IDEAS home Printed from https://ideas.repec.org/a/fgv/epgrbe/v75y2021i1a79588.html
   My bibliography  Save this article

Impacts of Grade Configuration on Brazilian Student Outcomes

Author

Listed:
  • Wink Junior, Marcos Vinicio Vinicio
  • Paese, Luis
  • Griebeler, Marcelo

Abstract

In this paper we evaluate the impact of grade span configuration on studentoutcomes. We build a model which shows that the more homogeneous the cohort ofstudents the higher the share of them which achieves the minimum level of academicperformance required in an exam. We then test this theoretical finding by comparingperformances of 5th-grade students of elementary schools (1st to 5th grade) and thoseof elementary-middle schools (1st to 9th grade) in Brazil. PSM and PSM with Diffin-Diff methodologies are used to control possible biases. We find that elementaryschools present better results in Portuguese language and mathematics standardizedscore tests, higher passing rates and lower dropout rates than elementary-middleschools, which corroborates the theoretical results. The robustness of estimatesis checked through several tests and alternative specifications. Finally, we foundevidence that the main mechanisms behind our results are related to alternativepedagogical practices and school management policies.

Suggested Citation

  • Wink Junior, Marcos Vinicio Vinicio & Paese, Luis & Griebeler, Marcelo, 2021. "Impacts of Grade Configuration on Brazilian Student Outcomes," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 75(1), July.
    • Handle: RePEc:fgv:epgrbe:v:75:y:2021:i:1:a:79588
    as

    Download full text from publisher

    File URL: https://periodicos.fgv.br/rbe/article/view/79588
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ryan Bosworth, 2014. "Class size, class composition, and the distribution of student achievement," Education Economics, Taylor & Francis Journals, vol. 22(2), pages 141-165, April.
    2. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    3. Rockoff, Jonah E. & Lockwood, Benjamin B., 2010. "Stuck in the middle: Impacts of grade configuration in public schools," Journal of Public Economics, Elsevier, vol. 94(11-12), pages 1051-1061, December.
    4. Ryan Bosworth, 2014. "Class size, class composition, and the distribution of student achievement," Education Economics, Taylor & Francis Journals, vol. 22(2), pages 141-165, April.
    5. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    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. Maya M. Papineau, 2015. "Setting the Standard: Commercial Electricity Consumption Responses to Energy Codes," Carleton Economic Papers 15-05, Carleton University, Department of Economics.
    2. Ramírez-Álvarez, Aurora Alejandra, 2019. "Land titling and its effect on the allocation of public goods: Evidence from Mexico," World Development, Elsevier, vol. 124(C), pages 1-1.
    3. Fatema, Naureen, 2019. "Can land title reduce low-intensity interhousehold conflict incidences and associated damages in eastern DRC?," World Development, Elsevier, vol. 123(C), pages 1-1.
    4. Cadot, Olivier & Fernandes, Ana M. & Gourdon, Julien & Mattoo, Aaditya, 2015. "Are the benefits of export support durable? Evidence from Tunisia," Journal of International Economics, Elsevier, vol. 97(2), pages 310-324.
    5. Szulc, Adam, 2009. "A matching estimator of household equivalence scales," Economics Letters, Elsevier, vol. 103(2), pages 81-83, May.
    6. Gabriela Simonet & Julie Subervie & Driss Ezzine-De-Blas & Marina Cromberg & Amy Duchelle, 2015. "Paying smallholders not to cut down the amazon forest: impact evaluation of a REDD+ pilot project," Working Papers 1514, Chaire Economie du climat.
    7. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand," NBER Technical Working Papers 0330, National Bureau of Economic Research, Inc.
    8. David McKenzie & Steven Stillman & John Gibson, 2010. "How Important is Selection? Experimental VS. Non‐Experimental Measures of the Income Gains from Migration," Journal of the European Economic Association, European Economic Association, vol. 8(4), pages 913-945, June.
    9. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
    10. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    11. Berhane, Guush & Hoddinott, John F. & Kumar, Neha, 2017. "The impact of Ethiopia’s Productive Safety Net Programme on the nutritional status of children: 2008–2012," IFPRI discussion papers 1604, International Food Policy Research Institute (IFPRI).
    12. Mano, Yukichi & Akoten, John & Yoshino, Yutaka & Sonobe, Tetsushi, 2014. "Teaching KAIZEN to small business owners: An experiment in a metalworking cluster in Nairobi," Journal of the Japanese and International Economies, Elsevier, vol. 33(C), pages 25-42.
    13. Sun, Yucheng & Zhou, Xianbo, 2022. "The effect of teacher's concurrent administrative position on students' academic outcomes: Evidence and mechanisms," China Economic Review, Elsevier, vol. 71(C).
    14. McKenzie, David & Gibson, John & Stillman, Steven, 2006. "How important is selection ? Experimental versus non-experimental measures of the income gains from migration," Policy Research Working Paper Series 3906, The World Bank.
    15. Michele Campolieti & Morley Gunderson & Jeffrey Smith, 2014. "The effect of vocational rehabilitation on the employment outcomes of disability insurance beneficiaries: new evidence from Canada," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-29, December.
    16. Marie Connolly & Catherine Haeck, 2018. "Le lien entre la taille des classes et les compétences cognitives et non cognitives," CIRANO Project Reports 2018rp-18, CIRANO.
    17. Carlos A. Flores & Oscar A. Mitnik, 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," Working Papers 2010-10, University of Miami, Department of Economics.
    18. Laure Kuhfuss & Julie Subervie, 2015. "Do agri-environmental schemes help reduce herbicide use? Evidence from a natural experiment in France," Post-Print hal-01199067, HAL.
    19. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    20. Yihui He & Fang Han, 2023. "On propensity score matching with a diverging number of matches," Papers 2310.14142, arXiv.org, revised Nov 2023.

    More about this item

    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:fgv:epgrbe:v:75:y:2021:i:1:a:79588. 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: Núcleo de Computação da FGV EPGE (email available below). General contact details of provider: https://edirc.repec.org/data/epgvfbr.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.