Abstract
This chapter presents an integrated economic approach that organizes and interprets the evidence on child development. It also discusses the indicators of child well-being that are used in international comparisons. Recent evidence on child development is summarized, and policies to promote child well-being are discussed. The chapter concludes with some open questions and suggestions for future research.
Keywords
Human Capital Parental Investment Labor Market Outcome Executive Function Adult Outcome
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
- Almond, D., & Currie, J. (2010). Human capital development before age five. In O. Ashenfelter & D. Card (Eds.), Handbook of labor economics (Vol. 4b, pp. 1315–1486). Amsterdam: North Holland.Google Scholar
- Baker-Henningham, H., & Lopez Boo, F. (2010). Early childhood stimulation interventions in developing countries: A comprehensive literature review. IZA dp 5282. Google Scholar
- Bandy, T. (2012). What works for male children and adolescents: Lessons from experimental evaluations of programs and interventions. Child Trends Fact Sheet. Publication #2012–22.Google Scholar
- Beaumont, J. (2011). Measuring national well-being. Discussion Paper on Domains and Measures, London Office for National Statistics.Google Scholar
- Becker, G. S., & Tomes, N. (1986). Human capital and the rise and fall of families. Journal of Labor Economics, 4(3), S1–S39.CrossRefGoogle Scholar
- Bell, K., Terzian, M.A. & Moore, K.A. (2012). What works for female children and adolescents: Lessons from experimental evaluations of programs and interventions. Child Trends Fact Sheet. Publication #2012–23.Google Scholar
- Ben-Arieh, A. (2008). The child indicators movement: Past, present, and future. Child Indicators Research, 1, 3–16.CrossRefGoogle Scholar
- Ben-Arieh, A., & Frones, I. (2011). Taxonomy for child well-being indicators: A framework for the analysis of the well-being of children. Childhood, 18(4), 460–476.CrossRefGoogle Scholar
- Ben-Porath, Y. (1967). The production of human capital and the life cycle of earnings. Journal of Political Economy, 75(4), 352–365.CrossRefGoogle Scholar
- Bjorklund, A., & Salvanes, K. (2011). Education and family background: Mechanisms and policies. In E. A. Hanushek & F. Welch (Eds.), Handbook of the economics of education. Amsterdam: Elsevier.Google Scholar
- Bodrova, E., & Leong, D. J. (2007). Tools of the mind: The Vygotskian approach to early childhood education. Upper Saddle River, NJ: Pearson.Google Scholar
- Bowles, S., & Gintis, H. (1976). Schooling in capitalist America. New York: Basic Books.Google Scholar
- Bowles, S., Gintis, H., & Osborne, M. (2001). The determinants of earnings: A behavioral approach. Journal of Economic Literature, 39(4), 1137–1176.CrossRefGoogle Scholar
- Bradshaw, J., & Richardson, D. (2009). An index of child well-being in Europe. Child Indicators Research, 2, 319–351.CrossRefGoogle Scholar
- Burdge, G. C., Lillycrop, K. A., Phillips, E. S., Slater-Jefferies, J. L., Jackson, A. A., & Hanson, M. A. (2009). Folic acid supplementation during the Juvenile-Pubertal period in rats modified the phenotype and epigenotype induced by prenatal nutrition. The Journal of Nutrition, 136, 1054–1060.CrossRefGoogle Scholar
- Campbell, F. A., & Ramey, C. T. (1994). Effects of early intervention on intellectual and academic achievement: A follow-up study of children from low-income families. Child Development, 65(2), 684–698.CrossRefGoogle Scholar
- Campbell, F. A., Pungello, E. P., Miller-Johnson, S., Burchinal, M., & Ramey, C. T. (2001). The development of cognitive and academic abilities: Growth curves from an early childhood educational experiment. Developmental Psychology, 37(2), 231–242.CrossRefGoogle Scholar
