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Detracking America's schools: Equity at zero cost?

Author

Listed:
  • Laura M. Argys

    (University of Colorado at Denver, Denver, Colorado)

  • Daniel I. Rees

    (University of Colorado at Denver, Denver, Colorado)

  • Dominic J. Brewer

    (Associate Economist at RAND)

Abstract

Schools across the country are ending the practice of grouping students based on ability, in part, because of research indicating that tracking hurts low-ability students without helping students of other ability levels. Using a nationally representative survey conducted by the National Center for Education Statistics, (NCES) we reexamine the impact of tracking on high school student achievement through the estimation of a standard education production function. This approach allows us to control for the possibility that track is correlated with factors such as class size and teacher education. In addition, we address the possibility that there are unobserved student or school characteristics that affect both achievement and track placement. Our results indicate that abolishing tracking in America's schools would have a large positive impact on achievement for students currently in the lower tracks, but that this increase in achievement would come at the expense of students in upper-track classes.

Suggested Citation

  • Laura M. Argys & Daniel I. Rees & Dominic J. Brewer, 1996. "Detracking America's schools: Equity at zero cost?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 15(4), pages 623-645.
  • Handle: RePEc:wly:jpamgt:v:15:y:1996:i:4:p:623-645
    DOI: 10.1002/(SICI)1520-6688(199623)15:4<623::AID-PAM7>3.0.CO;2-J
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    References listed on IDEAS

    as
    1. Ehrenberg, Ronald G. & Brewer, Dominic J., 1994. "Do school and teacher characteristics matter? Evidence from High School and Beyond," Economics of Education Review, Elsevier, vol. 13(1), pages 1-17, March.
    2. Eric A. Hanushek, 1979. "Conceptual and Empirical Issues in the Estimation of Educational Production Functions," Journal of Human Resources, University of Wisconsin Press, vol. 14(3), pages 351-388.
    3. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    4. Rees, Daniel I. & Argys, Laura M. & Brewer, Dominic J., 1996. "Tracking in the United States: Descriptive statistics from NELS," Economics of Education Review, Elsevier, vol. 15(1), pages 83-89, February.
    5. Summers, Anita A & Wolfe, Barbara L, 1977. "Do Schools Make a Difference?," American Economic Review, American Economic Association, vol. 67(4), pages 639-652, September.
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