Experimental Economics

, Volume 15, Issue 1, pp 58–70 | Cite as

Health effects on children’s willingness to compete



The formation of human capital is important for a society’s welfare and economic success. Recent literature shows that child health can provide an important explanation for disparities in children’s human capital development across different socio-economic groups. While this literature focuses on cognitive skills as determinants of human capital, it neglects non-cognitive skills. We analyze data from economic experiments with preschoolers and their mothers to investigate whether child health can explain developmental gaps in children’s non-cognitive skills. Our measure for children’s non-cognitive skills is their willingness to compete with others. Our findings suggest that health problems are negatively related to children’s willingness to compete and that the effect of health on competitiveness differs with socio-economic background. Health has a strongly negative effect in our sub-sample with low socio-economic background, whereas there is no effect in our sub-sample with high socio-economic background.


Willingness to compete Non-cognitive skills Human capital Health Household survey studies 

JEL Classification

C90 I10 J24 


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  1. Aughinbaugh, A., & Gittleman, M. (2003). Does money matter? A comparison of the effect of income on child development in the United States and Great Britain. The Journal of Human Resources, 38(2), 416–40. CrossRefGoogle Scholar
  2. Benjamin, D. J., Brown, S. A., & Shapiro, J. M. (2007). Who is ‘behavioral’? Cognitive Ability and Anomalous Preferences. SSRN-Working Paper No. 675264. Google Scholar
  3. Bettinger, E., & Slonim, R. (2007). Patience among children. Journal of Public Economics, 91, 343–363. CrossRefGoogle Scholar
  4. Black, S. E., Devereux, P. J., & Salvanes, K. G. (2005). The more the merrier? The effect of family size and birth order on children’s education. The Quarterly Journal of Economics, 120(2), 669–700. Google Scholar
  5. Blau, D. (1999). The effect of income on child development. Review of Economics and Statistics, 81, 261–76. CrossRefGoogle Scholar
  6. Case, A., Lubotsky, D., & Paxson, C. (2002). Economic status and health in childhood: the origins of the gradient. The American Economic Review, 92, 1308–34. CrossRefGoogle Scholar
  7. Case, A., Fertig, A., & Paxson, C. (2005). The lasting impact of childhood health and circumstance. Journal of Health Economics, 24, 365–89. CrossRefGoogle Scholar
  8. Cunha, F., & Heckman, J. (2007). The technology of skill formation. The American Economic Review, 97(2), 31–47. CrossRefGoogle Scholar
  9. Cunha, F., & Heckman, J. (2009). The economics and psychology of inequality and human development. Journal of the European Economic Association, 7(2-3), 320–364. CrossRefGoogle Scholar
  10. Currie, A., Shields, M., & Price, S. (2007). Is the child health/family income gradient universal? Evidence from England. Journal of Health Economics, 26, 212–32. CrossRefGoogle Scholar
  11. Currie, J. (2009). Healthy, wealthy and wise: socio-economic status, poor health in childhood, and human capital development. Journal of Economic Literature, 47(1), 87–122. CrossRefGoogle Scholar
  12. Currie, J., & Stabile, M. (2003). Socio-economic status and child health: why is the relationship stronger for older children? The American Economic Review, 93, 1813–23. CrossRefGoogle Scholar
  13. Currie, J., Stabile, M., Manivong, P., & Roos, L. (2010). Child health and young adult outcomes. The Journal of Human Resources, 45(3), 517–548. Google Scholar
  14. Dohmen, T., Falk, A., Huffman, D., & Sunde, U. (2009). Homo reciprocans: survey evidence on behavioral outcomes. Economic Journal, 119, 592–612. CrossRefGoogle Scholar
  15. Dohmen, T., Falk, A., Huffman, D., & Sunde, U. (2010). Are risk aversion and impatience related to cognitive ability? The American Economic Review, 100(3), 1238–1260. CrossRefGoogle Scholar
  16. Dustmann, C., Rajah, N., & van Soest, A. (2003). Class size, education and wages. Economic Journal, 113, 99–120. CrossRefGoogle Scholar
  17. Frederick, S. (2005). Cognitive reflection and decision making. The Journal of Economic Perspectives, 19(4), 24–42. CrossRefGoogle Scholar
