Academic Performance and Childhood Misnourishment: A Quantile Approach

Kristen Capogrossi () and Wen You

Journal of Family and Economic Issues, 2013, vol. 34, issue 2, 156 pages

Abstract: This study assesses the impact of childhood BMI (underweight and overweight) on academic performance using data from the Early Childhood Longitudinal Study-Kindergarten Class. The modeling framework is innovative in that it focuses primarily on (i) controlling for potential endogeneity of BMI on academic performance (as both may be driven by other household characteristics), and (ii) examining marginal effects for the tails of the performance distribution (i.e., those lower performing students). We use Instrumental Variable Quantile Regression to address these two issues. We found that a child BMI had differential impacts across the performance distribution: it affected lower performing students more and may contribute to the achievement gap. Copyright Springer Science+Business Media, LLC 2013

Keywords: Academic achievement; Child weight; Performance distribution (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://hdl.handle.net/10.1007/s10834-012-9315-2 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:jfamec:v:34:y:2013:i:2:p:141-156

Ordering information: This journal article can be ordered from
http://www.springer. ... es/journal/10834/PS2

DOI: 10.1007/s10834-012-9315-2

Access Statistics for this article

Journal of Family and Economic Issues is currently edited by Joyce Serido

More articles in Journal of Family and Economic Issues from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().