1932

Abstract

This article compares early childhood enrichment programs that promote social mobility for disadvantaged children within and across generations. Instead of conducting a standard meta-analysis, we present a harmonized primary data analysis of programs that shape current policy. Our analysis is a template for rigorous syntheses and comparisons across programs. We analyze new long-run life-cycle data collected for iconic programs when participants are middle-aged and their children are in their twenties. The iconic programs are omnibus in nature and offer many services to children and their parents. We compare them with relatively low-cost, more focused home-visiting programs. Participants in programs that enrich home environments grow up with better skills, jobs, earnings, marital stability, and health, as well as reduced participation in crime. The long-run monetized gains are substantially greater than the costs of the iconic programs. A study of focused home-visiting programs that target parents enables us to isolate a crucial component of successful programs: They activate and promote the parenting skills of child caregivers. The home-visiting programs we analyze produce outcomes comparable to those of the iconic omnibus programs. National implementation of the programs with long-run follow-up that we analyze would substantially shrink the overall Black-White earnings gap in the United States.

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2023-09-13
2024-04-25
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Literature Cited

  1. Agostinelli F, Wiswall M. 2016. Estimating the technology of children's skill formation NBER Work. Pap. 22442
  2. Andersen SC, Bodilsen ST, Houmark MA, Nielsen HS. 2022. Fade-out of educational interventions: statistical and substantive sources CESifo Work. Pap. 10094 Cent. Econ. Stud. Munich, Ger:.
  3. Andrew A, Attanasio O, Augsburg B, Day M, Grantham-McGregor S et al. 2020. Effects of a scalable home-visiting intervention on child development in slums of urban India: evidence from a randomised controlled trial. J. Child Psychol. Psychiatry 61:6644–52
    [Google Scholar]
  4. Athey S, Chetty R, Imbens G, Kang H. 2019. The surrogate index: combining short-term proxies to estimate long-term treatment effects more rapidly and precisely NBER Work. Pap. 26463
  5. Attanasio O, Boneva T, Rauh C. 2019a. Parental beliefs about returns to different types of investments in school children NBER Work. Pap. 25513
  6. Attanasio O, Cattan S, Fitzsimons E, Meghir C, Rubio-Codina M. 2020a. Estimating the production function for human capital: results from a randomized controlled trial in Colombia. Am. Econ. Rev. 110:148–85
    [Google Scholar]
  7. Attanasio O, Cunha F, Jervis P. 2019b. Subjective parental beliefs. Their measurement and role NBER Work. Pap. 26516
  8. Attanasio O, Fernandez C, Fitzsimons EOA, Grantham-McGregor SM, Meghir C, Rubio-Codina M. 2014. Using the infrastructure of a conditional cash transfer program to deliver a scalable integrated early child development program in Colombia: cluster randomized controlled trial. BMJ 349:g5785
    [Google Scholar]
  9. Attanasio O, Meghir C, Nix E. 2020b. Human capital development and parental investment in India. Rev. Econ. Stud. 87:62511–41
    [Google Scholar]
  10. Bailey DH, Duncan GJ, Cunha F, Foorman BR, Yeager DS. 2020. Persistence and fade-out of educational-intervention effects: mechanisms and potential solutions. Psychol. Sci. Public Interest 21:255–97
    [Google Scholar]
  11. Bailey DH, Duncan GJ, Odgers CL, Yu W. 2017. Persistence and fadeout in the impacts of child and adolescent interventions. J. Res. Educ. Effect. 10:17–39
    [Google Scholar]
