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Targeting Noncognitive Skills to Improve Cognitive Outcomes: Evidence from a Remedial Education Intervention

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  • Helena Holmlund
  • Olmo Silva

Abstract

We study an education intervention targeting underachieving pupils' noncognitive skills with the aim of improving attendance and cognitive outcomes. We evaluate the policy effect on test scores in national exams at age 16 exploiting repeated observations to control for unobservables. We find little evidence of improved cognitive outcomes. We further examine the policy impact on students' absences. Lacking repeated observations on this outcome, we simulate the effect of unobservables on attendance. While the intervention had beneficial effects on school presence, these did not translate to improved cognitive outcomes. Conversely, the policy generated positive spillover effects on nontreated students' test scores.

Suggested Citation

  • Helena Holmlund & Olmo Silva, 2014. "Targeting Noncognitive Skills to Improve Cognitive Outcomes: Evidence from a Remedial Education Intervention," Journal of Human Capital, University of Chicago Press, vol. 8(2), pages 126-160.
  • Handle: RePEc:ucp:jhucap:doi:10.1086/676460
    DOI: 10.1086/676460
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    1. Stephen Gibbons & Olmo Silva, 2011. "Faith Primary Schools: Better Schools or Better Pupils?," Journal of Labor Economics, University of Chicago Press, vol. 29(3), pages 589-635.
    2. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    3. Abhijit V. Banerjee & Shawn Cole & Esther Duflo & Leigh Linden, 2007. "Remedying Education: Evidence from Two Randomized Experiments in India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1235-1264.
    4. Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February.
    5. Brian A. Jacob & Lars Lefgren, 2004. "Remedial Education and Student Achievement: A Regression-Discontinuity Analysis," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 226-244, February.
    6. James Heckman, 2011. "Policies to foster human capital," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 73-137.
    7. Tahir Andrabi & Jishnu Das & Asim Ijaz Khwaja & Tristan Zajonc, 2011. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 29-54, July.
    8. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    9. James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
    10. Charles Michalopoulos & Howard S. Bloom & Carolyn J. Hill, 2004. "Can Propensity-Score Methods Match the Findings from a Random Assignment Evaluation of Mandatory Welfare-to-Work Programs?," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 156-179, February.
    11. Dehejia, Rajeev, 2005. "Practical propensity score matching: a reply to Smith and Todd," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 355-364.
    12. Elda Pema & Stephen Mehay, 2009. "The Effect of High School JROTC on Student Achievement, Educational Attainment, and Enlistment," Southern Economic Journal, John Wiley & Sons, vol. 76(2), pages 533-552, October.
    13. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
    14. James J. Heckman & Paul A. LaFontaine, 2010. "The American High School Graduation Rate: Trends and Levels," The Review of Economics and Statistics, MIT Press, vol. 92(2), pages 244-262, May.
