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Demography

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Does Starting Universal Childcare Earlier Influence Children’s Skill Development?

  • Daniel KuehnleEmail author
  • Michael Oberfichtner
Article

Abstract

As many developed countries enact policies that allow children to begin universal childcare earlier, understanding how starting universal childcare earlier affects children’s cognitive and noncognitive skills is an important policy question. We provide comprehensive evidence on the multidimensional short- and longer-run effects of starting universal childcare earlier using a fuzzy discontinuity in the age at starting childcare in Germany. Combining rich survey and administrative data, we follow one cohort from age 6 to 15 and examine standardized cognitive test scores, noncognitive skill measures, and school track choice in a unified framework. Children who start universal childcare four months earlier around age 3 do not perform differently in terms of standardized cognitive test scores, measures of noncognitive skills, school track choice, or school entrance examinations. We also find no evidence of skill improvements for children with low socioeconomic status, although we provide suggestive evidence that they may benefit from high-quality care. Our estimates refer to children who start childcare before they become legally entitled, for whom the literature would predict low gains to starting childcare earlier. We provide further evidence on this relationship between parental resistance to and children’s potential gains from childcare. Simply allowing children to start universal childcare earlier is hence not sufficient to improve children’s skill development, particularly for children with low socioeconomic status.

Keywords

Universal childcare Child development Skill formation Cognitive skills Noncognitive skills 

Notes

Acknowledgments

We are grateful for helpful comments and suggestions received from four referees; Anna Adamecz-Völgyi, Stefan Bauernschuster, Jan Bietenbeck, Christian Dustmann, David Figlio, Jonathan Guryon, James J. Heckman, Mathias Huebener, Chris Karbownik, Patrick Puhani, Regina T. Riphahn, Claus Schnabel, Stefanie Schurer, Steven Stillman, Konstantinos Tatsiramos, and Rudolph Winter-Ebmer; from participants at the 2015 summer school of the DFG Priority Program 1764, the 2016 Ce2 workshop in Warsaw, the 2016 NEPS User Conference, the 1st IZA workshop on Gender and Family Economics, the 3rd network workshop of the DFG Priority Program 1764, the 2017 Essen Health and Labour Conference, the 2017 annual meeting of the Society of Labor Economics, and the 2017 annual meeting of the European Society of Population Economics; and seminar participants at the Northwestern Applied Micro Reading Group, Bayreuth University, Ludwig-Maximilians-Universität Munich, Lüneburg University, and RWI (Essen). This paper uses data from the National Educational Panel Study (NEPS): Starting Cohort 4–9th Grade, doi:  https://doi.org/10.5157/NEPS:SC4:4.0.0. From 2008 to 2013, NEPS data were collected as part of the Framework Programme for the Promotion of Empirical Educational Research funded by the German Federal Ministry of Education and Research (BMBF). As of 2014, the NEPS survey is carried out by the Leibniz Institute for Educational Trajectories (LIfBi) at the University of Bamberg in cooperation with a nationwide network. We thank the Ministry of Social Affairs, Health, Science and Equality of Schleswig Holstein, and Ute Thyen and Sabine Brehm specifically, for granting access to and providing valuable information on the school entrance examinations. Daniel Kuehnle acknowledges financial support by the DFG (grant number RI 856/7-1).