  12. Barr A, Eggleston J, Smith AA. 2022. Investing in infants: the lasting effects of cash transfers to new families. Q. J. Econ. 137:42539–83
    [Google Scholar]
  13. Barr A, Gibbs C. 2022. Breaking the cycle? Intergenerational effects of an anti-poverty program in early childhood. J. Political Econ. 130:123253–85
    [Google Scholar]
  14. Becker GS, Tomes N. 1979. An equilibrium theory of the distribution of income and intergenerational mobility. J. Political Econ. 87:61153–89
    [Google Scholar]
  15. Becker GS, Tomes N. 1986. Human capital and the rise and fall of families. J. Labor Econ. 4:3, Part 2S1–39
    [Google Scholar]
  16. Borghans L, Golsteyn BH, Heckman J, Humphries JE. 2011. Identification problems in personality psychology. Pers. Individ. Differ. 51:3315–20
    [Google Scholar]
  17. Borghans L, Golsteyn BHH, Heckman JJ, Humphries JE. 2016. What grades and achievement tests measure. PNAS 113:4713354–59
    [Google Scholar]
  18. Brentani A, Walker S, Chang-Lopez S, Grisi S, Powell C, Fink G. 2021. A home visit-based early childhood stimulation programme in Brazil—a randomized controlled trial. Health Policy Plan. 36:3288–97
    [Google Scholar]
  19. Campbell F, Conti G, Heckman JJ, Moon SH, Pinto R et al. 2014. Early childhood investments substantially boost adult health. Science 343:61781478–85
    [Google Scholar]
  20. Cascio EU. 2023. Does universal preschool hit the target? Program access and preschool impacts. J. Hum. Resour. 58:11–42
    [Google Scholar]
  21. Cattaneo MD, Crump RK, Farrell MH, Feng Y. 2019. On Binscatter Staff Rep. 881, Fed. Reserve Bank New York New York:
  22. Caucutt EM, Lochner L. 2020. Early and late human capital investments, borrowing constraints, and the family. J. Political Econ. 128:31065–147
    [Google Scholar]
  23. Caucutt EM, Lochner L, Mullins J, Park Y. 2020. Child skill production: accounting for parental and market-based time and goods investments NBER Work. Pap. 27838
  24. Chaparro J, Sojourner A, Wiswall M. 2020. Early childhood care and cognitive development NBER Work. Pap. 26813
  25. Chetty R, Friedman JN, Hilger N, Saez E, Schanzenbach DW, Yagan D. 2011. How does your kindergarten classroom affect your earnings? Evidence from Project STAR. Q. J. Econ. 126:41593–660
    [Google Scholar]
  26. Chetty R, Hendren N. 2018a. The impacts of neighborhoods on intergenerational mobility I: childhood exposure effects. Q. J. Econ. 133:31107–62
    [Google Scholar]
  27. Chetty R, Hendren N. 2018b. The impacts of neighborhoods on intergenerational mobility II: county-level estimates. Q. J. Econ. 133:31163–228
    [Google Scholar]
  28. Chetty R, Hendren N, Jones MR, Porter SR. 2020. Race and economic opportunity in the United States: an intergenerational perspective. Q. J. Econ. 135:2711–83
    [Google Scholar]
  29. Conti G, Heckman JJ, Pinto R. 2016. The effects of two influential early childhood interventions on health and healthy behaviour. Econ. J. 126:596F28–65
    [Google Scholar]
  30. Cornelissen T, Dustmann C, Raute A, Schönberg U. 2018. Who benefits from universal child care? Estimating marginal returns to early child care attendance. J. Political Econ. 126:62356–409
    [Google Scholar]
  31. Cunha F, Elo I, Culhane J. 2022. Maternal subjective expectations about the technology of skill formation predict investments in children one year later. J. Econom. 231:13–32
    [Google Scholar]
  32. Cunha F, Heckman J. 2007. The technology of skill formation. Am. Econ. Rev. 97:231–47
    [Google Scholar]
  33. Cunha F, Heckman JJ. 2008. Formulating, identifying and estimating the technology of cognitive and noncognitive skill formation. J. Hum. Resour. 43:4738–82
    [Google Scholar]
