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Parental Education and Child Health: Evidence from a Schooling Reform

  • Lindeboom, Maarten

    ()

    (VU University Amsterdam)

  • Llena-Nozal, Ana

    ()

    (OECD)

  • van der Klaauw, Bas

    ()

    (VU University Amsterdam)

This paper investigates the impact of parental education on child health outcomes. To identify the causal effect we explore exogenous variation in parental education induced by a schooling reform in 1947, which raised the minimum school leaving age in the UK. Findings based on data from the National Child Development Study suggest that postponing the school leaving age by one year had little effect on the health of their offspring. Schooling did however improve economic opportunities by reducing financial difficulties among households. We conclude from this that the effects of parental income on child health are at most modest.

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File URL: http://ftp.iza.org/dp2516.pdf
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Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 2516.

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Length: 31 pages
Date of creation: Dec 2006
Date of revision:
Publication status: published in: Journal of Health Economics 2009, 28 (1), 109-131
Handle: RePEc:iza:izadps:dp2516
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  1. Anne Case & Darren Lubotsky & Christina Paxson, 2001. "Economic Status and Health in Childhood: The Origins of the Gradient," NBER Working Papers 8344, National Bureau of Economic Research, Inc.
  2. Justin McCrary & Heather Royer, 2006. "The Effect of Female Education on Fertility and Infant Health: Evidence from School Entry Policies Using Exact Date of Birth," NBER Working Papers 12329, National Bureau of Economic Research, Inc.
  3. Jörn-Steffen Pischke & Till von Wachter, 2006. "Zero Returns to Compulsory Schooling in Germany: Evidence and Interpretation," CEE Discussion Papers 0054, Centre for the Economics of Education, LSE.
  4. Doyle, Orla & Harmon, Colm & Walker, Ian, 2005. "The Impact of Parental Income and Education on the Health of their Children," CEPR Discussion Papers 5359, C.E.P.R. Discussion Papers.
  5. Douglas Staiger & James H. Stock, 1994. "Instrumental Variables Regression with Weak Instruments," NBER Technical Working Papers 0151, National Bureau of Economic Research, Inc.
  6. A Chevalier & C Harmon & V O'Sullivan & I Walker, 2010. "The Impact of Parental Income and Education on the Schooling of their Children," Working Papers 610852, Lancaster University Management School, Economics Department.
  7. Harmon, Colm & Walker, Ian, 1995. "Estimates of the Economic Return to Schooling for the United Kingdom," American Economic Review, American Economic Association, vol. 85(5), pages 1278-86, December.
  8. Arendt, Jacob Nielsen, 2005. "Does education cause better health? A panel data analysis using school reforms for identification," Economics of Education Review, Elsevier, vol. 24(2), pages 149-160, April.
  9. Costas Meghir & Mårten Palme, 2005. "Educational Reform, Ability, and Family Background," American Economic Review, American Economic Association, vol. 95(1), pages 414-424, March.
  10. Ann Huff Stevens & Marianne Page & Philip Oreopoulos, 2005. "The Intergenerational Effects of Compulsory Schooling," Working Papers 519, University of California, Davis, Department of Economics.
  11. Jere R. Behrman & Mark R. Rosenzweig, 2002. "Does Increasing Women's Schooling Raise the Schooling of the Next Generation?," American Economic Review, American Economic Association, vol. 92(1), pages 323-334, March.
  12. Sandra Black & Paul Devereux & Kjell Salvanes, 2004. "Why the apple doesn't fall far: understanding intergenerational transmission of human capital," Working Paper Series 2004-12, Federal Reserve Bank of San Francisco.
  13. Joshua D. Angrist & Guido W. Imbens, 1995. "Identification and Estimation of Local Average Treatment Effects," NBER Technical Working Papers 0118, National Bureau of Economic Research, Inc.
  14. Case, Anne & Fertig, Angela & Paxson, Christina, 2005. "The lasting impact of childhood health and circumstance," Journal of Health Economics, Elsevier, vol. 24(2), pages 365-389, March.
  15. Gerard J. van den Berg & Maarten Lindeboom & France Portrait, 2006. "Economic Conditions Early in Life and Individual Mortality," American Economic Review, American Economic Association, vol. 96(1), pages 290-302, March.
  16. David M. Cutler & Adriana Lleras-Muney, 2006. "Education and Health: Evaluating Theories and Evidence," NBER Working Papers 12352, National Bureau of Economic Research, Inc.
  17. Janet Currie & Mark Stabile, 2003. "Socioeconomic Status and Child Health: Why Is the Relationship Stronger for Older Children?," American Economic Review, American Economic Association, vol. 93(5), pages 1813-1823, December.
  18. Janet Currie & Enrico Moretti, 2003. "Mother'S Education And The Intergenerational Transmission Of Human Capital: Evidence From College Openings," The Quarterly Journal of Economics, MIT Press, vol. 118(4), pages 1495-1532, November.
  19. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863 Elsevier.
  20. Currie, Alison & Shields, Michael A. & Price, Stephen Wheatley, 2007. "The child health/family income gradient: Evidence from England," Journal of Health Economics, Elsevier, vol. 26(2), pages 213-232, March.
  21. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-09, January.
  22. Philip Oreopoulos, 2006. "Estimating Average and Local Average Treatment Effects of Education when Compulsory Schooling Laws Really Matter," American Economic Review, American Economic Association, vol. 96(1), pages 152-175, March.
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