IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/14246.html
   My bibliography  Save this paper

Externalities in the Classroom: How Children Exposed to Domestic Violence Affect Everyone's Kids

Author

Listed:
  • Scott E. Carrell
  • Mark L. Hoekstra

Abstract

It is estimated that between ten and twenty percent of children in the United States are exposed to domestic violence annually. While much is known about the impact of domestic violence and other family problems on children within the home, little is known regarding the extent to which these problems spill over to children outside the family. The widespread perception among parents and school officials is that these externalities are significant, though measuring them is difficult due to data and methodological limitations. We estimate the negative spillovers caused by children from troubled families by exploiting a unique data set in which children's school records are matched to domestic violence cases filed by their parent. To overcome selection bias, we identify the effects using the idiosyncratic variation in peers from troubled families within the same school and grade over time. We find that children from troubled families significantly decrease their peers' reading and math test scores and significantly increase misbehavior of others in the classroom. The effects are heterogeneous across income, race, and gender and appear to work primarily through troubled boys. The results are robust to within-sibling differences and we find no evidence that non-random selection is driving the results.

Suggested Citation

  • Scott E. Carrell & Mark L. Hoekstra, 2008. "Externalities in the Classroom: How Children Exposed to Domestic Violence Affect Everyone's Kids," NBER Working Papers 14246, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:14246
    Note: CH ED LS
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w14246.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mary A. Burke & Tim R. Sass, 2013. "Classroom Peer Effects and Student Achievement," Journal of Labor Economics, University of Chicago Press, vol. 31(1), pages 51-82.
    2. Scott E. Carrell & Frederick V. Malmstrom & James E. West, 2008. "Peer Effects in Academic Cheating," Journal of Human Resources, University of Wisconsin Press, vol. 43(1).
    3. Joshua D. Angrist & Kevin Lang, 2004. "Does School Integration Generate Peer Effects? Evidence from Boston's Metco Program," American Economic Review, American Economic Association, vol. 94(5), pages 1613-1634, December.
    4. Carrell Scott E & Carrell Susan A, 2006. "Do Lower Student to Counselor Ratios Reduce School Disciplinary Problems?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(1), pages 1-26, April.
    5. Boozer, Michael A. & Cacciola, Stephen E., 2001. "Inside the 'Black Box' of Project Star: Estimation of Peer Effects Using Experimental Data," Center Discussion Papers 28524, Yale University, Economic Growth Center.
    6. Scott E. Carrell & Richard L. Fullerton & James E. West, 2009. "Does Your Cohort Matter? Measuring Peer Effects in College Achievement," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 439-464, July.
    7. Michael A. Boozer & Stephen E. Cacciola, 2001. "Inside the 'Black Box' of Project STAR: Estimation of Peer Effects Using Experimental Data," Working Papers 832, Economic Growth Center, Yale University.
    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. de Gendre, Alexandra & Salamanca, Nicolás, 2020. "On the Mechanisms of Ability Peer Effects," IZA Discussion Papers 13938, Institute of Labor Economics (IZA).
    2. 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.
    3. Berlinski, Samuel & Busso, Matias & Giannola, Michele, 2023. "Helping struggling students and benefiting all: Peer effects in primary education," Journal of Public Economics, Elsevier, vol. 224(C).
    4. Mark L. Hoekstra & Scott Carrell, 2008. "Externalities in the Classroom: How Children Exposed to Domestic Violence Affect Everyone," Working Paper 343, Department of Economics, University of Pittsburgh, revised Sep 2008.
    5. Steve Cicala & Roland G. Fryer, Jr. & Jörg L. Spenkuch, 2011. "A Roy Model of Social Interactions," NBER Working Papers 16880, National Bureau of Economic Research, Inc.
    6. Vardardottir, Arna, 2013. "Peer effects and academic achievement: a regression discontinuity approach," Economics of Education Review, Elsevier, vol. 36(C), pages 108-121.
    7. Mary A. Burke & Tim R. Sass, 2013. "Classroom Peer Effects and Student Achievement," Journal of Labor Economics, University of Chicago Press, vol. 31(1), pages 51-82.
    8. Kiss, David, 2013. "The impact of peer achievement and peer heterogeneity on own achievement growth: Evidence from school transitions," Economics of Education Review, Elsevier, vol. 37(C), pages 58-65.
    9. Stephen Gibbons & Shqiponja Telhaj, 2016. "Peer Effects: Evidence from Secondary School Transition in England," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(4), pages 548-575, August.
    10. Victor Lavy & M. Daniele Paserman & Analia Schlosser, 2012. "Inside the Black Box of Ability Peer Effects: Evidence from Variation in the Proportion of Low Achievers in the Classroom," Economic Journal, Royal Economic Society, vol. 122(559), pages 208-237, March.
    11. Andrés Barrios-Fernández, 2022. "Neighbors' Effects on University Enrollment," American Economic Journal: Applied Economics, American Economic Association, vol. 14(3), pages 30-60, July.
    12. Eric D. Gould & Victor Lavy & M. Daniele Paserman, 2009. "Does Immigration Affect the Long‐Term Educational Outcomes of Natives? Quasi‐Experimental Evidence," Economic Journal, Royal Economic Society, vol. 119(540), pages 1243-1269, October.
    13. Scott E. Carrell & Richard L. Fullerton & James E. West, 2009. "Does Your Cohort Matter? Measuring Peer Effects in College Achievement," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 439-464, July.
    14. Angrist, Joshua D., 2014. "The perils of peer effects," Labour Economics, Elsevier, vol. 30(C), pages 98-108.
    15. Scott A. Imberman & Adriana D. Kugler & Bruce I. Sacerdote, 2012. "Katrina's Children: Evidence on the Structure of Peer Effects from Hurricane Evacuees," American Economic Review, American Economic Association, vol. 102(5), pages 2048-2082, August.
    16. Angela Granger-Serrano & Alexander Villarraga-Orjuela, 2021. "Peer Effects on First-Year University Students’ Results: The Role of Classmates’ Academic Performance and Socioeconomic Status," Mathematics, MDPI, vol. 9(23), pages 1-26, December.
    17. Ahn, Tom & Trogdon, Justin G., 2017. "Peer delinquency and student achievement in middle school," Labour Economics, Elsevier, vol. 44(C), pages 192-217.
    18. Silvia Mendolia & Alfredo R Paloyo & Ian Walker, 2018. "Heterogeneous effects of high school peers on educational outcomes," Oxford Economic Papers, Oxford University Press, vol. 70(3), pages 613-634.
    19. Meschi, Elena & Pavese, Caterina, 2023. "Ability composition in the class and the school performance of immigrant students," Labour Economics, Elsevier, vol. 85(C).
    20. Simone Balestra & Aurélien Sallin & Stefan C. Wolter, 2023. "High-Ability Influencers? The Heterogeneous Effects of Gifted Classmates," Journal of Human Resources, University of Wisconsin Press, vol. 58(2), pages 633-665.

    More about this item

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:nbr:nberwo:14246. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.