  34. Cunha F, Heckman JJ, Lochner L, Masterov DV 2006. Interpreting the evidence on life cycle skill formation. Handbook of the Economics of Education, Vol. 1 E Hanushek, F Welch 697–812. Amsterdam: North-Holland
    [Google Scholar]
  35. Cunha F, Heckman JJ, Schennach SM. 2010. Estimating the technology of cognitive and noncognitive skill formation. Econometrica 78:3883–931
    [Google Scholar]
  36. Del Boca D, Flinn C, Verriest E, Wiswall M 2019. Actors in the child development process NBER Work. Pap. 25596
  37. Del Boca D, Flinn C, Wiswall M. 2014. Household choices and child development. Rev. Econ. Stud. 81:1137–85
    [Google Scholar]
  38. Del Bono E, Kinsler J, Pavan R. 2022. Identification of dynamic latent factor models of skill formation with translog production. J. Appl. Econom. 37:61256–65
    [Google Scholar]
  39. Deshpande M. 2016. Does welfare inhibit success? The long-term effects of removing low-income youth from the disability rolls. Am. Econ. Rev. 106:113300–30
    [Google Scholar]
  40. Doepke M, Zilibotti F. 2017. Parenting with style: altruism and paternalism in intergenerational preference transmission. Econometrica 85:51331–71
    [Google Scholar]
  41. Doepke M, Zilibotti F 2019. Love, Money, and Parenting: How Economics Explains the Way We Raise Our Kids Princeton, NJ: Princeton Univ. Press
  42. Doyle O. 2016. Preparing for life: testing the effectiveness of a five-year intervention programme in India Unpublished manuscript, Sch. Econ., Univ. Coll. Dublin Dublin:
  43. Doyle O. 2020. The first 2,000 days and child skills. J. Political Econ. 128:62067–122
    [Google Scholar]
  44. Doyle O. 2021. Can early intervention have a sustained effect on human capital? Unpublished manuscript, Sch. Econ., Univ. Coll. Dublin, Dublin
  45. Duncan G, Kalil A, Mogstad M, Rege M. 2022. Investing in early childhood development in preschool and at home NBER Work. Pap. 29985
  46. Duncan GJ, Magnuson K. 2013. Investing in preschool programs. J. Econ. Perspect. 27:2109–32
    [Google Scholar]
  47. Duncan GJ, Sojourner AJ. 2013. Can intensive early childhood intervention programs eliminate income-based cognitive and achievement gaps?. J. Hum. Resour. 48:4945–68
    [Google Scholar]
  48. Ertem IO, Krishnamurthy V, Mulaudzi MC, Sguassero Y, Balta H et al. 2018. Similarities and differences in child development from birth to age 3 years by sex and across four countries: a cross-sectional, observational study. Lancet Glob. Health 6:3e279–91
    [Google Scholar]
  49. Fernald LC, Prado E, Kariger P, Raikes A. 2017. A Toolkit for Measuring Early Childhood Development in Low and Middle-income Countries Washington, DC: World Bank
  50. Ganimian AJ, Muralidharan K, Walters CR. 2021. Augmenting state capacity for child development in India NBER Work. Pap. 28780
  51. García JL. 2022. Social-program use, savings for retirement, long-term health, and intergenerational impacts of early childhood education Unpublished manuscript, John E. Walker Dep. Econ., Clemson Univ. Clemson, SC:
  52. García JL, Bennhoff F, Leaf DE, Heckman J 2021a. The dynastic benefits of early childhood education NBER Work. Pap. 29004
  53. García JL, Heckman J, Ronda V 2021b. The lasting effects of early childhood education on promoting the skills and social mobility of disadvantaged African Americans NBER Work. Pap. 29057
  54. García JL, Heckman JJ 2021. Early childhood education and life-cycle health. Health Econ. 30:S1119–41
    [Google Scholar]
  55. García JL, Heckman JJ. 2022. Three criteria for evaluating social programs. J. Benefit-Cost Anal 133281–86
    [Google Scholar]
  56. García JL, Heckman JJ, Leaf DE, Prados MJ. 2020. Quantifying the life-cycle benefits of an influential early-childhood program. J. Political Econ. 128:72502–41
    [Google Scholar]
