IDEAS home Printed from https://ideas.repec.org/p/cir/cirwor/2015s-47.html
   My bibliography  Save this paper

Academic achievement trajectories and risk factors during early childhood

Author

Listed:
  • Laëtitia Lebihan
  • Charles Olivier Mao Takongmo

Abstract

This study aims to: i) model the mathematical abilities trajectories of Canadian children from 7 to 15 years and ii) identify risk factors during early childhood for low math skills trajectories. Using a group-based trajectory approach, we identify three groups of children with distinct mathematical abilities trajectories: average abilities (47.6%), high abilities (30.1%), and low abilities (22.3%). The differences between the groups are increasing over time, especially in early adolescence. Multivariate logistic regressions indicate that the children at risk are those who have a mother with a low level of education, low cognitive score at age 4-5, and have parents with poor parenting skills.

Suggested Citation

  • Laëtitia Lebihan & Charles Olivier Mao Takongmo, 2015. "Academic achievement trajectories and risk factors during early childhood," CIRANO Working Papers 2015s-47, CIRANO.
    • Handle: RePEc:cir:cirwor:2015s-47
    as

    Download full text from publisher

    File URL: https://cirano.qc.ca/files/publications/2015s-47.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David M. Blau, 1999. "The Effect Of Income On Child Development," The Review of Economics and Statistics, MIT Press, vol. 81(2), pages 261-276, May.
    2. Petra E. Todd & Kenneth I. Wolpin, 2007. "The Production of Cognitive Achievement in Children: Home, School, and Racial Test Score Gaps," Journal of Human Capital, University of Chicago Press, vol. 1(1), pages 91-136.
    3. Francisco L. Rivera-Batiz, 1992. "Quantitative Literacy and the Likelihood of Employment among Young Adults in the United States," Journal of Human Resources, University of Wisconsin Press, vol. 27(2), pages 313-328.
    4. A. J. Reynolds & J. A. Temple, "undated". "Extended early childhood intervention and school achievement: Age 13 findings from the Chicago longitudinal study," Institute for Research on Poverty Discussion Papers 1095-96, University of Wisconsin Institute for Research on Poverty.
    5. Martin Dooley & Jennifer Stewart, 2004. "Family income and child outcomes in Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 37(4), pages 898-917, November.
    6. Sanders Korenman & Christopher Winship, 1995. "A Reanalysis of The Bell Curve," NBER Working Papers 5230, National Bureau of Economic Research, Inc.
    7. Green, David A. & Craig Riddell, W., 2003. "Literacy and earnings: an investigation of the interaction of cognitive and unobserved skills in earnings generation," Labour Economics, Elsevier, vol. 10(2), pages 165-184, April.
    8. O. Ashenfelter & D. Card (ed.), 1999. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 3, number 3.
    9. Baker, Michael, 2011. "Universal Early Childhood Interventions: What is the Evidence Base?," CLSSRN working papers clsrn_admin-2011-29, Vancouver School of Economics, revised 28 Nov 2011.
    10. 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.
    11. Michael Baker, 2011. "Innis Lecture: Universal early childhood interventions: what is the evidence base?," Canadian Journal of Economics, Canadian Economics Association, vol. 44(4), pages 1069-1105, November.
    12. Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-266, May.
    13. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
    14. Hanushek, Eric A, 1992. "The Trade-Off between Child Quantity and Quality," Journal of Political Economy, University of Chicago Press, vol. 100(1), pages 84-117, February.
    15. Heather Rose & Julian R. Betts, 2004. "The Effect of High School Courses on Earnings," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 497-513, May.
    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. LEBIHAN, Laetitia & MAO TAKONGMO, Charles Olivier, 2018. "Mathematics Trajectories and Risk Factors During Childhood," MPRA Paper 88612, University Library of Munich, Germany.
    2. Eric A. Hanushek & Victor Lavy & Kohtaro Hitomi, 2008. "Do Students Care about School Quality? Determinants of Dropout Behavior in Developing Countries," Journal of Human Capital, University of Chicago Press, vol. 2(1), pages 69-105.
