Eastern Economic Journal

, Volume 38, Issue 4, pp 512–524 | Cite as

Sleep and Student Achievement

  • Eric R Eide
  • Mark H Showalter
Article

Abstract

We explore the relationship between sleep and student performance on standardized tests. We model test scores as a nonlinear function of sleep, which allows us to compute the hours of sleep associated with maximum test scores. We refer to this as “optimal” hours of sleep. We also evaluate how the sleep and student performance relationship changes with age. We use the Panel Study of Income Dynamics-Child Development Supplement, which includes excellent control variables that are not usually available in sleep studies. We find a statistically significant relationship between sleep and test scores. We also find that optimal hours of sleep decline with age.

Keywords

sleep PSID-CDS test scores academic achievement 

JEL Classifications

I21 J22 J24 

Notes

Acknowledgements

We received very useful comments from participants at the 2007 International Health Economics Association meetings in Copenhagen, Denmark. Taft Foster provided excellent research assistance. We also appreciate the excellent suggestions from two anonymous referees and the editor. This work was partially funded by a grant from the College of Family, Home, and Social Science at Brigham Young University.

References

  1. Becker, Gary S. 2007. Health as Human Capital: Synthesis and Extensions. Oxford Economic Papers, 59: 379–410.CrossRefGoogle Scholar
  2. Brewer, Dominic J., Guilbert C. Hentschke, and Eric R. Eide . 2008. The Role of Economics in Education Policy Research, in Handbook of Research in Education Finance and Policy, edited by Helen F. Ladd and Edward B. Fiske. Lawrence Erlbaum Associates, New York: Routledge.Google Scholar
  3. Carrell, Scott E., Teny Maghakian, and James E. West . 2011. A's from Zzzz's? The Causal Effect of School Start Time on the Academic Achievement of Adolescents. American Economic Journal: Economic Policy, 3 (3): 62–81.Google Scholar
  4. Carskadon, Mary A., Kim Harvey, Paula Duke, Thomas F. Anders, Iris F. Litt, and William C. Dement . 1980. Pubertal Changes in Daytime Sleepiness. Sleep, 2: 453–460.Google Scholar
  5. Converse, Jean M., and Stanley Presser . 1993. Survey Questions: Handcrafting the Standardized Questionnaire, 12th ed., Thousand Oaks, CA: Sage.Google Scholar
  6. Eide, Eric R., and Mark H. Showalter . 2011. Estimating the Relation Between Health and Education: What Do We Know and What Do We Need to Know? Economics of Education Review, 30: 775–777.CrossRefGoogle Scholar
  7. Grossman, Michael 1972. On the Concept of Health Capital and the Demand for Health. Journal of Political Economy, 80: 223–255.CrossRefGoogle Scholar
  8. Hillman, David R., Anita Scott Murphy, Ral Antic, and Lynne Pezzullo . 2006. The Economic Cost of Sleep Disorders. Sleep, 29: 299–305.Google Scholar
  9. Hinrichs, Peter 2011. When the Bell Tolls: The Effects of School Starting Times on Academic Achievement. Education Finance and Policy, 6: 486–507.CrossRefGoogle Scholar
  10. Mitru, George, Dan Millrood, and Jason H. Mateika . 2002. The Impact of Sleep on Learning and Behavior in Adolescents. Teachers College Record, 104: 704–726.CrossRefGoogle Scholar
  11. National Sleep Foundation. 2000. Adolescent Sleep Needs and Patterns: Research Report and Resource Guide, Washington DC.Google Scholar
  12. Reardon, Sean F., and Joseph P. Robinson . 2008. Patterns and Trends in Racial/Ethnic and Socioeconomic Academic Achievement Gaps, in Handbook of Research in Education Finance and Policy, edited by Helen F. Ladd and Edward B. Fiske. Lawrence Erlbaum Associates, New York: Routledge.Google Scholar
  13. Sadeh, Avi, Reut Gruber, and Amirim Raviv . 2003. The Effects of Sleep Restriction and Extension on School-Age Children: What a Difference an Hour Makes. Child Development, 74: 444–455.CrossRefGoogle Scholar
  14. StataCorp. 2009. Stata: Release 11. Statistical Software. College Station, TX: StataCorp LP.Google Scholar
  15. Taras, Howard, and William Potts-Datema . 2005. Sleep and Student Performance at School. Journal of School Health, 75: 248–254.CrossRefGoogle Scholar
  16. Wolfson, Amy R., and Mary A. Carskadon . 1998. Sleep Schedules and Daytime Functioning in Adolescents. Child Development, 69: 875–887.CrossRefGoogle Scholar
  17. Wolfson, Amy R., and Mary A. Carskadon . 2003. Understanding Adolescents’ Sleep Patterns and School Performance: A Critical Appraisal. Sleep Medicine Reviews, 7: 491–506.CrossRefGoogle Scholar
  18. Wolfson, Amy R., Mary A. Carskadon, Christine Acebo, Ronald Seifer, Gahan Fallone, Susan E. Labyak, and Jennifer C. Martin . 2003. Evidence for the Validity of a Sleep Habits Survey for Adolescents. Sleep, 26: 213–216.Google Scholar
  19. Woodcock, Richard W., and M.B. Johnson . 1989. Woodcock-Johnson Psycho-Educational Battery — Revised. Allen, TX: DLM Teaching Resources.Google Scholar
  20. Wooldridge, Jeffrey M. 2008. Introductory Econometrics: A Modern Approach, 4th ed., Mason, OH: South-Western.Google Scholar

Copyright information

© Eastern Economic Association 2012

Authors and Affiliations

  • Eric R Eide
    • 1
  • Mark H Showalter
    • 1
  1. 1.Department of EconomicsBrigham Young UniversityProvoUSA

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