  57. García JL, Heckman JJ, Ziff AL. 2018. Gender differences in the benefits of an influential early childhood program. Eur. Econ. Rev. 109:9–22
    [Google Scholar]
  58. García JL, Heckman JJ, Ziff AL. 2019. Early childhood education and crime. Infant Mental Health J. 40:1141–51
    [Google Scholar]
  59. Gertler P, Heckman J, Pinto R, Chang S, Grantham-McGregor S et al. 2021. Effect of the Jamaica Early Childhood Stimulation intervention on labor market outcomes at age 31 NBER Work. Pap. 29292
  60. Gertler P, Heckman J, Pinto R, Zanolini A, Vermeersch C et al. 2014. Labor market returns to an early childhood stimulation intervention in Jamaica. Science 344:6187998–1001
    [Google Scholar]
  61. Grantham-McGregor SM, Walker SP, Chang SM, Powell CA. 1997. Effects of early childhood supplementation with and without stimulation on later development in stunted Jamaican children. Am. J. Clin. Nutr. 66:2247–53
    [Google Scholar]
  62. Gray-Lobe G, Pathak PA, Walters CR. 2021. The long-term effects of universal preschool in Boston NBER Work. Pap. 28756
  63. Havnes T, Mogstad M. 2015. Is universal child care leveling the playing field?. J. Public Econ. 127:100–14
    [Google Scholar]
  64. Heckman JJ, Karapakula G. 2021. Using a satisficing model of experimenter decision-making to guide finite-sample inference for compromised experiments. Econom. J. 24:2C1–39
    [Google Scholar]
  65. Heckman JJ, Landersø R 2022. How the welfare state affects inequality and social mobility: a comparison of the U.S. and Denmark Unpublished manuscript, Dep. Econ., Univ. Chicago Chicago, IL:
  66. Heckman JJ, Liu B, Lu M, Zhou J 2020a. The impacts of a prototypical home visiting program on child skills NBER Work. Pap. 27356
  67. Heckman JJ, Lochner LJ, Todd PE 2006. Earnings functions, rates of return and treatment effects: the Mincer equation and beyond. Handbook of the Economics of Education, Vol. 1 E Hanushek, F Welch 307–458. Amsterdam: North-Holland
    [Google Scholar]
  68. Heckman JJ, Lochner L, Todd PE. 2008. Earnings functions and rates of return. J. Hum. Capital 2:11–31
    [Google Scholar]
  69. Heckman JJ, Moon SH, Pinto R, Savelyev PA, Yavitz A. 2010a. The rate of return to the HighScope Perry Preschool Program. J. Public Econ. 94:1–2114–28
    [Google Scholar]
  70. Heckman JJ, Mosso S. 2014. The economics of human development and social mobility. Annu. Rev. Econ. 6:689–733
    [Google Scholar]
  71. Heckman JJ, Pinto R, Moon SH, Yavitz A, Savelyev P. 2010b. Analyzing social experiments as implemented: a reexamination of the evidence from the HighScope Perry Preschool Program. Quant. Econ. 1:11–46
    [Google Scholar]
  72. Heckman JJ, Pinto R, Savelyev P. 2013. Understanding the mechanisms through which an influential early childhood program boosted adult outcomes. Am. Econ. Rev. 103:62052–86
    [Google Scholar]
  73. Heckman JJ, Pinto R, Shaikh AM 2020b. Inference with imperfect randomization: the case of the Perry Preschool Program Work. Pap. 2020-97 Becker Friedman Inst. Econ., Univ. Chicago Chicago:
  74. Heckman JJ, Vytlacil EJ 2007. Econometric evaluation of social programs, part II: using the marginal treatment effect to organize alternative econometric estimators to evaluate social programs, and to forecast their effects in new environments. Handbook of Econometrics, Vol. 6 Part B, ed. JJ Heckman, EE Leamer 4875–5143. Amsterdam: North-Holland
    [Google Scholar]
  75. Hendren N, Sprung-Keyser B. 2020. A unified welfare analysis of government policies. Q. J. Econ. 135:31209–318
    [Google Scholar]
  76. Hermes H, Lergetporer P, Peter F, Wiederhold S. 2021. Behavioral barriers and the socioeconomic gap in child care enrollment IZA Discuss. Pap. 14698 Inst. Labor Econ. Bonn, Ger:.