- Campbell, F. A., Pungello, E. P., & Miller-Johnson, S. (2002). The development of perceived scholastic competence and global self-worth in African American adolescents from low-income families. Journal of Adolescent Research, 17(3), 277–302.CrossRefGoogle Scholar
- Carneiro, P., Hansen, K., & Heckman, J. J. (2003). Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice. International Economic Review, 44(2), 361–422.CrossRefGoogle Scholar
- Carneiro, P., Crawford, C., & Goodman, A. (2007). The impact of early cognitive and non-cognitive skills on later outcomes. CEE dp92. LSEGoogle Scholar
- Cole, S. W., Conti, G., Arevalo, J. M., Ruggiero, A. M., Heckman J. J., & Suomi, S. J. (2012). Transcriptional modulation of the developing immune system by early life social adversity. PNAS, 109(50).Google Scholar
- Conti, G., & Hansman, C. (2012). Personality and the education-health gradient. Journal of Health Economics, 32(2), 980–985.Google Scholar
- Conti, G., & Heckman, J. J. (2010). Understanding the early origins of the education-health gradient: A framework that can also be applied to analyze gene-environment interactions. Perspectives on Psychological Science, 5, 585.CrossRefGoogle Scholar
- Conti, G., & Heckman, J.J. (2012). Early childhood development: Creating healthy communities with greater efficiency and effectiveness. In Investing in What Works for America’s Communities, Federal Reserve Bank of San Francisco and Low Income Investment Fund.Google Scholar
- Conti, G., & Heckman, J.J. (2013). The developmental approach to child and adult health. Pediatrics, forthcoming.Google Scholar
- Conti, G., Heckman, J. J., & Urzua, S. (2010). The education-health gradient. American Economic Review P&P, 100, 234–238.CrossRefGoogle Scholar
- Conti, G., Heckman, J. J, Urzua, S. (2011). Early endowments, education, and health. Human Capital and Economic Opportunity.Working Group. Working Paper No. 2011–001.Google Scholar
- Conti, G., Hansman, C., Heckman, J. J., Ruggiero, A., Novak, M. X., Suomi, S. J. (2012a). Primate evidence on the late health effects of early life adversity. PNAS, 109(23), 8866–8871.CrossRefGoogle Scholar
- Conti, G., Heckman, J. J., Fruhwirth-Schnatter, S., & Piatek, R. (2012b). Bayesian dedicated factor analysis. Unpublished manuscript, Department of Economics, University of Chicago.Google Scholar
- Cunha, F., & Heckman, J. J. (2007). The technology of skill formation. American Economics Review P&P, 97(2), 31–47.CrossRefGoogle Scholar
- Cunha, F., & Heckman, J. J. (2008). Formulating, identifying and estimating the technology of cognitive and noncognitive skill formation. Journal of Human Resources, XLIII, 4, 738–782.CrossRefGoogle Scholar
- Cunha, F., & Heckman, J. J. (2009). The economics and psychology of inequality and human development. Journal of the European Economic Association, 7, 320–364.CrossRefGoogle Scholar
- Cunha, F., Lochner, L. L., & Masterov, D. (2006). Interpreting the evidence on life cycle skill formation. In E. Hanushek & F. Welch (Eds.), Handbook of the economics of education (pp. 697–812). Amsterdam: North Holland.Google Scholar
- Cunha, F., Heckman, J. J., & Schennach, S. (2010). Estimating the technology of cognitive and noncognitive skill formation. Econometrica, 78(3), 883–931.CrossRefGoogle Scholar
- Currie, J. (2009). Healthy, wealthy, and wise: Socioeconomic status, poor health in childhood, and human capital development. Journal of Economic Literature, 47(1), 87–122.CrossRefGoogle Scholar
- Daly, M. (2011). Intelligence differences may explain the link between childhood psychological problems and adult socioeconomic status. Proceedings of the National Academy of Sciences, 108, E251.CrossRefGoogle Scholar
- Davidson, R. J., & McEwen, B. S. (2012). Social influences on neuroplasticity: stress and interventions to promote well-being. Nature Neuroscience, 15, 689–695.CrossRefGoogle Scholar
