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Working during School and Academic Performance

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Author Info

  • Ralph Stinebrickner

    (Berea College)

  • Todd R. Stinebrickner

    (University of Western Ontario)

Abstract

Unique new data from a college with a mandatory work-study program are used to examine the relationship between working during school and academic performance. Particular attention is paid to the importance of biases that are potentially present because the number of hours that are worked is endogenously chosen by the individual. The results suggest that, even if results appear reasonable, a researcher should be cautious when drawing policy conclusions about the relationship between hours worked and a particular outcome of interest unless he or she is confident that potential problems associated with the endogeneity of hours have been adequately addressed.

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Bibliographic Info

Article provided by University of Chicago Press in its journal Journal of Labor Economics.

Volume (Year): 21 (2003)
Issue (Month): 2 (April)
Pages: 449-472

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Handle: RePEc:ucp:jlabec:v:21:y:2003:i:2:p:449-472

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References

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  1. Ronald G. Ehrenberg & Daniel R. Sherman, 1987. "Employment While in College, Academic Achievement and Post-College Outcomes: A Summary of Results," NBER Working Papers 1742, National Bureau of Economic Research, Inc.
  2. Imbens, G. & Angrist, J.D., 1992. "Average Causal Response with Variable Treatment Intensity," Harvard Institute of Economic Research Working Papers 1611, Harvard - Institute of Economic Research.
  3. V. Joseph Hotz & Lixin Xu & Marta Tienda & Avner Ahituv, 1999. "Are There Returns to the Wages of Young Men from Working While in School?," NBER Working Papers 7289, National Bureau of Economic Research, Inc.
  4. Ruhm, Christopher J, 1997. "Is High School Employment Consumption or Investment?," Journal of Labor Economics, University of Chicago Press, vol. 15(4), pages 735-76, October.
  5. Todd R. Stinebrickner & Ralph Stinebrickner, 2000. "The Relationship Between Family Income and Schooling Attainment: Evidence from a Liberal Arts College with a Full Tuition Subsidy Program," UWO Department of Economics Working Papers 20008, University of Western Ontario, Department of Economics.
  6. Duncan, Greg J & Hill, Daniel H, 1985. "An Investigation of the Extent and Consequences of Measurement Error in Labor-Economic Survey Data," Journal of Labor Economics, University of Chicago Press, vol. 3(4), pages 508-32, October.
  7. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-75, March.
  8. James Heckman & Edward Vytlacil, 1998. "Instrumental Variables Methods for the Correlated Random Coefficient Model: Estimating the Average Rate of Return to Schooling When the Return is Correlated with Schooling," Journal of Human Resources, University of Wisconsin Press, vol. 33(4), pages 974-987.
  9. Eckstein, Zvi & Wolpin, Kenneth, 1998. "Youth Employment and Academic Performance in High School," IZA Discussion Papers 18, Institute for the Study of Labor (IZA).
  10. Light, Audrey, 2001. "In-School Work Experience and the Returns to Schooling," Journal of Labor Economics, University of Chicago Press, vol. 19(1), pages 65-93, January.
  11. Newey, Whitney K, 1985. "Maximum Likelihood Specification Testing and Conditional Moment Tests," Econometrica, Econometric Society, vol. 53(5), pages 1047-70, September.
  12. Light, Audrey, 1998. "Estimating Returns to Schooling: When Does the Career Begin?," Economics of Education Review, Elsevier, vol. 17(1), pages 31-45, February.
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