  18. German Federal Statistical Office (2004). Krankenversicherung in Deutschland. Sonderauswertung des Mikrozensus 2003. Wiesbaden. Google Scholar
  19. Goodman, R. (2001). Psychometric properties of the strengths and difficulties questionnaire (SDQ). Journal of the American Academy of Child and Adolescent Psychiatry, 40, 1337–45. CrossRefGoogle Scholar
  20. Heckman, J. J. (2007). The economics, technology, and neuroscience of human capability formation. Proceedings of the National Academy of Sciences of the United States of America, 104, 13250–55. CrossRefGoogle Scholar
  21. Heckman, J., Stixrud, J., & Urzua, S. (2006). The effects of cognitive and non-cognitive abilities on labor market outcomes and social behavior. Journal of Labor Economics, 24(3), 411–82. CrossRefGoogle Scholar
  22. Hoffrage, U., Weber, A., Hertwig, R., & Chase, V. M. (2003). How to keep children safe in traffic: find the daredevils early. Journal of Experimental Psychology. Applied, 9, 249–60. CrossRefGoogle Scholar
  23. Knight, Jonathan (2002). Sexual stereotypes. Nature, 415, 254–56. CrossRefGoogle Scholar
  24. Knudsen, Eric I., Heckman, James J., Cameron, Judy L., & Shonkoff, Jack P. (2006). Economic, neurobiological, and behavioral perspectives on building America’s future workforce. Proceedings of the National Academy of Sciences of the United States of America, 103(27), 10155–62. CrossRefGoogle Scholar
  25. Kromeyer-Hauschild, K., Wabitsch, M., Kunze, D., Geller, F., Geiß, H. C., Hesse, V., von Hippel, A., Jaeger, U., Johnsen, D., Korte, W., Menner, K., Müller, G., Müller, J. M., Niemann-Pilatus, A., Remer, T., Schaefer, F., Wittchen, H.-U., Zabransky, S., Zellner, K., Ziegler, A., & Hebebrand, J. (2001). Perzentile für den Body-Mass-Index für das Kindes- und Jugendalter unter Heranziehung verschiedener deutscher Stichproben. Monatsschrift für Kinderheilkunde, 149(8), 807–18. CrossRefGoogle Scholar
  26. Little, R. J. A., & Rubin, D. B. (2002). Statistical analysis with missing data. New York: Wiley. Google Scholar
  27. Niederle, M., & Vesterlund, L. (2007). Do women shy away from competition? Do men compete to much? The Quarterly Journal of Economics, 122(3), 1067–1101. CrossRefGoogle Scholar
  28. Paxson, C., & Schady, N. (2007). Cognitive development among young children in Ecuador. The Journal of Human Resources, 42, 49–84. Google Scholar
  29. Shonkoff, J., & Phillips, D. (2000). From neurons to neighbourhoods: the science of early childhood development. Washington: National Academic Press. Google Scholar
  30. Salm, M., & Schunk, D. (2011). The relationship between child health, developmental gaps, and parental education: evidence from administrative data. Journal of the European Economic Association (forthcoming). Google Scholar
  31. Sutter, M., & Rützler, D. (2010). Gender differences in competition emerge early in life. IZA Discussion Paper 5015. IZA, Bonn, Germany. Google Scholar
  32. Taylor, B. A., Dearing, E., & McCartney, K. (2004). Incomes and outcomes in early childhood. The Journal of Human Resources, 39(4), 980–1007. CrossRefGoogle Scholar
  33. Tietze, W., Rossbach, H.-G., & Grenner, K. (2005). Kinder von 4 bis 8 Jahren. Zur Qualität der Erziehung und Bildung in Kindergarten, Grundschule und Familie. Weinheim and Basel: Beltz. Google Scholar
  34. Wagner, G. G., Frick, J. R., & Schupp, J. (2007). The German Socio-Economic Panel Study (SOEP)—scope, evolution and enhancements. Schmollers Jahrbuch, 127(1), 139–169. Google Scholar
  35. Woerner, W., Becker, A., & Rothenberger, A. (2004). Normative data and scale properties of the German parent SDQ. European Child & Adolescent Psychiatry, 13, 3–10. Google Scholar
  36. World Health Organization (2007). International Statistical Classification of Diseases (ICD). http://www.who.int/classifications/apps/icd/icd10online/?gp05.htm+p05. Accessed February 1, 2010.

Copyright information

© Economic Science Association 2011

Authors and Affiliations

  1. 1.Department of EconomicsUniversity of ZurichZurichSwitzerland
  2. 2.Department of Economics and Laboratory for Social and Neural Systems ResearchUniversity of ZurichZurichSwitzerland
  3. 3.Department of EconomicsUniversity of MainzMainzGermany

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