- Del Boca, D., Flinn, C. J., Wiswall, M. (2011) Household choices and child development. Manuscript. New York: New York University.Google Scholar
- Diamond, A., Barnett, W. S., Thomas, J., & Munro, S. (2007). Preschool program improves cognitive control. Science, 318, 1387–1388.CrossRefGoogle Scholar
- Dolan, P., Layard, R., Metcalfe R. (2011). Measuring subjective wellbeing for public policy: Recommendations on measures. Center for Economic Performance, Special Paper no. 23.Google Scholar
- Durlak, J. A., Weissberg, R. P., Dymnicki, A. B., Taylor, R. D., & Schellinger, K. B. (2011). The impact of enhancing students’ social and emotional learning: A meta-analysis of school-based universal interventions. Child Development, 82(1), 405–432.CrossRefGoogle Scholar
- Evenhouse, E., & Reilly, S. (2004). A sibling study of stepchild well-being. Journal of Human Resource, 39, 248–276.CrossRefGoogle Scholar
- Farran, D.C., Wilson, S. J. (2012). Experimental evaluation of the tools of the mind pre-k curriculum. Technical report, Peabody Research Institute Report.Google Scholar
- Feder, A., Nestler, E. J., & Charney, D. S. (2009). Psychobiology and molecular genetics of resilience. Nature Reviews Neuroscience, 10, 446–457.CrossRefGoogle Scholar
- Fernandes, L., Mendes, A., Teixeira, A. (2011). A review essay on the measurement of child well-being. Social Indicators Research, 106(2), 239–257.Google Scholar
- Fisher, P. A., Stoolmiller, M., Gunnar, M. R., & Burraston, B. O. (2007). Effects of a therapeutic intervention for foster preschoolers on diurnal cortisol activity. Psychoneuroendocrinology, 32, 892–905.CrossRefGoogle Scholar
- Goodman, A., Joyce, R., & Smith, J. P. (2011). The long shadow cast by childhood physical and mental problems on adult life. Proceedings of the National Academy of Sciences, 108(15), 6032–6037.CrossRefGoogle Scholar
- Grogger, J., & Karoly, L.A. (2007). The effects of work-conditioned transfers on marriage and child well-being. A review.” RAND Labor and Population Working Paper 531. Google Scholar
- Hamilton, J.D. (1994). State-space models. In Robert F. Engle & Daniel L. McFadden, (Eds.), Handbook of econometrics, 4, 3039–3080, Elsevier: North Holland.Google Scholar
- Heckman, J. J., Lochner, L., & Taber, C. (1998). Explaining rising wage inequality: Explorations with a dynamic general equilibrium model of labor earnings with heterogeneous agents. Review of Economic Dynamics, 1(1), 1–58.CrossRefGoogle Scholar
- Heckman, J. J. (2007). The economics, technology and neuroscience of human capability formation. Proceedings of the National Academy of Sciences, 104(33), 13250–13255.CrossRefGoogle Scholar
- Heckman, J. J. (2008). Schools, skills, and synapses. Economic Inquiry, 46(3), 289–324.CrossRefGoogle Scholar
- Heckman, J. J., Stixrud, J., & Urzua, S. (2006). The effects of cognitive and noncognitive abilities on labor market outcomes and social behavior. Journal of Labor Economics, 24(3), 411–482.CrossRefGoogle Scholar
- Heckman, J. J., Moon, S. H., Pinto, R., Savelyev, P. A., & Yavitz, A. Q. (2010a). Analyzing social experiments as implemented: A reexamination of the evidence from the HighScope Perry Preschool Program. Quantitative Economics, 1(1), 1–46.CrossRefGoogle Scholar
- Heckman, J. J., Moon, S. H., Pinto, R., Savelyev, P. A., & Yavitz, A. Q. (2010b). The rate of return to the HighScope Perry Preschool Program. Journal of Public Economics, 94(1–2), 114–128.CrossRefGoogle Scholar
- Heckman, J. J., Humphries, J. E., Kautz, T. (2013). The GED myth: education, achievement tests, and the role of character in american life. Chicago, IL: University of Chicago Press. Forthcoming.Google Scholar
- Heckman, J. J., Pinto, R., Savelyev, P.A. (2012). Understanding the mechanisms through which an influential early childhood program boosted adult outcomes. American Economic Review. Forthcoming.Google Scholar
