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The direct and spillover effects of a mental health program for disruptive students

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Listed:
  • Chaisemartin, Clement de

    (UC Santa Barbara)

  • Navarrete, Nicolas

    (Paris School of Economics)

Abstract

A large literature finds that cognitive behavioral therapy programs for disruptive students can reduce their disruptiveness and improve their academic outcomes. However, the literature has mostly considered demonstration programs implemented with significant researcher involvement, and has not studied the spillover effects on ineligible students. In this paper, we use a randomized controlled trial to estimate the direct and spillover effects of one such program, implemented as a nationwide policy in Chile. The program has no effect on eligible students’ disruptiveness and academic outcomes. It increases the disruptiveness of ineligible students. Finally, it increases the segregation between eligible and ineligible students

Suggested Citation

  • Chaisemartin, Clement de & Navarrete, Nicolas, 2019. "The direct and spillover effects of a mental health program for disruptive students," CAGE Online Working Paper Series 401, Competitive Advantage in the Global Economy (CAGE).
    • Handle: RePEc:cge:wacage:401
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    References listed on IDEAS

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    1. Anderson, Michael L., 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1481-1495.
    2. Abhijit Banerjee & Rukmini Banerji & James Berry & Esther Duflo & Harini Kannan & Shobhini Mukherji & Marc Shotland & Michael Walton, 2016. "Mainstreaming an Effective Intervention: Evidence from Randomized Evaluations of “Teaching at the Right Level” in India," NBER Working Papers 22746, National Bureau of Economic Research, Inc.
    3. Benjamin Golub & Matthew O. Jackson, 2012. "How Homophily Affects the Speed of Learning and Best-Response Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1287-1338.
    4. Victor Chernozhukov & Mert Demirer & Esther Duflo & Iv'an Fern'andez-Val, 2017. "Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India," Papers 1712.04802, arXiv.org, revised Oct 2023.
    5. 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.
    6. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "High-Dimensional Methods and Inference on Structural and Treatment Effects," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 29-50, Spring.
    7. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
    8. Scott E. Carrell & Mark L. Hoekstra, 2010. "Externalities in the Classroom: How Children Exposed to Domestic Violence Affect Everyone's Kids," American Economic Journal: Applied Economics, American Economic Association, vol. 2(1), pages 211-228, January.
    9. Anna Aizer, 2008. "Peer Effects and Human Capital Accumulation: the Externalities of ADD," NBER Working Papers 14354, National Bureau of Economic Research, Inc.
    10. Jonathan M.V. Davis & Jonathan Guryan & Kelly Hallberg & Jens Ludwig, 2017. "The Economics of Scale-Up," NBER Working Papers 23925, National Bureau of Economic Research, Inc.
    11. 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.
    12. Duflo, Esther & Banerjee, Abhijit & Banerji, Rukmini & Berry, James & Mukerji, Shobhini & Shotland, Marc & Walton, Michael & Kannan, Harini, 2016. "Mainstreaming an Effective Intervention: Evidence from Randomized Evaluations of “Teaching at the Right Level†in India," CEPR Discussion Papers 11530, C.E.P.R. Discussion Papers.
    13. Victor Chernozhukov & Mert Demirer & Esther Duflo & Iván Fernández-Val, 2018. "Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, with an Application to Immunization in India," NBER Working Papers 24678, National Bureau of Economic Research, Inc.
    14. Karthik Muralidharan & Paul Niehaus, 2017. "Experimentation at Scale," Journal of Economic Perspectives, American Economic Association, vol. 31(4), pages 103-124, Fall.
    15. Carrell, Scott E. & Hoekstra, Mark, 2014. "Are school counselors an effective education input?," Economics Letters, Elsevier, vol. 125(1), pages 66-69.
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