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18 - Investing in Our Young People

Published online by Cambridge University Press:  05 June 2012

Arthur J. Reynolds
Affiliation:
University of Minnesota
Arthur J. Rolnick
Affiliation:
Federal Reserve Bank of Minneapolis
Michelle M. Englund
Affiliation:
University of Minnesota
Judy A. Temple
Affiliation:
University of Minnesota
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Summary

INTRODUCTION

It is well documented that people have diverse abilities, that these abilities account for a substantial portion of the variation across people in socioeconomic success, and that persistent and substantial ability gaps across children from various socioeconomic groups emerge before they start school. The family plays a powerful role in shaping these abilities through genetics and parental investments and through the choice of child environments. A variety of intervention studies indicate that ability gaps in children from different socioeconomic groups can be reduced if remediation is attempted at early ages. The remediation efforts that appear to be most effective are those that supplement family environments for disadvantaged children. Cunha, Heckman, Lochner, and Masterov (CHLM; 2006) present a comprehensive survey and discussion of this literature.

This chapter uses a simple economic model of skill formation to organize this and other evidence summarized here and the findings of related literatures in psychology, education, and neuroscience. The existing economic models of child development treat childhood as a single period (see, e.g., Aiyagari, Greenwood, & Seshadri, 2002; Becker & Tomes, 1986; Benabou, 2002). The implicit assumption in this approach is that inputs into the production of skills at different stages of childhood are perfect substitutes. Instead, we argue that to account for a large body of evidence, it is important to build a model of skill formation with multiple stages of childhood, where inputs at different stages are complements and where there is self-productivity of investment.

Type
Chapter
Information
Childhood Programs and Practices in the First Decade of Life
A Human Capital Integration
, pp. 381 - 414
Publisher: Cambridge University Press
Print publication year: 2010

