IDEAS home Printed from https://ideas.repec.org/p/fgv/eesptd/236.html
   My bibliography  Save this paper

The relationship between school violence and student proficiency

Author

Listed:
  • Severnini, Edson
  • Firpo, Sergio Pinheiro

Abstract

School violence has recently become a central concern among teachers, students, students' parents and policymakers. Violence can induce behaviors on educational agents that go against the goals of improving the quality of education and increasing school attendance. In fact, there is evidence that school environmental characteristics and student performance and behavior at school are related. Although school violence may have a direct impact on students’ performance, such impact has not yet been quantified. In this paper, we investigate this issue using Brazilian data and show that, on average, students who attended more violent schools had worse proficiency on a centralized test carried out by the Brazilian Ministry of Education, even when we controlled for school, class, teachers and student characteristics. We also show that school violence affects more the students from the bottom of the proficiency distribution. Furthermore, we find out that besides the direct effect on student proficiency, it seems that school violence has an indirect effect on it operating through teacher turnover. Indeed, we show that the occurrence of violent episodes in a school decreases the probability of a class in that school having only one teacher during the academic year, and increases the probability of that class having more than one teacher (teacher turnover).

Suggested Citation

  • Severnini, Edson & Firpo, Sergio Pinheiro, 2010. "The relationship between school violence and student proficiency," Textos para discussão 236, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
  • Handle: RePEc:fgv:eesptd:236
    as

    Download full text from publisher

    File URL: https://repositorio.fgv.br/bitstreams/885c2e88-f53f-4ed6-a1a3-895f73c1659c/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Card, David & Rothstein, Jesse, 2007. "Racial segregation and the black-white test score gap," Journal of Public Economics, Elsevier, vol. 91(11-12), pages 2158-2184, December.
    2. 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.
    3. Ronald G. Ehrenberg & Daniel D. Goldhaber & Dominic J. Brewer, 1995. "Do Teachers' Race, Gender, and Ethnicity Matter? Evidence from the National Educational Longitudinal Study of 1988," ILR Review, Cornell University, ILR School, vol. 48(3), pages 547-561, April.
    4. Alan B. Krueger, 2003. "Economic Considerations and Class Size," Economic Journal, Royal Economic Society, vol. 113(485), pages 34-63, February.
    5. Jeffrey Grogger, 1997. "Local Violence and Educational Attainment," Journal of Human Resources, University of Wisconsin Press, vol. 32(4), pages 659-682.
    6. Thomas S. Dee, 2004. "Teachers, Race, and Student Achievement in a Randomized Experiment," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 195-210, February.
    7. David N. Figlio, 2007. "Boys Named Sue: Disruptive Children and Their Peers," Education Finance and Policy, MIT Press, vol. 2(4), pages 376-394, September.
    8. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 533-575.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ammermueller, Andreas, 2012. "Violence in European schools: A widespread phenomenon that matters for educational production," Labour Economics, Elsevier, vol. 19(6), pages 908-922.

    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. Matthew M. Chingos & Kenneth A. Couch, 2013. "Class Size and Student Outcomes: Research and Policy Implications," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 32(2), pages 411-438, March.
    2. 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.
    3. Ma, Lingjie & Koenker, Roger, 2006. "Quantile regression methods for recursive structural equation models," Journal of Econometrics, Elsevier, vol. 134(2), pages 471-506, October.
    4. Ludger Wößmann, 2005. "Educational Production in East Asia: The Impact of Family Background and Schooling Policies on Student Performance," German Economic Review, Verein für Socialpolitik, vol. 6(3), pages 331-353, August.
    5. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2020. "Peer Effects in Networks: A Survey," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 603-629, August.
    6. Cohen-Zada, Danny & Gradstein, Mark & Reuven, Ehud, 2013. "Allocation of students in public schools: Theory and new evidence," Economics of Education Review, Elsevier, vol. 34(C), pages 96-106.
    7. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    8. repec:clu:wpaper:0607-14 is not listed on IDEAS
    9. Vegas, E & Ganimian, A. J., 2013. "Theory and Evidence on Teacher Policies in Developed and Developing Countries," Working Paper 104291, Harvard University OpenScholar.
    10. 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.
    11. Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 3-30, Spring.
    12. Maria De Paola & Michela Ponzo & Vincenzo Scoppa, 2013. "Class size effects on student achievement: heterogeneity across abilities and fields," Education Economics, Taylor & Francis Journals, vol. 21(2), pages 135-153, March.
    13. Hægeland, Torbjørn & Raaum, Oddbjørn & Salvanes, Kjell G., 2012. "Pennies from heaven? Using exogenous tax variation to identify effects of school resources on pupil achievement," Economics of Education Review, Elsevier, vol. 31(5), pages 601-614.
    14. Vincent Boucher & Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2014. "Do Peers Affect Student Achievement? Evidence From Canada Using Group Size Variation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 91-109, January.
    15. Ludger Wößmann, 2003. "European education production functions: what makes a difference for student achievement in Europe?," European Economy - Economic Papers 2008 - 2015 190, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    16. West, Martin R. & Woessmann, Ludger, 2006. "Which school systems sort weaker students into smaller classes? International evidence," European Journal of Political Economy, Elsevier, vol. 22(4), pages 944-968, December.
    17. Argaw, Bethlehem A. & Puhani, Patrick A., 2018. "Does class size matter for school tracking outcomes after elementary school? Quasi-experimental evidence using administrative panel data from Germany," Economics of Education Review, Elsevier, vol. 65(C), pages 48-57.
    18. Robert W. Fairlie & Florian Hoffmann & Philip Oreopoulos, 2014. "A Community College Instructor Like Me: Race and Ethnicity Interactions in the Classroom," American Economic Review, American Economic Association, vol. 104(8), pages 2567-2591, August.
    19. Niklas Jakobsson & Mattias Persson & Mikael Svensson, 2013. "Class-size effects on adolescents' mental health and well-being in Swedish schools," Education Economics, Taylor & Francis Journals, vol. 21(3), pages 248-263, July.
    20. Fiona Steele & Anna Vignoles & Andrew Jenkins, 2007. "The effect of school resources on pupil attainment: a multilevel simultaneous equation modelling approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 801-824, July.
    21. Babcock, Philip & Bedard, Kelly & Schulte, Jennifer, 2012. "No cohort left behind?," Journal of Urban Economics, Elsevier, vol. 71(3), pages 347-354.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:eesptd:236. 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/eegvfbr.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.