  77. Hertzman C, Bertrand J. 2007. Children in poverty and the use of early development instrument mapping to improve their worlds. Paediatr. Child Health 12:8687–92
    [Google Scholar]
  78. Hojman APC. 2016. Three essays on the economics of early childhood education programs PhD Thesis, Univ. Chicago Chicago, IL:
  79. Imbens G, Angrist J. 1994. Estimation and identification of local average treatment effects. Econometrica 62:467–75
    [Google Scholar]
  80. Inhelder B, Piaget J. 1972. The Psychology of the Child. New York: Basic Books
  81. Kline P, Walters CR. 2016. Evaluating public programs with close substitutes: the case of HeadStart. Q. J. Econ. 131:41795–848
    [Google Scholar]
  82. Leibowitz A. 1974. Home investments in children. J. Political Econ. 82:2, Part 2S111–31
    [Google Scholar]
  83. Leventhal T, Martin A, Brooks-Gunn J. 2004. The EC-HOME across five national data sets in the 3rd to 5th year of life. Parenting 4:2–3161–88
    [Google Scholar]
  84. Linver MR, Martin A, Brooks-Gunn J. 2004. Measuring infants' home environment: the IT-HOME for infants between birth and 12 months in four national data sets. Parenting 4:2–3115–37
    [Google Scholar]
  85. List JA. 2022. The Voltage Effect: How to Make Good Ideas Great and Great Ideas Scale New York: Currency
  86. Loewenstein S. 1973. Conclusion of a study of PARI as a research tool. Child Welf. 52:6400–2
    [Google Scholar]
  87. Marshall A. 1890. Principles of Economics London: McMillan
  88. Mullins J. 2019. Designing cash transfers in the presence of children's human capital formation Unpublished manuscript, Dep. Econ., Univ. Minn. Minneapolis:
  89. Mullins J. 2020. A structural meta-analysis of welfare reform experiments and their impacts on children Unpublished manuscript, Dep. Econ., Univ. Minn. Minneapolis:
  90. Natl. Acad. Sci. Eng. Med 2019. A Roadmap to Reducing Child Poverty Washington, DC: Natl. Acad. Press
  91. Pavan R. 2016. On the production of skills and the birth-order effect. J. Hum. Resour. 51:3699–726
    [Google Scholar]
  92. Protzko J. 2015. The environment in raising early intelligence: a meta-analysis of the fadeout effect. Intelligence 53:202–10
    [Google Scholar]
  93. Quandt RE. 1958. The estimation of the parameters of a linear regression system obeying two separate regimes. J. Am. Stat. Assoc. 53:284873–80
    [Google Scholar]
  94. Quandt RE. 1972. A new approach to estimating switching regressions. J. Am. Stat. Assoc. 67:338306–10
    [Google Scholar]
  95. Rossin-Slater M, Wüst M. 2020. What is the added value of preschool for poor children? Long-term and intergenerational impacts and interactions with an infant health intervention. Am. Econ. J. Appl. Econ. 12:3255–86
    [Google Scholar]
  96. Seror A. 2022. Child development in parent-child interactions. J. Political Econ. 130:92462–99
    [Google Scholar]
  97. Steinberg LD. 2014. Age of Opportunity: Lessons from the New Science of Adolescence. Boston, MA: Houghton Mifflin Harcourt
  98. Sylvia S, Warrinnier N, Luo R, Yue A, Attanasio O et al. 2021. From quantity to quality: delivering a home-based parenting intervention through China's family planning cadres. Econ. J. 131:6351365–400
    [Google Scholar]
  99. Tofail F, Hamadani JD, Mehrin F, Ridout DA, Huda SN, Grantham-McGregor SM. 2013. Psychosocial stimulation benefits development in nonanemic children but not in anemic, iron-deficient children. J. Nutr. 143:6885–93
    [Google Scholar]
  100. Uzgiris IC, Hunt J. 1975. Assessment in Infancy: Ordinal Scales of Psychological Development Champaign: Univ. Ill. Press
  101. Voltaire 1731–1732. Zaïre. Oeuvres Complètes de Voltaire, Vol. 8 DJ Fletcher, E Jacobs, N Masson Banbury Road, UK: Voltaire Found.