    15. Bas ter Weel, 2008. "The Noncognitive Determinants of Labor Market and Behavioral Outcomes: Introduction to the Symposium," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    16. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    17. Alberto Abadie, 2005. "Semiparametric Difference-in-Differences Estimators," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 1-19.
    18. Knudsen, Eric I. & Heckman, James J. & Cameron, Judy L. & Shonkoff, Jack P., 2006. "Economic, Neurobiological and Behavioral Perspectives on Building America's Future Workforce," IZA Discussion Papers 2190, Institute of Labor Economics (IZA).
    19. Victor Lavy & Olmo Silva & Felix Weinhardt, 2009. "The Good, the Bad and the Average: Evidence on the Scale and Nature of Ability Peer Effects in Schools," NBER Working Papers 15600, National Bureau of Economic Research, Inc.
    20. Eric Knudsen & James J. Heckman & Judy Cameron & Jack P. Shonkoff, 2006. "Economic, Neurobiological and Behavioral Perspectives on Building America’s Future Workforce," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 7(3), pages 17-41, July.
    21. Pedro Carneiro & Claire Crawford & Alissa Goodman, 2007. "The Impact of Early Cognitive and Non-Cognitive Skills on Later Outcomes," CEE Discussion Papers 0092, Centre for the Economics of Education, LSE.
    22. Helena Holmlund & Olmo Silva, 2014. "Targeting Noncognitive Skills to Improve Cognitive Outcomes: Evidence from a Remedial Education Intervention," Journal of Human Capital, University of Chicago Press, vol. 8(2), pages 126-160.
    23. Stephen Machin & Sandra McNally & Costas Meghir, 2010. "Resources and Standards in Urban Schools," Journal of Human Capital, University of Chicago Press, vol. 4(4), pages 365-393.
    24. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.
    25. Victor Lavy & Analia Schlosser, 2005. "Targeted Remedial Education for Underperforming Teenagers: Costs and Benefits," Journal of Labor Economics, University of Chicago Press, vol. 23(4), pages 839-874, October.
    26. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
    27. 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.
    28. Flavio Cunha & James J. Heckman, 2008. "Formulating, Identifying and Estimating the Technology of Cognitive and Noncognitive Skill Formation," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    29. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    30. Carmit Segal, 2008. "Classroom Behavior," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    31. Erik Lindqvist & Roine Vestman, 2011. "The Labor Market Returns to Cognitive and Noncognitive Ability: Evidence from the Swedish Enlistment," American Economic Journal: Applied Economics, American Economic Association, vol. 3(1), pages 101-128, January.
    32. 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.
    33. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    34. Victor Lavy & Olmo Silva & Felix Weinhardt, 2012. "The Good, the Bad, and the Average: Evidence on Ability Peer Effects in Schools," Journal of Labor Economics, University of Chicago Press, vol. 30(2), pages 367-414.
    35. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    36. Yona Rubinstein & James J. Heckman, 2001. "The Importance of Noncognitive Skills: Lessons from the GED Testing Program," American Economic Review, American Economic Association, vol. 91(2), pages 145-149, May.
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    Cited by:

    1. Barón, Juan D. & Cobb-Clark, Deborah A., 2010. "Are Young People's Educational Outcomes Linked to their Sense of Control?," IZA Discussion Papers 4907, Institute of Labor Economics (IZA).
    2. Martin Schlotter, 2011. "Age at Preschool Entrance and Noncognitive Skills before School - An Instrumental Variable Approach," ifo Working Paper Series 112, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    3. Núria Rodríguez-Planas, 2010. "Longer-term Impacts of Mentoring, Educational Services, and Incentives to Learn: Evidence from a Randomized Trial in the United States," Working Papers 449, Barcelona School of Economics.
    4. Eric Edmonds & Ben Feigenberg & Jessica Leight, 2023. "Advancing the Agency of Adolescent Girls," The Review of Economics and Statistics, MIT Press, vol. 105(4), pages 852-866, July.
    5. Rodríguez-Planas, Núria, 2010. "Longer-Term Impacts of Mentoring, Educational Services, and Incentives to Learn: Evidence from a Randomized Trial," IZA Discussion Papers 4754, Institute of Labor Economics (IZA).
    6. Elke Lüdemann, 2011. "Schooling and the Formation of Cognitive and Non-cognitive Outcomes," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 39.
    7. Ignacio García-Pérez, J. & Hidalgo-Hidalgo, Marisa, 2017. "No student left behind? Evidence from the Programme for School Guidance in Spain," Economics of Education Review, Elsevier, vol. 60(C), pages 97-111.
    8. Carla Calero & Sandra V. Rozo, 2016. "The effects of youth training on risk behavior: the role of non-cognitive skills," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-27, December.
    9. Marianna Battaglia & Marisa Hidalgo-Hidalgo, 2020. "Non-Cognitive Skills and Remedial Education: Good News for Girls," Working Papers 20.10, Universidad Pablo de Olavide, Department of Economics.
    10. James Heckman & Tim Kautz, 2013. "Fostering and Measuring Skills: Interventions That Improve Character and Cognition," Working Papers 2013-019, Human Capital and Economic Opportunity Working Group.
    11. Erik Grönqvist & Björn Öckert & Jonas Vlachos, 2017. "The Intergenerational Transmission of Cognitive and Noncognitive Abilities," Journal of Human Resources, University of Wisconsin Press, vol. 52(4), pages 887-918.
    12. Pedro S. Martins, 2017. "(How) Do Non-Cognitive Skills Programs Improve Adolescent School Achievement? Experimental Evidence," Working Papers 81, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    13. Sonja C. Kassenboehmer & Stefanie Schurer, 2018. "Survey item-response behavior as an imperfect proxy for unobserved ability: Theory and application," Working Papers 2018-035, Human Capital and Economic Opportunity Working Group.
    14. Helena Holmlund & Olmo Silva, 2014. "Targeting Noncognitive Skills to Improve Cognitive Outcomes: Evidence from a Remedial Education Intervention," Journal of Human Capital, University of Chicago Press, vol. 8(2), pages 126-160.
    15. Anna-Elisabeth Thum & Miroslav Beblavy, 2014. "Do Acquaintances and Friends Make Us Learn?: Social Capital and Lifelong Learning in Germany," SOEPpapers on Multidisciplinary Panel Data Research 673, DIW Berlin, The German Socio-Economic Panel (SOEP).
    16. Martins, Pedro S., 2017. "Can Non-Cognitive Skills Programs Improve Achievement? Quasi-Experimental Evidence from EPIS," GLO Discussion Paper Series 105, Global Labor Organization (GLO).
    17. Hvidman, Charlotte & Koch, Alexander K. & Nafziger, Julia & Nielsen, Søren Albeck & Rosholm, Michael, 2020. "An Intensive, School-Based Learning Camp Targeting Academic and Non-Cognitive Skills Evaluated in a Randomized Trial," IZA Discussion Papers 13771, Institute of Labor Economics (IZA).
    18. Tamás Keller & Péter Szakál, 2021. "Not just words! Effects of a light-touch randomized encouragement intervention on students’ exam grades, self-efficacy, motivation, and test anxiety," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-27, September.
    19. Vahé Nafilyan & Stefan Speckesser & Augustin de Coulon, 2020. "The long-term impact of improving non-cognitive skills of adolescents: Evidence from an English remediation programme," CVER Research Papers 028, Centre for Vocational Education Research.
    20. Marcenaro-Gutierrez, O.D. & Lopez-Agudo, L.A. & Henriques, C.O., 2021. "Are soft skills conditioned by conflicting factors? A multiobjective programming approach to explore the trade-offs," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 18-40.
    21. Kautz, Tim & Heckman, James J. & Diris, Ron & ter Weel, Bas & Borghans, Lex, 2014. "Fostering and Measuring Skills: Improving Cognitive and Non-Cognitive Skills to Promote Lifetime Success," IZA Discussion Papers 8696, Institute of Labor Economics (IZA).
    22. Guerra, Nancy & Modecki, Kathryn & Cunningham, Wendy, 2014. "Developing social-emotional skills for the labor market : the PRACTICE model," Policy Research Working Paper Series 7123, The World Bank.
    23. Daniel Gladwell & Gurleen Popli & Aki Tsuchiya, 2022. "Predictors of becoming not in education, employment or training: A dynamic comparison of the direct and indirect determinants," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 485-514, December.
    24. Francesco Bartolucci & Fulvia Pennoni & Giorgio Vittadini, 2023. "A Causal Latent Transition Model With Multivariate Outcomes and Unobserved Heterogeneity: Application to Human Capital Development," Journal of Educational and Behavioral Statistics, , vol. 48(4), pages 387-419, August.

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    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • I20 - Health, Education, and Welfare - - Education - - - General
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare

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