Economic gradients in early child neurodevelopment: A multi-country study
Little is known about the importance of household wealth for child neurodevelopment very early in life including during infancy. Previous studies have focused on specific developmental domains instead of more holistic multi-domain measures of neurodevelopment and on economic effects for the “average” child instead of evaluating the heterogeneity in economic gradients by different levels of developmental ability. Furthermore, not much is known about whether economic gradients in early child neurodevelopment are country-specific or generalizable between populations. We evaluate wealth gradients in child neurodevelopment, an important predictor of future health and human capital, between ages 3 and 24 months in four South American countries. We also assess the heterogeneity in these gradients at different locations of the neurodevelopment distribution using quantile regression. Employing a unique dataset of 2032 children with neurodevelopment measures obtained by physicians in 2005–2006, we find a large positive wealth gradient in neurodevelopment in Brazil. The wealth gradient is larger for children at higher neurodevelopment rankings, suggesting that wealth is associated with child development inequalities in the form of a wider gap between low and high achievers on neurodevelopment in Brazil. This result highlights the need to target poverty in Brazil as a key factor in health and human capital disparities earlier in life rather than later as early developmental deficits will be carried forward and possibly multiplied later in life. More importantly, small or insignificant wealth gradients are generally found in the other countries. These results suggest that wealth gradients in child neurodevelopment are country-specific and vary with population demographic, health, and socioeconomic characteristics. Therefore, findings from previous studies based on specific populations may not be generalizable to other countries. Furthermore, wealth gradients in child neurodevelopment appear to be dynamic rather than fixed and sensitive to population characteristics that modify their intensity.
Volume (Year): 78 (2013)
Issue (Month): C ()
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- Edward Telles & Nelson Lim, 1998. "Does it matter who answers the race question? Racial classification and income inequality in Brazil," Demography, Springer;Population Association of America (PAA), vol. 35(4), pages 465-474, November.
- George L. Wehby & Kaitlin Prater & Ann Marie McCarthy & Eduardo E. Castilla & Jeffrey C. Murray, 2011. "The Impact of Maternal Smoking during Pregnancy on Early Child Neurodevelopment," Journal of Human Capital, University of Chicago Press, vol. 5(2), pages 207-254.
- Lisa N Oliver & James R Dunn & Dafna E Kohen & Clyde Hertzman, 2007. "Do neighbourhoods influence the readiness to learn of kindergarten children in Vancouver? A multilevel analysis of neighbourhood effects," Environment and Planning A, Pion Ltd, London, vol. 39(4), pages 848-868, April.
- James Heckman & Flavio Cunha, 2007.
"The Technology of Skill Formation,"
American Economic Review,
American Economic Association, vol. 97(2), pages 31-47, May.
- James Heckman & Pedro Carneiro & Flavio Cunha, 2004. "The Technology of Skill Formation," 2004 Meeting Papers 681, Society for Economic Dynamics.
- Flavio Cunha & James Heckman, 2007. "The Technology of Skill Formation," NBER Working Papers 12840, National Bureau of Economic Research, Inc.
- Cunha, Flavio & Heckman, James J., 2007. "The Technology of Skill Formation," IZA Discussion Papers 2550, Institute for the Study of Labor (IZA).
- Janet Currie, 2009. "Healthy, Wealthy, and Wise: Socioeconomic Status, Poor Health in Childhood, and Human Capital Development," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 87-122, March.
- Janet Currie, 2008. "Healthy, Wealthy, and Wise: Socioeconomic Status, Poor Health in Childhood, and Human Capital Development," NBER Working Papers 13987, National Bureau of Economic Research, Inc.
- John Ermisch, 2008. "Origins of Social Immobility and Inequality: Parenting and Early Child Development," National Institute Economic Review, National Institute of Economic and Social Research, vol. 205(1), pages 62-71, July.
- Flavio Cunha & James J. Heckman & Susanne M. Schennach, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," Econometrica, Econometric Society, vol. 78(3), pages 883-931, 05.
- Susanne Schennach & James Heckman & Flavio Cunha, 2007. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," 2007 Meeting Papers 973, Society for Economic Dynamics.
- Flavio Cunha & James Heckman & Susanne M. Schennach, 2010. "Estimating the technology of cognitive and noncognitive skill formation," CeMMAP working papers CWP09/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Cunha, Flavio & Heckman, James J. & Schennach, Susanne, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," IZA Discussion Papers 4702, Institute for the Study of Labor (IZA).
- Flavio Cunha & James Heckman & Susanne Schennach, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," NBER Working Papers 15664, National Bureau of Economic Research, Inc.
- Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
- Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, January.
- Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521608275, January.
- Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
- Ghuman, Sharon & Behrman, Jere R & Borja, Judith B & Gultiano, Socorro & King, Elizabeth M, 2005. "Family Background, Service Providers, and Early Childhood Development in the Philippines: Proxies and Interactions," Economic Development and Cultural Change, University of Chicago Press, vol. 54(1), pages 129-164, October.
- Christina Paxson & Norbert Schady, 2007. "Cognitive Development among Young Children in Ecuador: The Roles of Wealth, Health, and Parenting," Journal of Human Resources, University of Wisconsin Press, vol. 42(1).
- Christina Paxson & Norbert Schady, 2005. "Cognitive Development Among Young Children in Ecuador: The Roles of Wealth, Health and Parenting," Working Papers 239, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing..
- Paxson, Christina & Schady, Norbert, 2005. "Cognitive development among young children in Ecuador : the roles of wealth, health and parenting," Policy Research Working Paper Series 3605, The World Bank.
- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
- Lisa N Oliver & James R Dunn & Dafna E Kohen & Clyde Hertzman, 2007. "Do Neighbourhoods Influence the Readiness to Learn of Kindergarten Children in Vancouver? A Multilevel Analysis of Neighbourhood Effects," Environment and Planning A, , vol. 39(4), pages 848-868, April.
- Wehby George L. & McCarthy Ann Marie & Castilla Eduardo & Murray Jeffrey C., 2011. "The Impact of Household Investments on Early Child Neurodevelopment and on Racial and Socioeconomic Developmental Gaps: Evidence from South America," Forum for Health Economics & Policy, De Gruyter, vol. 14(2), pages 1-60, December. Full references (including those not matched with items on IDEAS)
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