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References

Aigner, D. J., Hsiao, C., Kapteyn, A., & Wansbeek, T. (1984). Latent variable models in econometrics. In Griliches, Z & Intriligator, M. D. (Eds.), Handbook of econometrics (Vol. 2, pp. 1321–1393). Amsterdam: Elsevier.Google Scholar
Aiyagari, S. R., Greenwood, J., & Seshadri, A. (2002). Efficient investment in children. Journal of Economic Theory, 102(2), 290–321.CrossRefGoogle Scholar
Akabayashi, H. (1996). On the role of incentives in the formation of human capital in the family (Doctoral dissertation, University of Chicago). Retrieved from ProQuest Digital Dissertations. (AAT 9629236).
Barnett, W. S. (2004). Benefit-cost analysis of preschool education. Retrieved from http://nieer.org/resources/files/BarnettBenefits.ppt, PowerPoint presentation.
Becker, G. S. (1991). A treatise on the family (enlarged ed.). Cambridge, MA: Harvard University Press.Google Scholar
Becker, G. S. (1993). Human capital: A theoretical and empirical analysis, with special reference to education (3rd ed.). Chicago: University of Chicago Press.CrossRefGoogle Scholar
Becker, G. S., & Tomes, N. (1986). Human capital and the rise and fall of families. Journal of Labor Economics, 4(3, Part 2), S1–S39.CrossRefGoogle ScholarPubMed
Ben-Porath, Y. (1967). The production of human capital and the life cycle of earnings. Journal of Political Economy, 75(4, Part 1), 352–365.CrossRefGoogle Scholar
Benabou, R. (2002). Tax and education policy in a heterogeneous agent economy: What levels of redistribution maximize growth and efficiency?Econometrica, 70(2), 481–517.CrossRefGoogle Scholar
Blau, D., & Currie, J. (2006). Preschool, daycare, and afterschool care: Who's minding the kids? In Hanushek, E. & Welch, F. (Eds.), Handbook of economics. Vol. 2: Handbook of the economics of education (pp. 1163–1278). Amsterdam: North-Holland.CrossRefGoogle Scholar
Borghans, L., Duckworth, A. L., Heckman, J. J., & ter Weel, B. (2008). The economics and psychology of personality traits. Journal of Human Resources, 43(4), 972–1059.CrossRefGoogle 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
Cameron, J. (2004). Evidence for an early sensitive period for the development of brain systems underlying social affiliative behavior. Unpublished manuscript, Oregon National Primate Research Center.Google Scholar
Cameron, S. V., & Heckman, J. J. (2001). The dynamics of educational attainment for black, Hispanic, and white males. Journal of Political Economy, 109(3), 455–499.CrossRefGoogle Scholar
Cameron, S. V., & Taber, C. (2004). Estimation of educational borrowing constraints using returns to schooling. Journal of Political Economy, 112(1), 132–182.CrossRefGoogle Scholar
Carneiro, P., Cunha, F., & Heckman, J. J. (2003, October 17). Interpreting the evidence of family influence on child development. Paper presented at the conference, “The Economics of Early Childhood Development: Lessons for Economic Policy,” Federal Reserve Bank of Minneapolis.Google Scholar
Carneiro, P., & Heckman, J. J. (2002). The evidence on credit constraints in post-secondary schooling. Economic Journal, 112(482), 705–734.CrossRefGoogle Scholar
Carneiro, P., & Heckman, J. J. (2003). Human capital policy. In Heckman, J. J., Krueger, A. B., & Friedman, B. M. (Eds.), Inequality in America: What role for human capital policies? (pp. 77–239). Cambridge, MA: MIT Press.Google Scholar
Carneiro, P., Heckman, J. J., & Vytlacil, E. J. (2006). Estimating marginal and average returns to education. Unpublished manuscript, University of Chicago, Department of Economics.Google Scholar
Caspi, A., McClay, J., Moffitt, T. E., Mill, J., Martin, J., Craig, I. W.. (2002). Role of genotype in the cycle of violence in maltreated children. Science, 297(5582), 851–854.CrossRefGoogle ScholarPubMed
Caucutt, E., & Lochner, L. J. (2004). Early and late human capital investments, credit constraints, and the family. Unpublished manuscript, University of Western Ontario, Department of Economics.Google Scholar
,Center for Human Resource Research. (2004). NLSY79 child and young adult data user's guide. Columbus, Ohio: Ohio State University.Google Scholar
Cunha, F., & Heckman, J. J. (2007). The technology of skill formation. American Economic Review, 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, 43(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(2–3), 320–364.CrossRefGoogle ScholarPubMed
Cunha, F., Heckman, J. J., Lochner, L. J., & Masterov, D. V. (2006). Interpreting the evidence on life cycle skill formation. In Hanushek, E. A. & Welch, F. (Eds.), Handbook of the economics of education (pp. 697–812). Amsterdam: North-Holland.Google Scholar
Cunha, F., Heckman, J. J., & Schennach, S. M. (2010). Estimating the technology of cognitive and noncognitive skill formation. Econometrica, 78(3), 883–931.Google ScholarPubMed
Currie, J., & Thomas, D. (1995). Does Head Start make a difference?American Economic Review, 85(3), 341–364.Google Scholar
Currie, J., & Thomas, D. (2000). School quality and the longer-term effects of Head Start. Journal of Human Resources, 35(4), 755–774.CrossRefGoogle Scholar
Dahl, G. B., & Lochner, L. J. (2005). The impact of family income on child achievement (Working Paper 11279). Cambridge, MA: National Bureau of Economic Research.CrossRefGoogle Scholar
Dahl, R. E. (2004). Adolescent brain development: A period of vulnerabilities and opportunities. In Dahl, R. E. & Spear, L. P. (Eds.), Annals of the New York Academy of Sciences (pp. 1–22). New York: New York Academy of Sciences.Google Scholar
Damasio, A. R. (1994). Descartes' error: Emotion, reason, and the human brain. New York: Putnam.Google Scholar
Duncan, G., & Brooks-Gunn, J. (1997). Income effects across the life span: Integration and interpretation. In Duncan, G., & Brooks-Gunn, J. (Eds.), Consequences of growing up poor (pp. 596–610). New York: Russell Sage.Google Scholar