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References

  1. Almlund, M., Duckworth, A. L., Heckman, J. J., & Kautz, T. (2011). Personality psychology and economics. In E. A. Hanushek, S. Machin, & L. Woessmann (Eds.), Handbook of the economics of education (Vol. 4, pp. 1–181). Amsterdam, the Netherlands: Elsevier.Google Scholar
  2. Angrist, J. D., & Pischke, J.-S. (2009). Mostly harmless econometrics: An empiricist’s companion. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
  3. Baker, M., Gruber, J., & Milligan, K. (2008). Universal child care, maternal labor supply, and family well-being. Journal of Political Economy, 116, 709–745.CrossRefGoogle Scholar
  4. Baker, M., Gruber, J., & Milligan, K. (2019). The long-run impacts of a universal child care program. American Economic Journal: Economic Policy, 11(3), 1–26.Google Scholar
  5. Bauernschuster, S., Hener, T., & Rainer, H. (2016). Children of a (policy) revolution: The introduction of universal child care and its effect on fertility. Journal of the European Economic Association, 14, 975–1005.CrossRefGoogle Scholar
  6. Bauernschuster, S., & Schlotter, M. (2015). Public child care and mothers’ labor supply—Evidence from two quasi-experiments. Journal of Public Economics, 123, 1–16.Google Scholar
  7. Bedard, K., & Dhuey, E. (2006). The persistence of early childhood maturity: International evidence of long-run age effects. Quarterly Journal of Economics, 121, 1437–1472.Google Scholar
  8. Bernal, R., & Keane, M. P. (2011). Child care choices and children’s cognitive achievement: The case of single mothers. Journal of Labor Economics, 29, 459–512.CrossRefGoogle Scholar
  9. Black, S. E., Devereux, P. J., & Salvanes, K. G. (2011). Too young to leave the nest? The effects of school starting age. Review of Economics and Statistics, 93, 455–467.CrossRefGoogle Scholar
  10. Blau, D., & Currie, J. (2006). Pre-school, day care, and after-school care: Who’s minding the kids? In E. A. Hanushek & F. Welch (Eds.), Handbook of the economics of education (Vol. 2, pp. 1163–1278). Amsterdam, the Netherlands: Elsevier.Google Scholar
  11. Blau, D. M., & Hagy, A. P. (1998). The demand for quality in child care. Journal of Political Economy, 106, 104–146.CrossRefGoogle Scholar
  12. Blossfeld, H.-P., Roßbach, H.-G., & von Maurice, J. (2011). Education as a lifelong process—The German National Educational Panel Study (NEPS). Wiesbaden, Germany: VS Verlag für Sozialwissenschaften.Google Scholar
  13. BMFSFJ. (2005). Zwölfter Kinder- und Jugendbericht—Bericht über die Lebenssituation junger Menschen und die Leistungen der Kinder- und Jugendhilfe in Deutschland [Twelfth Child and Youth Report—Report on the living conditions of young people and the benefits of child and youth services in Germany] (Bundestagsdrucksache, No. 15/6014). Berlin, Germany: Bundesministerium für Familie, Senioren, Frauen und Jugend [Federal Ministry for Family Affairs, Senior Citizens, Women and Youth].Google Scholar
  14. Brooks-Gunn, J., Han, W.-J., & Waldfogel, J. (2002). Maternal employment and child cognitive outcomes in the first three years of life: The NICHD study of early child care. Child Development, 73, 1052–1072.CrossRefGoogle Scholar
  15. Buckles, K. S., & Hungerman, D. M. (2013). Season of birth and later outcomes: Old questions, new answers. Review of Economics and Statistics, 95, 711–724.CrossRefGoogle Scholar
  16. Carta, F., & Rizzica, L. (2018). Early kindergarten, maternal labor supply and children’s outcomes: Evidence from Italy. Journal of Public Economics, 158, 79–102.CrossRefGoogle Scholar
  17. Cascio, E. U. (2015). The promises and pitfalls of universal early education (IZA World of Labor Report, No. 116). Retrieved from  https://doi.org/10.15185/izawol.116
  18. Cascio, E. U. (2017). Does universal preschool hit the target? Program access and preschool impacts (NBER Working Paper No. 23215). Cambridge, MA: National Bureau of Economic Research.Google Scholar