    [Google Scholar]
  102. Vygotsky LS. 1980. Mind in Society: The Development of Higher Psychological Processes Cambridge, MA: Harvard Univ. Press
  103. Walker SP, Chang SM, Powell CA, Grantham-McGregor SM. 2005. Effects of early childhood psychosocial stimulation and nutritional supplementation on cognition and education in growth-stunted Jamaican children: prospective cohort study. Lancet 366:1804–7
    [Google Scholar]
  104. Walker SP, Chang SM, Vera-Hernández M, Grantham-McGregor S. 2011. Early childhood stimulation benefits adult competence and reduces violent behavior. Pediatrics 127:5849–57
    [Google Scholar]
  105. Walker SP, Chang SM, Wright AS, Pinto R, Heckman JJ, Grantham-McGregor SM. 2022. Cognitive, psychosocial, and behaviour gains at age 31 years from the Jamaica early childhood stimulation trial. J. Child Psychol. Psychiatry 63:6626–35
    [Google Scholar]
  106. Walker SP, Grantham-McGregor SM, Powell CA, Chang SM. 2000. Effects of growth restriction in early childhood on growth, IQ, and cognition at age 11 to 12 years and the benefits of nutritional supplementation and psychosocial stimulation. J. Pediatr. 137:136–41
    [Google Scholar]
  107. Walters CR. 2015. Inputs in the production of early childhood human capital: evidence from Head Start. Am. Econ. J. Appl. Econ. 7:476–102
    [Google Scholar]
  108. Wash. State Inst. Public Policy 2015. What works and what does not? Benefit-cost findings from WSIPP Rep., Wash. State Inst. Public Policy Olympia, WA: https://www.wsipp.wa.gov/ReportFile/1602/Wsipp_What-Works-and-What-Does-Not-Benefit-Cost-Findings-from-WSIPP_Report.pdf
  109. Weikart DP, Bond JT, McNeil JT. 1978. The Ypsilanti Perry Preschool Project: preschool years and longitudinal results through fourth grade. Rep., High/Scope Educ. Res. Found. Ypsilanti, MI:
  110. WHO Multicent. Growth Ref. Study Group 2006. Assessment of sex differences and heterogeneity in motor milestone attainment among populations in the WHO Multicentre Growth Reference Study. Acta Paediatr. Suppl. 450:66–75
    [Google Scholar]
  111. Yazejian N, Bryant D, Freel K, Burchinal M. 2015. High-quality early education: age of entry and time in care differences in student outcomes for English-only and dual language learners. Early Child. Res. Q. 32:23–39
    [Google Scholar]
  112. Yazejian N, Bryant DM, Hans S, Horm D, St. Clair L et al. 2017. Child and parenting outcomes after 1 year of Educare. Child Dev. 88:51671–88
    [Google Scholar]
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