Journal of Population Economics

, Volume 25, Issue 2, pp 697–739 | Cite as

The younger, the better? Age-related differences in academic performance at university

Original Paper

Abstract

In this paper, we investigate differences in academic performance among students of different ages within the same cohorts using a unique database of students at Bocconi University. Our data allow to control for potential selection effects as well as for differences in cognitive ability, as measured by an attitudinal entry test. Contrary to most of the existing evidence for younger pupils, we document that at the undergraduate level, youngest students perform better compared with their oldest peers. This finding is only partly explained by differences in cognitive ability and rather seems to be associated with differences in social activities.

Keywords

Age effects Cognitive ability Academic performance 

JEL Classification

J1 I23 I24 

Supplementary material

148_2011_379_MOESM1_ESM.pdf (72 kb)
(PDF 71.9 KB)

References

  1. Allen J, Barnsley R (1993) Streams and tiers: the interaction of ability, maturity and training in systems with age-dependent recursive selection. J Hum Resour 28(3):649–659CrossRefGoogle Scholar
  2. Altonji J, Card D (1991) The effects of immigration on the labor market outcomes of less-skilled natives. In: Abowd J, Freeman RB (eds) Immigration, trade and labor. University of Chicago Press, ChicagoGoogle Scholar
  3. Anger S, Heineck G (2010) Do smart parents raise smart children? The intergenerational transmission of cognitive abilities. J Popul Econ 23(3):1105–1132CrossRefGoogle Scholar
  4. Angrist JD, Pischke JS (2009) Mostly harmless econometrics: an empiricist’s companion. Princeton University Press, PrincetonGoogle Scholar
  5. Barnsley RH, Legault P, Thompson AH (1992) Family planning: football style, the relative age effect in football. Int Rev Sociol Sport 27(1):77–88CrossRefGoogle Scholar
  6. Bedard K, Dhuey E (2006) The persistence of early childhood maturity: international evidence of long-run age effects. Q J Econ 121(4):1437–1472Google Scholar
  7. Berlinski S, Galiani S, Manacorda M (2008) Giving children a better start: preschool attendance and school-age profiles. J Public Econ 92(5–6):1416–1440CrossRefGoogle Scholar
  8. Berlinski S, Galiani S, Gertler P (2009) The effect of pre-primary education on primary school performance. J Public Econ 93(1–2):219–234CrossRefGoogle Scholar
  9. Billari FC, Caltabiano M, Dalla Zuanna G (2007) Sexual and affective behaviour of students. An international research. Cleup Editrice, PadovaGoogle Scholar
  10. Black SE, Devereux PJ, Salvanes KG (2009) Too young to leave the nest? The effects of school starting age. NBER working paper: 13969Google Scholar
  11. Buckles K, Hungermann DM (2008) Season of birth and later outcomes: old questions, new answers. NBER working paper: 14573Google Scholar
  12. Card D (2001) Immigration inflows, native outflows and the local market impacts of higher immigration. J Labor Econ 19(1):22–64CrossRefGoogle Scholar
  13. Card D (2005) Is the new immigration really so bad? Econ J 115:F300–F323CrossRefGoogle Scholar
  14. Carneiro PM, Heckman JJ (2003) Human capital policy. In: Heckman J, Krueger A (eds) Inequality in America: what role for human capital policy. MIT Press, CambridgeGoogle Scholar
  15. Crawford C, Dearden L, Meghir C (2007) When you are born matters: the impact of the date of birth on child cognitive outcomes in England. Institute for Fiscal Studies, LondonGoogle Scholar
  16. Cunha F, Heckman JJ (2007) The technology of skill formation. Am Econ Rev 97(2):31–47CrossRefGoogle Scholar
  17. Cunha F, Heckman JJ (2010) Investing in our young people. NBER working paper: 16202Google Scholar
  18. Dhuey E, Lipscomb S (2006) What makes a leader? Relative age and high school leadership. Econ Educ Rev 27(2):173–183CrossRefGoogle Scholar