  19. Cascio, E. U., & Schanzenbach, D. W. (2016). First in the class? Age and the education production function. Education Finance and Policy, 11, 225–250.CrossRefGoogle Scholar
  20. Chartier, A. M., & Geneix, N. (2006). Pedagogical approaches to early childhood education (Paper commissioned for the EFA Global Monitoring Report 2007). Paris, France: UNESCO.Google Scholar
  21. Cornelissen, T., Dustmann, C., Raute, A., & Schönberg, U. (2018). Who benefits from universal child care? Estimating marginal returns to early child care attendance. Journal of Political Economy, 126, 2356–2409.CrossRefGoogle Scholar
  22. Cunha, F., & Heckman, J. J. (2007). The technology of skill formation. American Economic Review: Papers and Proceedings, 97, 31–47.CrossRefGoogle Scholar
  23. Cunha, F., Heckman, J. J., & Schennach, S. M. (2010). Estimating the technology of cognitive and noncognitive skill formation. Econometrica, 78, 883–931.CrossRefGoogle Scholar
  24. Datta Gupta, N., & Simonsen, M. (2010). Non-cognitive child outcomes and universal high quality child care. Journal of Public Economics, 94, 30–43.CrossRefGoogle Scholar
  25. Datta Gupta, N., & Simonsen, M. (2016). Academic performance and type of early childhood care. Economics of Education Review, 53, 217–229.CrossRefGoogle Scholar
  26. Drange, N., & Havnes, T. (2019). Early childcare and cognitive development: Evidence from an assignment lottery. Journal of Labor Economics, 37, 581–620.CrossRefGoogle Scholar
  27. Dustmann, C., Puhani, P. A., & Schönberg, U. (2017). The long-term effects of early track choice. Economic Journal, 127, 1348–1380.CrossRefGoogle Scholar
  28. Elango, S., Garcia, J. L., Heckman, J. J., & Hojman, A. (2016). Early childhood education. In R. Moffitt (Ed.), Means-tested transfer programs in the United States (Vol. II, pp. 235–298). Chicago, IL: University of Chicago Press.Google Scholar
  29. Evers, A., Lewis, J., & Riedel, B. (2005). Developing child-care provision in England and Germany: Problems of governance. Journal of European Social Policy, 15, 195–209.CrossRefGoogle Scholar
  30. Evers, A., & Sachße, C. (2002). Social care services for children and older people in Germany: Distinct and separate histories. In J. Baldock, A. Anttonen, & J. Sippilä (Eds.), The young, the old and the state: Social care systems in five industrial nations (pp. 55–80). Cheltenham, UK: Edward Elgar.Google Scholar
  31. Fan, E., Liu, J.-T., & Chen, Y.-C. (2017). Is the quarter of birth endogenous? New evidence from Taiwan, the US, and Indonesia. Oxford Bulletin of Economics and Statistics, 79, 1087–1124.CrossRefGoogle Scholar
  32. Faust, G. (2006). Zum Stand der Einschulung und der neuen Schuleingangsstufe in Deutschland [The state of enrollment and the new school entrance level in Germany]. Zeitschrift für Erziehungswissenschaft, 9, 328–347.CrossRefGoogle Scholar
  33. Felfe, C., & Lalive, R. (2018). Does early child care affect children’s development? Journal of Public Economics, 159, 33–53.CrossRefGoogle Scholar
  34. Felfe, C., & Zierow, L. (2018). From dawn till dusk: Implications of full-day care for children’s development. Labour Economics, 55, 259–281.CrossRefGoogle Scholar
  35. Frankfurter Allgemeine Zeitung (FAZ). (1996, June 25). Rechtsanspruch wird eingelöst [Legal claim is honored]. Frankfurter Allgemeine Zeitung, p. 38.Google Scholar
  36. Frankfurter Allgemeine Zeitung (FAZ). (1997, August 21). 600 Plätze sind ständig frei [600 slots are always free]. Frankfurter Allgemeine Zeitung, p. 37.Google Scholar
  37. Frankfurter Allgemeine Zeitung (FAZ). (1998, December 30). Genügend Kindergartenplätze [Enough kindergarten places]. Frankfurter Allgemeine Zeitung, p. 62.Google Scholar
  38. Garces, E., Thomas, D., & Currie, J. (2002). Longer-term effects of Head Start. American Economic Review, 92, 999–1012.CrossRefGoogle Scholar
  39. Gormley, W. T., & Gayer, T. (2005). Promoting school readiness in Oklahoma an evaluation of Tulsa’s pre-k program. Journal of Human Resources, 40, 533–558.CrossRefGoogle Scholar