- Hertzman, C., & Boyce, T. (2010). How experience gets under the skin to create gradients in developmental health. Annual Review of Public Health, 31, 329–347.CrossRefGoogle Scholar
- Imanaka, A., Morinobu, S., Toki, S., Yamamoto, S., Matsuki, A., Kozuru, T., & Yamawaki, S. (2008). Neonatal tactile stimulation reverses the effect of neonatal isolation on open-field and anxiety-like behavior, and pain sensitivity in male and female adult Sprague-Dawley rats. Behavior and Brain Research, 186, 91–97.CrossRefGoogle Scholar
- Jones, A. M., Rice, N., & Rosa Dias, P. (2011). Long-term effects of school quality on health and lifestyle: Evidence from comprehensive schooling reforms in England. Journal of Human Capital, 5(3), 342–376.CrossRefGoogle Scholar
- Jöreskog, K. (1977). Structural equations models in the social sciences: Specification, estimation, and testing. In P. Krishnaiah (Ed.), Applications of statistics (pp. 265–287). New York: North-Holland.Google Scholar
- Kaestner, R., & Callison, K. (2011). Adolescent cognitive and noncognitive correlates of adult health. Journal of Human Capital, 5(1), 29–69.CrossRefGoogle Scholar
- Kahneman, D., Diener, E., & Schwarz, N. (Eds.). (1999). Well-being: The foundations of hedonic psychology. New York: Russell Sage Found.Google Scholar
- Kieling, C., Baker-Henningham, H., Belfer, M., Conti, G., Ertem, I., Omigbodun, O., Augusto Rohde, L., Srinath, S., Ulkuer, N., & Rahman, A. (2011). Child and adolescent mental health worldwide: Evidence for action. The Lancet, 378(9801), 1515–1525.CrossRefGoogle Scholar
- Knudsen, E. I., Heckman, J. J., Cameron, J. L., & Shonkoff, J. P. (2006). Economic, neurobiological, and behavioral perspectives on building America’s future workforce. PNAS, 103(27), 10155–10162.CrossRefGoogle Scholar
- Land, K. C., Lamb, V. L., Meadows, S. O., & Taylor, A. (2007). Measuring trends in child well-being: An evidence-based approach. Social Indicators Research, 80, 105–132.CrossRefGoogle Scholar
- Leibowitz, A. (1974). Home investment in children. Journal of Political Economy, 82(2), S111–S131.CrossRefGoogle Scholar
- Lochner, L. (2011). Non-production benefits of education: Crime, health, and good citizenship. In E. A. Hanushek & F. Welch (Eds.), Handbook of the economics of education. Amsterdam: North Holland.Google Scholar
- Mazumder, B. (2012). The effects of education on health and mortality. Nordic Economic Policy Review, 2012(1), 261–301.Google Scholar
- McCrory, E., Brito, S. A., & Viding, E. (2010). Research review: The neurobiology and genetics of maltreatment and adversity. Journal of Child Psychology and Psychiatry, 51, 1079–1095.CrossRefGoogle Scholar
- McLanahan, S. (2004). Diverging destinies: How children are faring under the second demographic transition. Demography, 41(4), 607–627.CrossRefGoogle Scholar
- Moore, K.A., Murphey, D., Bandy, T., & Lawner, E. (2013). Indices of child well-being and developmental contexts. Handbook of Child Well-Being, forthcoming.Google Scholar
- Murasko, J. E. (2007). A lifecourse study on education and health: The relationship between childhood psychosocial resources and outcomes in adolescence and young adulthood. Social Science Research, 36, 1348–1370.CrossRefGoogle Scholar
- Murgatroyd, C., & Spengler D. (2011). Epigenetics of early child development. Frontiers in Psychiatry, 2(16), 1–15.Google Scholar
- Murgatroyd, C., Wu, Y., Bockmuhl, Y., & Spengler, D. (2010). Genes learn from stress: How infantile trauma programs us for depression? Epigenetics, 5(3), 194–199.CrossRefGoogle Scholar
- Nagin, D. S., & Tremblay, R. E. (2001). Parental and early childhood predictors of persistent physical aggression in boys from kindergarten to high school. Archives of General Psychiatry, 58(4), 389–394.CrossRefGoogle Scholar
