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Is the impact of SES on educational performance overestimated? Evidence from the PISA survey

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  • O'Connell, Michael

Abstract

Despite a consensus that children's socio-economic status (SES) is linked to their educational outcomes, research is inconsistent. Differing variables are used to quantify SES; this can artificially boost its explanatory power. Policy-makers are encouraged to infer overly optimistic potential for redistributive tools. The PISA survey dataset was interrogated. The association between academic performance and two variables, parental educational attainment, and household income – was analysed. Results indicated that their link to academic performance was modest. Parental educational attainment was more important. Collapsing these into one single concept, rather than clarifying patterns of academic performance, concealed important differences between wealthy and poorer countries. The discussion proposes eschewing the unitary concept of SES.

Suggested Citation

  • O'Connell, Michael, 2019. "Is the impact of SES on educational performance overestimated? Evidence from the PISA survey," Intelligence, Elsevier, vol. 75(C), pages 41-47.
    • Handle: RePEc:eee:intell:v:75:y:2019:i:c:p:41-47
    DOI: 10.1016/j.intell.2019.04.005
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    1. Bénabou, Roland & Kramarz, Francis & Prost, Corinne, 2009. "The French zones d'éducation prioritaire: Much ado about nothing?," Economics of Education Review, Elsevier, vol. 28(3), pages 345-356, June.
    2. Nicola Brandt, 2010. "Chile: Climbing on Giants' Shoulders: Better Schools for all Chilean Children," OECD Economics Department Working Papers 784, OECD Publishing.
    3. Bowles, Samuel & Nelson, Valerie I, 1974. "The "Inheritance of IQ" and the Intergenerational Reproduction of Economic Inequality," The Review of Economics and Statistics, MIT Press, vol. 56(1), pages 39-51, February.
    4. Kerris Cooper & Kitty Stewart, 2013. "Does money affect children’s outcomes?," CASE Reports casereport80, Centre for Analysis of Social Exclusion, LSE.
    5. 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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    1. Sommer, Markus & Arendasy, Martin E. & Punter, Joachim Fritz & Feldhammer-Kahr, Martina & Rieder, Anita, 2025. "Does test preparation mediate the effect of parents' level of educational attainment on medical school admission test performance?," Intelligence, Elsevier, vol. 108(C).

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