  40. Haeck, C., Lebihan, L., & Merrigan, P. (2018). Universal child care and long-term effects on child well-being: Evidence from Canada. Journal of Human Capital, 12, 38–98.CrossRefGoogle Scholar
  41. Haeck, C., Lefebvre, P., & Merrigan, P. (2015). Canadian evidence on ten years of universal preschool policies: The good and the bad. Labour Economics, 36, 137–157.CrossRefGoogle Scholar
  42. Hank, K., & Kreyenfeld, M. (2003). A multilevel analysis of child care and women’s fertility decisions in Western Germany. Journal of Marriage and Family, 65, 584–596.CrossRefGoogle Scholar
  43. Havnes, T., & Mogstad, M. (2011). No child left behind: Subsidized child care and children’ s long-run outcomes. American Economic Journal: Economic Policy, 3(2), 97–129.Google Scholar
  44. Havnes, T., & Mogstad, M. (2015). Is universal child care leveling the playing field? Journal of Public Economics, 127, 100–114.CrossRefGoogle Scholar
  45. Heckman, J. J. (2008). Schools, skills, and synapses. Economic Inquiry, 46, 289–324.CrossRefGoogle Scholar
  46. Heckman, J. J., Pinto, R., & Savelyev, P. (2013). Understanding the mechanisms through which an influential early childhood program boosted adult outcomes. American Economic Review, 103, 2052–2086.CrossRefGoogle Scholar
  47. Heckman, J. J., Urzua, S., & Vytlacil, E. (2006). Understanding instrumental variables in models with essential heterogeneity. Review of Economics and Statistics, 88, 389–432.CrossRefGoogle Scholar
  48. Heinze, R. G., Schmid, J., & Strünck, C. (1997). Zur politischen Ökonomie der sozialen Dienstleistungsproduktion. Der Wandel der Wohlfahrtsverbände und die Konjunkturen der Theoriebildung [The political economy of social service production: The transformation of charities and the cycles of theory formation]. Kölner Zeitschrift fur Soziologie und Sozialpsychologie, 49, 242–271.Google Scholar
  49. Hofferth, S. L., & Wissoker, D. A. (1992). Price, quality, and income in child care choice. Journal of Human Resources, 27, 70–111.CrossRefGoogle Scholar
  50. Hsin, A., & Felfe, C. (2014). When does time matter? Maternal employment, children’s time with parents, and child development. Demography, 51, 1867–1894.CrossRefGoogle Scholar
  51. Ichino, A., Fort, M., & Zanella, G. (Forthcoming). Cognitive and non-cognitive costs of daycare 0–2 for children in advantaged families. Journal of Political Economy.Google Scholar
  52. Imbens, G. W., & Rubin, D. B. (2015). Causal inference in statistics, social, and biomedical sciences. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
  53. Kottelenberg, M. J., & Lehrer, S. F. (2014). Do the perils of universal childcare depend on the child’s age? CESifo Economic Studies, 60, 338–365.CrossRefGoogle Scholar
  54. Kottelenberg, M. J., & Lehrer, S. F. (2017). Targeted or universal coverage? Assessing heterogeneity in the effects of universal child care. Journal of Labor Economics, 35, 609–653.CrossRefGoogle Scholar
  55. Kreyenfeld, M., & Hank, K. (2000). Does the availability of child care influence the employment of mothers? Findings from Western Germany. Population Research and Policy Review, 19, 317–337.CrossRefGoogle Scholar
  56. Kreyenfeld, M., Spieß, C. K., & Wagner, G. (2001). Finanzierungs- und Organisationsmodelle institutioneller Kinderbetreuung: Analysen zum Status quo und Vorschläge zur Reform [Financing and organizational models of institutional childcare: Analyses of the status quo and proposals for reform]. Neuwied, Germany: Luchterhand.Google Scholar
  57. Lefebvre, P., & Merrigan, P. (2008). Child-care policy and the labor supply of mothers with young children: A natural experiment from Canada. Journal of Labor Economics, 26, 519–548.CrossRefGoogle Scholar
  58. Lutz, W. (2014). A population policy rationale for the twenty-first century. Population and Development Review, 40, 527–544.CrossRefGoogle Scholar
  59. Lutz, W., Butz, W. P., & KC, S. (2014). World population and human capital in the twenty-first century. Oxford, UK: Oxford University Press.Google Scholar
