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The Persistence of Teacher-Induced Learning

Author

Listed:
  • Brian A. Jacob
  • Lars Lefgren
  • David P. Sims

Abstract

This paper constructs a statistical model of learning that suggests a systematic way of measuring the persistence of treatment effects in education. This method is straightforward to implement, allows for comparisons across educational treatments, and can be related to intuitive benchmarks. We demonstrate the methodology using student-teacher linked administrative data for North Carolina to examine the persistence of teacher quality. We find that teacher-induced learning has low persistence, with three-quarters or more fading out within one year. Other measures of teacher quality produce similar or lower persistence estimates.

Suggested Citation

  • Brian A. Jacob & Lars Lefgren & David P. Sims, 2010. "The Persistence of Teacher-Induced Learning," Journal of Human Resources, University of Wisconsin Press, vol. 45(4), pages 915-943.
    • Handle: RePEc:uwp:jhriss:v:45:y:2010:i:4:p:915-943
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    References listed on IDEAS

    as
    1. Tahir Andrabi & Jishnu Das & Asim Ijaz Khwaja & Tristan Zajonc, 2011. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 29-54, July.
    2. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2007. "How and Why do Teacher Credentials Matter for Student Achievement?," NBER Working Papers 12828, National Bureau of Economic Research, Inc.
    3. Daniel Aaronson & Lisa Barrow & William Sander, 2007. "Teachers and Student Achievement in the Chicago Public High Schools," Journal of Labor Economics, University of Chicago Press, vol. 25(1), pages 95-135.
    4. Scott E. Carrell & James E. West, 2010. "Does Professor Quality Matter? Evidence from Random Assignment of Students to Professors," Journal of Political Economy, University of Chicago Press, vol. 118(3), pages 409-432, June.
    5. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, Oxford University Press, vol. 114(2), pages 533-575.
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