- Nores, M., & Barnett, W. S. (2009). Benefits of early childhood interventions across the world: (Under) Investing in the very young. Economics of Education Review, 29(2), 271–282.Google Scholar
- O’Hare, W., Mather, M., Dupuis, G. (2012). Analyzing state differences in child well-being. Foundation for Child Development. Report.Google Scholar
- OECD (2009). “Comparative child well-being across the OECD”, Chapter 2. In Doing better for children. OECD Publishing.Google Scholar
- Office for National Statistics (2011). Measuring national well-being. Measuring what matters. National Statistician’s Reflections on the National Debate on Measuring National Well-being. London: Stationery Office.Google Scholar
- Office for National Statistics (2012). Measuring national well-being: Summary of proposed domains and measures. London: Stationery Office.Google Scholar
- Olds, D. (2002). Prenatal and infancy home visiting by nurses: From randomized trials to community replication. Prevention Science, 3(3), 153–172.CrossRefGoogle Scholar
- Olds, D. L., Robinson, J., O’Brien, R., Luckey, D. W., Pettitt, L. M., Henderson, C. R., Ng, R. K., Sheff, K. L., Korfmacher, J., Hiatt, S., & Talmi, A. (2002). Home visiting by paraprofessionals and by nurses: A randomized controlled trial. Pediatrics, 110, 486–496.CrossRefGoogle Scholar
- Pickett, K., & Wilkinson, R. (2007). Child wellbeing and income inequality in rich societies: Ecological cross sectional study. British Medical Journal, 335(7629), 1080–1087.CrossRefGoogle Scholar
- Puterman, E. & Epel, E. (2012). An intricate dance: Life experience, multisystem resiliency, and rate of telomere decline throughout the lifespan. Social and Personality Psychology Compass, 6(11), 807–825.CrossRefGoogle Scholar
- Rodriguez-Planas, N. (2012a). Longer-term impacts of mentoring, educational services, and incentives to learn: Evidence from a randomized trial. American Economic Journal: Applied Economics, 4(4), 121–39.CrossRefGoogle Scholar
- Ryan, R. M., & Deci, E. L. (2001). On happiness and human potentials: A review of research on Hedonic and Eudaimonic well-being. Annual Review of Psychology, 52, 141–166.CrossRefGoogle Scholar
- Ryff, C. D., & Singer, B. (1998). The contours of positive human health. Psychological Inquiry, 9, 1–28.CrossRefGoogle Scholar
- Schweinhart, L. J., Barnes, H. V., & Weikart, D. (1993). Significant benefits: The high-scope perry preschool study through age 27. Ypsilanti, MI: High/Scope Press.Google Scholar
- Sen, A. K. (1999). Development as freedom. New York: Random House.Google Scholar
- Shakotko, R.A., Edwards, L. N., Grossman, M. (1980). An exploration of the dynamic relationship between health and cognitive development in adolescence. NBER working paper 454. Google Scholar
- Slopen, N., Kubzansky, L.D., McLaughlin, K. A., Koenen, K. C. (2012). Childhood adversity and inflammatory processes in youth: A prospective study. Psychoneuroendocrinology, 38(2), 188–200.Google Scholar
- Sparling, J., & Lewis, I. (1979). Learning games for the first three years: A guide to parent/child play. New York: Berkley Books.Google Scholar
- Sparling, J., & Lewis, I. (1984). Learning games for threes and fours. New York: Walker and Company.Google Scholar
- UNICEF (2007). An overview of child well-being in rich countries, Innocenti Report Card 7.Google Scholar
- Van Soest, A., Vonkova, H. (2012). Testing parametric models using anchoring vignettes against nonparametric alternatives. Netspar. DP 02/2012-012.Google Scholar
- Wang, H.-X., & Gao, W.-J. (2009). Cell type-specific development of NMDA receptors in the interneurons of rat prefrontal cortex. Neuropsychopharmacology, 34, 2028–2040.CrossRefGoogle Scholar
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