IDEAS home Printed from https://ideas.repec.org/p/aut/wpaper/201104.html

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

Author

Listed:
  • 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.)

Abstract

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.

Suggested Citation

  • Gail Pacheco & Mary Hedges & Chris Schilling & Susan Morton, 2011. "Pre and post natal drivers of childhood intelligence: Evidence from Singapore," Working Papers 2011-04, Auckland University of Technology, Department of Economics.
    • Handle: RePEc:aut:wpaper:201104
    as

    Download full text from publisher

    File URL: https://www.aut.ac.nz/__data/assets/pdf_file/0017/122048/Economics-WP-2011-04.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Resul Cesur & Inas Rashad, 2008. "High Birth Weight and Cognitive Outcomes," NBER Working Papers 14524, National Bureau of Economic Research, Inc.
    2. Cesur Resul & Kelly Inas Rashad, 2010. "From Cradle to Classroom: High Birth Weight and Cognitive Outcomes," Forum for Health Economics & Policy, De Gruyter, vol. 13(2), pages 1-26, March.
    3. 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.
    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. Jaimee Stuart & Gail Pacheco & Mary Hedges & Susan Morton, 2013. "Monkey see, monkey do? How do shifts in parental socio-economic class influence children's outcomes?," Working Papers 2013-07, Auckland University of Technology, Department of Economics.
    2. Aydogan Ulker, 2016. "Body size at birth, physical development and cognitive outcomes in early childhood: evidence from the Longitudinal Survey of Australian Children," Education Economics, Taylor & Francis Journals, vol. 24(2), pages 142-166, April.
    3. Carbone, Jared C. & Kverndokk, Snorre, 2014. "Individual investments in education and health," HERO Online Working Paper Series 2014:1, University of Oslo, Health Economics Research Programme.
    4. Jonas Minet Kinge, 2017. "Variation in the relationship between birth weight and subsequent obesity by household income," Health Economics Review, Springer, vol. 7(1), pages 1-9, December.
    5. Cerdá, Magdalena & Buka, Stephen L. & Rich-Edwards, Janet W., 2008. "Neighborhood influences on the association between maternal age and birthweight: A multilevel investigation of age-related disparities in health," Social Science & Medicine, Elsevier, vol. 66(9), pages 2048-2060, May.
    6. Rouse, Heather L. & Choi, Ji Young & Riser, Quentin H. & Beecher, Constance C., 2020. "Multiple risks, multiple systems, and academic achievement: A nationally representative birth-to-five investigation," Children and Youth Services Review, Elsevier, vol. 108(C).
    7. Cassandra Robertson & Rourke O’Brien, 2018. "Health Endowment at Birth and Variation in Intergenerational Economic Mobility: Evidence From U.S. County Birth Cohorts," Demography, Springer;Population Association of America (PAA), vol. 55(1), pages 249-269, February.
    8. Alzúa, María Laura & Katzkowicz, Noemí, 2021. "Pay for performance for prenatal care and newborn health: Evidence from a developing country," World Development, Elsevier, vol. 141(C).
    9. Teresa Castro Martín, 2010. "Single motherhood and low birthweight in Spain," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 22(27), pages 863-890.
    10. Stefanie Mollborn & Aubrey Limburg & Bethany G. Everett, 2022. "Mothers’ Sexual Identity and Children’s Health," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(3), pages 1217-1239, June.
    11. Jeffrey E. Harris & Ana Balsa & Patricia Triunfo, 2014. "Campaña antitabaco en Uruguay:Impacto en la decisión de dejar de fumar durante el embarazo y en el peso al nacer," Documentos de Trabajo (working papers) 0114, Department of Economics - dECON.
    12. Yan, Ji, 2015. "Maternal pre-pregnancy BMI, gestational weight gain, and infant birth weight: A within-family analysis in the United States," Economics & Human Biology, Elsevier, vol. 18(C), pages 1-12.
    13. Ashlesha Datar & M. Rebecca Kilburn & David S Loughran, 2006. "Health Endowments and Parental Investments in Infancy and Early Childhood," Working Papers 367, RAND Corporation.
    14. Lee, Bong Joo & Lim, Se Hee, 2010. "Risk of low birth weight associated with family poverty in Korea," Children and Youth Services Review, Elsevier, vol. 32(12), pages 1670-1674, December.
    15. McDonough, Ian K. & Millimet, Daniel L., 2017. "Missing data, imputation, and endogeneity," Journal of Econometrics, Elsevier, vol. 199(2), pages 141-155.
    16. Anna Baranowska-Rataj & Kieron Barclay & Joan Costa-Font & Mikko Myrskylä & Berkay Özcan, 2023. "Preterm birth and educational disadvantage: Heterogeneous effects," Population Studies, Taylor & Francis Journals, vol. 77(3), pages 459-474, September.
    17. Florencia Torche, 2011. "The Effect of Maternal Stress on Birth Outcomes: Exploiting a Natural Experiment," Demography, Springer;Population Association of America (PAA), vol. 48(4), pages 1473-1491, November.
    18. Andrea M. Tilstra, 2018. "Estimating Educational Differences in Low-Risk Cesarean Section Delivery: A Multilevel Modeling Approach," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 37(1), pages 117-135, February.
    19. Voigt, Manfred & Heineck, Guido & Hesse, Volker, 2004. "The relationship between maternal characteristics, birth weight and pre-term delivery: evidence from Germany at the end of the 20th century," Economics & Human Biology, Elsevier, vol. 2(2), pages 265-280, June.
    20. Ana I. Balsa & Patricia Triunfo, 2012. "The Effectiveness of Prenatal Care in a Low Income Population: A Panel Data Approach," Documentos de Trabajo/Working Papers 1204, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:aut:wpaper:201104. 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: Thomas Schober (email available below). General contact details of provider: https://edirc.repec.org/data/fbautnz.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.