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Teachers, Schools, and Academic Achievement

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  • Steven G. Rivkin
  • Eric A. Hanushek
  • John F. Kain

Abstract

This paper disentangles the impact of schools and teachers in influencing achievement with special attention given to the potential problems of omitted or mismeasured variables and of student and school selection. Unique matched panel data from the UTD Texas Schools Project permit the identification of teacher quality based on student performance along with the impact of specific, measured components of teachers and schools. Semiparametric lower bound estimates of the variance in teacher quality based entirely on within-school heterogeneity indicate that teachers have powerful effects on reading and mathematics achievement, though little of the variation in teacher quality is explained by observable characteristics such as education or experience. The results suggest that the effects of a costly ten student reduction in class size are smaller than the benefit of moving one standard deviation up the teacher quality distribution, highlighting the importance of teacher effectiveness in the determination of school quality. Copyright The Econometric Society 2005.

Suggested Citation

  • Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, March.
    • Handle: RePEc:ecm:emetrp:v:73:y:2005:i:2:p:417-458
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    File URL: http://hdl.handle.net/10.1111/j.1468-0262.2005.00584.x
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    References listed on IDEAS

    as
    1. Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, Oxford University Press, vol. 114(2), pages 497-532.
    2. repec:fth:prinin:357 is not listed on IDEAS
    3. Eric A. Hanushek & Steven G. Rivkin, 1997. "Understanding the Twentieth-Century Growth in U.S. School Spending," Journal of Human Resources, University of Wisconsin Press, vol. 32(1), pages 35-68.
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    5. Michael Boozer & Cecilia Rouse, 1995. "Intraschool Variation in Class Size: Patterns and Implications," NBER Working Papers 5144, National Bureau of Economic Research, Inc.
    6. 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.
    7. Michael Boozer & Cecilia Rouse, 1995. "Intraschool Variation in Class Size: Patterns and Implications," Working Papers 723, Princeton University, Department of Economics, Industrial Relations Section..
    8. Caroline M. Hoxby, 1998. "The Effects of Class Size and Composition on Student Achievement: New Evidence from Natural Population Variation," NBER Working Papers 6869, National Bureau of Economic Research, Inc.
    9. Michael Boozer & Cecilia E. Rouse, 1995. "Intraschool Variation in Class Size: Patterns and Implications," Working Papers 723, Princeton University, Department of Economics, Industrial Relations Section..
    10. David Card & Alan Krueger, 1996. "Labor Market Effects of School Quality: Theory and Evidence," Working Papers 736, Princeton University, Department of Economics, Industrial Relations Section..
    11. John F. Kain & Kraig Singleton, 1996. "Equality of education opportunity revisited," New England Economic Review, Federal Reserve Bank of Boston, issue May, pages 87-114.
    12. Dale Ballou & Michael Podgursky, 1996. "Teacher Pay and Teacher Quality," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number tptq, july-dece.
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    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • H4 - Public Economics - - Publicly Provided Goods

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