Duncan, G., Dowsett, C. J., Claessens, A., Magnuson, K., Huston, A. C., Klebanov, P.. (2007). School readiness and later achievement. Developmental Psychology, 43(6), 1428–1446.CrossRefGoogle ScholarPubMed
Duncan, G., & Kalil, A. (2006). The effects of income in the early years on child outcomes. Unpublished manuscript, Northwestern University.Google Scholar
Durbin, J., Harvey, A. C., Koopman, S. J., & Shephard, N. (2004). State space and unobserved component models: Theory and applications: Proceedings of a conference in honour of James Durbin. New York: Cambridge University Press.Google Scholar
Erikson, E. H. (1950). Childhood and society. New York: Norton.Google Scholar
Gluckman, P. D., & Hanson, M. (2005). The fetal matrix: Evolution, development, and disease. Cambridge: Cambridge University Press.Google Scholar
Hansen, K. T., Heckman, J. J., & Mullen, K. J. (2004). The effect of schooling and ability on achievement test scores. Journal of Econometrics, 121(1–2), 39–98.CrossRefGoogle Scholar
Harvey, A. C. (1989). Forecasting, structural time series models and the Kalman filter. New York: Cambridge University Press.Google Scholar
Heckman, J. J. (1995). Lessons from The Bell Curve. Journal of Political Economy, 103(5), 1091–1120.CrossRefGoogle Scholar
Heckman, J. J. (2008). Schools, skills and synapses. Economic Inquiry, 46(3), 289–324.CrossRefGoogle ScholarPubMed
Heckman, J. J., Larenas, M. I., & Urzua, S. (2004). Accounting for the effect of schooling and abilities in the analysis of racial and ethnic disparities in achievement test scores. Unpublished manuscript, University of Chicago, Department of Economics.Google 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
Herrnstein, R. J., & Murray, C. A. (1994). The Bell Curve: Intelligence and class structure in American life. New York: Free Press.Google Scholar
Hopkins, K. D., & Bracht, G. H. (1975). Ten-year stability of verbal and nonverbal IQ scores. American Educational Research Journal, 12(4), 469–477.CrossRefGoogle Scholar
Jöreskog, K. G., & Goldberger, A. S. (1975). Estimation of a model with multiple indicators and multiple causes of a single latent variable. Journal of the American Statistical Association, 70(351), 631–639.Google Scholar
Knudsen, E. I., Heckman, J. J., Cameron, J., & Shonkoff, J. P. (2006). Economic, neurobiological, and behavioral perspectives on building America's future workforce. Proceedings of the National Academy of Sciences, 103(27), 10155–10162.CrossRefGoogle ScholarPubMed
LeDoux, J. E. (1996). The emotional brain: The mysterious underpinnings of emotional life. New York: Simon and Schuster.Google Scholar
Meaney, M. J. (2001). Maternal care, gene expression, and the transmission of individual differences in stress reactivity across generations. Annual Review of Neuroscience, 24(1), 1161–1192.CrossRefGoogle Scholar
Meghir, C., & Palme, M. (2001). The effect of a social experiment in education (Tech. Rep. W01/11). London: Institute for Fiscal Studies.CrossRefGoogle Scholar
Moon, S. H. (2009). Multi-dimensional human skill formation with multi-dimensional parental investment. Unpublished manuscript, University of Chicago, Department of Economics.Google Scholar
Morris, P., Duncan, G. J., & Clark-Kauffman, E. (2005). Child well-being in an era of welfare reform: The sensitivity of transitions in development to policy change. Developmental Psychology, 41(6), 919–932.CrossRefGoogle Scholar
Moynihan, D. P. (2006). The future of the family. New York: Russell Sage.Google Scholar
Murnane, R. J., Willett, J. B., & Levy, F. (1995). The growing importance of cognitive skills in wage determination. Review of Economics and Statistics, 77(2), 251–266.CrossRefGoogle Scholar
Newport, E. L. (1990). Maturational constraints on language learning [Special issue]. Cognitive Science, 14(1), 11–28.CrossRefGoogle Scholar
O'Connor, T. G., Rutter, M., Beckett, C., Keaveney, L., Kreppner, J. M., & the English and Romanian Adoptees Study Team (2000). The effects of global severe privation on cognitive competence: Extension and longitudinal follow-up. Child Development, 71(2), 376–390.CrossRefGoogle ScholarPubMed
Pinker, S. (1994). The language instinct: How the mind creates language. New York: Morrow.CrossRefGoogle Scholar
Raudenbush, S. W. (2006). Schooling, statistics and poverty: Measuring school improvement and improving schools. Inaugural Lecture, Division of Social Sciences, University of Chicago.Google Scholar
Raver, C. C., Garner, P. W., & Smith-Donald, R. (2007). The roles of emotion regulation and emotion knowledge for children's academic readiness: Are the links causal? In Pianta, R. C., Cox, M. J., & Snow, K. L. (Eds.), School readiness and the transition to kindergarten in the era of accountability (pp. 121–148). Baltimore, MD: Brookes.Google Scholar
Rutter, M. (2006). Genes and behavior: Nature–nurture interplay explained. Oxford: Blackwell.Google Scholar
Schweinhart, L. J., Montie, J., Xiang, Z., Barnett, W. S., Belfield, C. R., & Nores, M. (2005). Lifetime effects: The HighScope Perry Preschool Study through age 40. Ypsilanti, MI: HighScope Press.Google Scholar
Shonkoff, J. P., & Phillips, D. (2000). From neurons to neighborhoods: The science of early child development. Washington, DC: National Academy Press.Google Scholar
Stinebrickner, R., & Stinebrickner, T. (2008). The effect of credit constraints on the college drop-out decision: A direct approach using a new panel study. American Economic Review, 98(5), 2163–2184.CrossRefGoogle Scholar
Suomi, S. J. (1999). Developmental trajectories, early experiences, and community consequences: Lessons from studies with rhesus monkeys. In Keating, D. P. & Hertzman, C. (Eds.), Developmental health and the wealth of nations: Social, biological, and educational dynamics (pp. 185–200). New York: Guilford.Google Scholar
Weinberg, B. A. (2001). An incentive model of the effect of parental income on children. Journal of Political Economy, 109(2), 266–280.CrossRefGoogle Scholar

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