    3. Finnie, Ross & Meng, Ronald, 2006. "The Importance of Functional Literacy: Reading and Math Skills and Labour Market Outcomes of High School Drop-outs," Analytical Studies Branch Research Paper Series 2006275e, Statistics Canada, Analytical Studies Branch.
    4. Conti, Valentina & Kopinska, Joanna, 2018. "The role of parental cognitive ageing in the intergenerational mobility of cognitive abilities," Labour Economics, Elsevier, vol. 51(C), pages 38-47.
    5. Giorgio Brunello & Lorenzo Rocco, 2008. "Educational Standards in Private and Public Schools," Economic Journal, Royal Economic Society, vol. 118(533), pages 1866-1887, November.
    6. Ruiz-Valenzuela, Jenifer, 2015. "Job loss at home: children’s school performanceduring the Great Recession in Spain," LSE Research Online Documents on Economics 63804, London School of Economics and Political Science, LSE Library.
    7. Ruiz-Valenzuela, Jenifer, 2020. "Intergenerational effects of employment protection reforms," LSE Research Online Documents on Economics 104016, London School of Economics and Political Science, LSE Library.
    8. Woessmann, Ludger, 2004. "How Equal Are Educational Opportunities? Family Background and Student Achievement in Europe and the United States," IZA Discussion Papers 1284, Institute of Labor Economics (IZA).
    9. Hanushek, Eric A. & Schwerdt, Guido & Wiederhold, Simon & Woessmann, Ludger, 2015. "Returns to skills around the world: Evidence from PIAAC," European Economic Review, Elsevier, vol. 73(C), pages 103-130.
    10. Nguyen, Ha, 2015. "The evolution of the gender test score gap through seventh grade: New insights from Australia using quantile regression and decomposition," MPRA Paper 67586, University Library of Munich, Germany.
    11. Lisa Grazzini, 2016. "The Importance of the Quality of Education: Some Determinants and its Effects on Earning Returns and Economic Growth," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2016(2), pages 43-82.
    12. Eric A. Hanushek & Ludger Woessmann, 2008. "The Role of Cognitive Skills in Economic Development," Journal of Economic Literature, American Economic Association, vol. 46(3), pages 607-668, September.
    13. Brunello, Giorgio & Fort, Margherita & Weber, Guglielmo & Weiss, Christoph T., 2013. "Testing the Internal Validity of Compulsory School Reforms as Instrument for Years of Schooling," IZA Discussion Papers 7533, Institute of Labor Economics (IZA).
    14. Behrman, Jere R., 2010. "Investment in Education Inputs and Incentives," Handbook of Development Economics, in: Dani Rodrik & Mark Rosenzweig (ed.), Handbook of Development Economics, edition 1, volume 5, chapter 0, pages 4883-4975, Elsevier.
    15. Jenifer Ruiz-Valenzuela, 2015. "Job Loss at Home: Children's School Performance During the Great Recession in Spain," CEP Discussion Papers dp1364, Centre for Economic Performance, LSE.
    16. Lounkaew, Kiatanantha, 2013. "Explaining urban–rural differences in educational achievement in Thailand: Evidence from PISA literacy data," Economics of Education Review, Elsevier, vol. 37(C), pages 213-225.
    17. David A Green & W Craig Riddell, "undated". "Literacy, Numeracy and Labour Market Outcomes in Canada," Canadian International Labour Network Working Papers 47, McMaster University.
    18. Wößmann, Ludger, 2001. "New Evidence on the Missing Resource-Performance Link in Education," Kiel Working Papers 1051, Kiel Institute for the World Economy (IfW Kiel).
    19. Pierre Lefebvre & Philip Merrigan & Matthieu Verstraete, 2008. "The Effects of School Quality and Family Functioning on Youth Math Scores: a Canadian Longitudinal Analysis," Cahiers de recherche 0822, CIRPEE.
    20. Chalfin, Aaron & Deza, Monica, 2019. "The intergenerational effects of education on delinquency," Journal of Economic Behavior & Organization, Elsevier, vol. 159(C), pages 553-571.

    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:cir:cirwor:2015s-47. 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: Webmaster (email available below). General contact details of provider: https://edirc.repec.org/data/ciranca.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.