September.
    4. Alan B. Krueger & Diane M. Whitmore, 2001. "Would Smaller Classes Help Close the Black-White Achievement Gap?," Working Papers 830, Princeton University, Department of Economics, Industrial Relations Section..
    5. repec:bla:econom:v:68:y:2001:i:272:p:465-88 is not listed on IDEAS
    6. Caroline M. Hoxby, 2000. "The Effects of Class Size on Student Achievement: New Evidence from Population Variation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(4), pages 1239-1285.
    7. repec:fth:prinin:451 is not listed on IDEAS
    8. Janet Currie & Duncan Thomas, 2000. "School Quality and the Longer-Term Effects of Head Start," Journal of Human Resources, University of Wisconsin Press, vol. 35(4), pages 755-774.
    9. Berlinski, Samuel & Galiani, Sebastian & Gertler, Paul, 2009. "The effect of pre-primary education on primary school performance," Journal of Public Economics, Elsevier, vol. 93(1-2), pages 219-234, February.
    10. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    11. Jonah E. Rockoff, 2004. "The Impact of Individual Teachers on Student Achievement: Evidence from Panel Data," American Economic Review, American Economic Association, vol. 94(2), pages 247-252, May.
    12. Douglas O. Staiger & Jonah E. Rockoff, 2010. "Searching for Effective Teachers with Imperfect Information," Journal of Economic Perspectives, American Economic Association, vol. 24(3), pages 97-118, Summer.
    13. Stephen V. Cameron & James J. Heckman, 1998. "Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts," NBER Working Papers 6385, National Bureau of Economic Research, Inc.
    14. Eric A. Hanushek, 2003. "The Failure of Input-Based Schooling Policies," Economic Journal, Royal Economic Society, vol. 113(485), pages 64-98, February.
    15. 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.
    16. Karthik Muralidharan & Venkatesh Sundararaman, 2011. "Teacher Performance Pay: Experimental Evidence from India," Journal of Political Economy, University of Chicago Press, vol. 119(1), pages 39-77.
    17. Jonah Rockoff, 2003. "The Impact of Individual Teachers on Student Achievement: Evidence from Panel Data," Public Economics 0304002, University Library of Munich, Germany.
    18. Alan Krueger & Diane Whitmore, 2001. "Would Smaller Classes Help Close the Black-White Achievement Gap?," Working Papers 830, Princeton University, Department of Economics, Industrial Relations Section..
    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. Akabayashi, Hideo & Ruberg, Tim & Shikishima, Chizuru & Yamashita, Jun, 2023. "Education-oriented and care-oriented preschools: Implications on child development," Labour Economics, Elsevier, vol. 84(C).
    2. Martin Schlotter & Guido Schwerdt & Ludger Woessmann, 2011. "Econometric methods for causal evaluation of education policies and practices: a non-technical guide," Education Economics, Taylor & Francis Journals, vol. 19(2), pages 109-137.
    3. Pierre Lefebvre & Philip Merrigan & Matthieu Verstraete, 2008. "The Effects of School Quality and Family Functioning on Youth Math Scores: a Canadian Longitudinal Analysis," Cahiers de recherche 0822, CIRPEE.
    4. Nirav Mehta, 2019. "Measuring quality for use in incentive schemes: The case of “shrinkage” estimators," Quantitative Economics, Econometric Society, vol. 10(4), pages 1537-1577, November.
    5. Roland G. Fryer, Jr, 2010. "Racial Inequality in the 21st Century: The Declining Significance of Discrimination," NBER Working Papers 16256, National Bureau of Economic Research, Inc.
    6. James Heckman & Flavio Cunha, 2007. "The Technology of Skill Formation," American Economic Review, American Economic Association, vol. 97(2), pages 31-47, May.
    7. Nirav Mehta, 2019. "Measuring quality for use in incentive schemes: The case of “shrinkage” estimators," Quantitative Economics, Econometric Society, vol. 10(4), pages 1537-1577, November.
    8. Azam, Mehtabul & Kingdon, Geeta Gandhi, 2015. "Assessing teacher quality in India," Journal of Development Economics, Elsevier, vol. 117(C), pages 74-83.
    9. Francis Kramarz & Stephen Machin & Amine Ouazad, 2008. "What Makes a Test Score ? The Respective Contributions of Pupils, Schools and Peers in Achievement in English Primary Education," Working Papers 2008-21, Center for Research in Economics and Statistics.
    10. Cunha, Flavio & Heckman, James J. & Lochner, Lance, 2006. "Interpreting the Evidence on Life Cycle Skill Formation," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 12, pages 697-812, Elsevier.
    11. Hanushek, Eric A., 2011. "The economic value of higher teacher quality," Economics of Education Review, Elsevier, vol. 30(3), pages 466-479, June.
    12. Johnston, Andrew C., 2021. "Preferences, Selection, and the Structure of Teacher Pay," IZA Discussion Papers 14831, Institute of Labor Economics (IZA).
    13. Samuel Berlinski & Norbert Schady, 2015. "Daycare Services: It’s All about Quality," Palgrave Macmillan Books, in: Samuel Berlinski & Norbert Schady (ed.), The Early Years, chapter 4, pages 91-119, Palgrave Macmillan.
    14. M. Caridad Araujo & Yyannu Cruz-Aguayo & Analia Jaimovich & Sharon Lynn Kagan, 2015. "Drawing Up an Institutional Architecture," IDB Publications (Book Chapters), in: Samuel Berlinski & Norbert Schady (ed.), The Early Years: Child Well-Being and the Role of Public Policy, edition 1, chapter 7, pages 179-202, Inter-American Development Bank.
    15. Elizabeth M. Caucutt & Lance Lochner & Youngmin Park, 2017. "Correlation, Consumption, Confusion, or Constraints: Why Do Poor Children Perform so Poorly?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 119(1), pages 102-147, January.
    16. Koedel Cory & Leatherman Rebecca & Parsons Eric, 2012. "Test Measurement Error and Inference from Value-Added Models," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-37, November.
    17. Bratti, Massimiliano & Mendola, Mariapia, 2014. "Parental health and child schooling," Journal of Health Economics, Elsevier, vol. 35(C), pages 94-108.
    18. Michael Bates & Michael Dinerstein & Andrew C. Johnston & Isaac Sorkin, 2022. "Teacher Labor Market Equilibrium and Student Achievement," CESifo Working Paper Series 9551, CESifo.
    19. Goel, Deepti & Barooah, Bidisha, 2018. "Drivers of Student Performance: Evidence from Higher Secondary Public Schools in Delhi," GLO Discussion Paper Series 231, Global Labor Organization (GLO).
    20. Leuven, Edwin & Lindahl, Mikael & Oosterbeek, Hessel & Webbink, Dinand, 2010. "Expanding schooling opportunities for 4-year-olds," Economics of Education Review, Elsevier, vol. 29(3), pages 319-328, June.

    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:rbp:wpaper:2016-005. 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: Research Unit (email available below). General contact details of provider: https://edirc.repec.org/data/bcrgvpe.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.