  60. Mamier, J., Pluto, L., van Santen, E., Seckinger, M., & Zink, G. (2002). Jugendhilfe und sozialer wandel [Youth welfare and social change]. DJI Bulletin, 59, 4–7.Google Scholar
  61. McCrary, J. (2008). Manipulation of the running variable in the regression discontinuity design: A density test. Journal of Econometrics, 142, 698–714.CrossRefGoogle Scholar
  62. Nollenberger, N., & Rodríguez-Planas, N. (2015). Full-time universal childcare in a context of low maternal employment: Quasi-experimental evidence from Spain. Labour Economics, 36, 124–136.CrossRefGoogle Scholar
  63. Nores, M., & Barnett, W. S. (2010). Benefits of early childhood interventions across the world: (Under) Investing in the very young. Economics of Education Review, 29, 271–282.CrossRefGoogle Scholar
  64. OECD. (2002). Education at a glance 2002. Paris, France: Organisation for Economic Co-Operation and Development.CrossRefGoogle Scholar
  65. OECD. (2011). Doing better for families. Paris, France: Organisation for Economic Co-Operation and Development.CrossRefGoogle Scholar
  66. OECD. (2016a). OECD family database: Fertility rates. Paris, France: OECD Social Policy Division, Directorate of Employment, Labour and Social Affairs.Google Scholar
  67. OECD. (2016b). OECD family database: Maternal employment. Paris, France: OECD Social Policy Division, Directorate of Employment, Labour and Social Affairs.Google Scholar
  68. OECD. (2017). OECD family database: Enrolment in childcare and pre-school. Paris, France: OECD Social Policy Division, Directorate of Employment, Labour and Social Affairs.Google Scholar
  69. Pei, Z., Pischke, J.-S., & Schwandt, H. (2019). Poorly measured confounders are more useful on the left than on the right. Journal of Business and Economic Statistics, 37, 205–216.CrossRefGoogle Scholar
  70. Rege, M., Solli, I. F., Størksen, I., & Votruba, M. (2018). Variation in center quality in a universal publicly subsidized and regulated childcare system. Labour Economics, 55, 230–240.CrossRefGoogle Scholar
  71. Rubin, D. B. (2001). Using propensity scores to help design observational studies: Application to the tobacco litigation. Health Services & Outcomes Research Methodology, 2, 169–188.CrossRefGoogle Scholar
  72. Ruhm, C., & Waldfogel, J. (2012). Long-term effects of early childhood care and education. Nordic Economic Policy Review, 1(1), 23–51.Google Scholar
  73. Scheiwe, K., & Willekens, H. (2009). Child care and preschool development in Europe: Institutional perspectives. Basingstoke, UK: Palgrave Macmillan.CrossRefGoogle Scholar
  74. Schneeweis, N., & Zweimüller, M. (2014). Early tracking and the misfortune of being young. Scandinavian Journal of Economics, 116, 394–428.CrossRefGoogle Scholar
  75. Shonkoff, J. P., & Phillips, D. A. (Eds.). (2000). From neurons to neighborhoods: The science of early childhood development. Washington, DC: National Academies Press.Google Scholar
  76. Skopek, J., Pink, S., & Bela, D. (2013). Starting cohort 4: Grade 9 (SC4). SUF Version 1.1.0. data manual (NEPS research data paper). Bamberg, Germany: University of Bamberg, National Educational Panel Study.Google Scholar
  77. Taylor, K. (2017, May 10). Is “3-K for all” good for all? De Blasio’s preschool plan troubles some. The New York Times. Retrieved from https://www.nytimes.com/2017/05/10/nyregion/free-preschool-deblasio-new-york-city.html
  78. Wagner, G. G., Frick, J. R., & Schupp, J. (2007). The German Socio-Economic Panel Study (SOEP)—Scope, evolution and enhancements. Schmollers Jahrbuch: Journal of Applied Social Science Studies, 127, 139–169.Google Scholar

Copyright information

© Population Association of America 2020

Authors and Affiliations

  1. 1.Universität Duisburg-EssenEssenGermany
  2. 2.IZA Institute of Labor EconomicsBonnGermany
  3. 3.Institute for Employment Research (IAB)NurembergGermany

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