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Pre and post natal drivers of childhood intelligence: Evidence from Singapore

Listed author(s):
  • Gail Pacheco


    (Department of Economics, Auckland University of Technology, Auckland, New Zealand.)

  • Mary Hedges

    (Department of Economics, University of Auckland, Auckland, New Zealand.)

  • Chris Schilling

    (New Zealand Institute of Economic Research.)

  • Susan Morton

    (School of Population Health, University of Auckland, Auckland, New Zealand.)

In this study, we seek to investigate what influences children’s intelligence in early childhood. The Singapore Cohort Study of the Risk Factors of Myopia (SCORM) is used in to assess determinants of childhood IQ and changes in IQ. This longitudinal data set, collected from 1999, includes a wealth of demographic, socioeconomic, and prenatal characteristics. The richness of the data allows us to employ various econometric approaches including the use of ordered and multinomial logit analysis. We find mother’s education to be a consistent and key determinant of childhood IQ. We also find that father’s education and school quality are key drivers for increasing IQ levels above the average sample movement.

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Paper provided by Auckland University of Technology, Department of Economics in its series Working Papers with number 2011-04.

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Length: 19 pages
Date of creation: Oct 2011
Handle: RePEc:aut:wpaper:201104
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  1. Resul Cesur & Inas Rashad, 2008. "High Birth Weight and Cognitive Outcomes," NBER Working Papers 14524, National Bureau of Economic Research, Inc.
  2. Jason Boardman & Daniel Powers & Yolanda Padilla & Robert Hummer, 2002. "Low birth weight, social factors, and developmental outcomes among children in the United States," Demography, Springer;Population Association of America (PAA), vol. 39(2), pages 353-368, May.
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