  19. Dudink A (1994) Birth date and sporting success. Nature 368:592CrossRefGoogle Scholar
  20. Elder TE, Lubotsky DH (2009) Kindergarten entrance age and children’s achievement: impacts of state policies, family background and peers. J Hum Resour 44(3):641–683Google Scholar
  21. Fredriksson P, Ockert B (2005) Is early learning really more productive? The effect od school starting age on school labor market performance. IZA discussion paper: 1658Google Scholar
  22. Garibaldi P, Giavazzi F, Ichino A, Rettore E (2011) College cost and time to complete a degree: evidence form tuition discontinuities. Rev Econ Stat (in press)Google Scholar
  23. Goodman A, Sianesi B (2005) Early education and children’s outcomes: how long do the impact last? Fisc Stud 26(4):513–548CrossRefGoogle Scholar
  24. Heckman JJ, Masterov DV (2007) The productivity argument for investing in young children. Rev Agric Econ 29(3):446–493CrossRefGoogle Scholar
  25. Helsen WF, van Winckel J, Williams MA (2005) The relative age effect in youth soccer across Europe. J Sports Sci 23(6):629–636CrossRefGoogle Scholar
  26. Imbens GW, Angrist JD (1994) Identification and estimation of local average treatment effects. Econometrica 62(2):467–475CrossRefGoogle Scholar
  27. Jones BF (2010) Age and great invention. Rev Econ Stat 92(1):1–14CrossRefGoogle Scholar
  28. Lutz W, Skirbekk V (2005) Policies addressing the tempo effect in low-fertility countries. Popul Dev Rev 31(4):699–720CrossRefGoogle Scholar
  29. Mayer SE, Knutson D (1999) Does the timing of school affect how much children learn? In: Mayer SE, Peterson PE (eds) Earning and learning: how school matter, chap 4. Brookings Institution, Washington, pp 79–102Google Scholar
  30. McEwan PJ, Shapiro JS (2008) The benefits of delayed primary school enrollment. discontinuity estimates using exact birth dates. J Hum Resour 43(1):1–29Google Scholar
  31. Moulton BR (1990) An illustration of the pitfall in estimating the effects of aggregate variables on micro units. Rev Econ Stat 72(2):334–338CrossRefGoogle Scholar
  32. Persico N, Postlewaite A, Silverman D (2004) The effect of adolescent experience on labor market outcomes: the case of height. J Polit Econ 112(5):1019–1053CrossRefGoogle Scholar
  33. Rizzi EL, Dalla Zuanna G (2007) The seasonality of conception. Demography 44(4):705–728CrossRefGoogle Scholar
  34. Salthouse TA, Schroeder DH, Ferrer E (2004) Estimating retest effects in longitudinal assessments of cognitive functioning in adults between 18 and 60 years of age. Dev Psychol 40(5):813–822CrossRefGoogle Scholar
  35. Skirbekk V (2005) Why not start younger? Implications of the timing and duration of schooling for fertility, human capital, productivity and public pensions. International Institute for Applied Systems Analysis, LaxenburgGoogle Scholar
  36. Skirbekk V, Kohler H, Prskawetz A (2004) Birth month, school graduation and the timing of births and marriages. Demography 41(3):547–568CrossRefGoogle Scholar
  37. Staiger D, Stock JH (1997) Instrumental variable regressions with weak instruments. Econometrica 65(3):557–586CrossRefGoogle Scholar
  38. Thompson AH, Barnsley RH, Battle J (2004) The relative age effect and the development of self-esteem. Educ Res 46(3):313–320CrossRefGoogle Scholar
  39. Wilson G (2000) The effects of season of birth, sex and cognitive abilities on the assessment of special educational needs. Educ Psychol 20(2):153–166CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Michele Pellizzari
    • 1
    • 2
    • 3
    • 4
    • 5
  • Francesco C. Billari
    • 2
    • 4
    • 6
  1. 1.Department of EconomicsBocconi UniversityMilanItaly
  2. 2.IGIERMilanItaly
  3. 3.IZABonnGermany
  4. 4.“Carlo F. Dondena” Centre for Research on Social DynamicsMilanItaly
  5. 5.Fondazione Rodolfo DebenedettiMilanItaly
  6. 6.Department of Policy Analysis and Public ManagementBocconi UniversityMilanItaly

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