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Can No Child Left Behind Close The Gaps In Pass Rates On Standardized Tests?

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  • CLAUS M. HOERANDNER
  • ROBERT J. LEMKE

Abstract

No Child Left Behind is the most recent federal legislation aimed at eliminating perceived achievement gaps across sociodemographic groups of students in the United States. This article quantifies the degree to which the worst‐performing schools can be expected to narrow these gaps by increasing spending to purchase inputs according to better‐performing schools. Using data on elementary schools in Illinois, the authors find that 30–50% of the gap is due to uncontrollable school characteristics, such as the racial composition of students. Characteristics that schools can control, such as hiring more teachers, account for 10–25% of the gap. (JEL I21, I22, I23)

Suggested Citation

  • Claus M. Hoerandner & Robert J. Lemke, 2006. "Can No Child Left Behind Close The Gaps In Pass Rates On Standardized Tests?," Contemporary Economic Policy, Western Economic Association International, vol. 24(1), pages 1-17, January.
  • Handle: RePEc:bla:coecpo:v:24:y:2006:i:1:p:1-17
    DOI: 10.1093/cep/byj008
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    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. Card, David & Payne, A. Abigail, 2002. "School finance reform, the distribution of school spending, and the distribution of student test scores," Journal of Public Economics, Elsevier, vol. 83(1), pages 49-82, January.
    3. Driscoll, Donna & Halcoussis, Dennis & Svorny, Shirley, 2003. "School district size and student performance," Economics of Education Review, Elsevier, vol. 22(2), pages 193-201, April.
    4. Thomas J. Kane & Douglas O. Staiger, 2002. "The Promise and Pitfalls of Using Imprecise School Accountability Measures," Journal of Economic Perspectives, American Economic Association, vol. 16(4), pages 91-114, Fall.
    5. Charles Jacques & B. Wade Brorsen, 2002. "Relationship between types of school district expenditures and student performance," Applied Economics Letters, Taylor & Francis Journals, vol. 9(15), pages 997-1002.
    6. Caroline M. Hoxby, 2000. "The Effects of Class Size on Student Achievement: New Evidence from Population Variation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(4), pages 1239-1285.
    7. Andrew Reschovsky & Jennifer Imazeki, 2003. "Let No Child Be Left Behind: Determining the Cost of Improving Student Performance," Public Finance Review, , vol. 31(3), pages 263-290, May.
    8. Caroline Minter Hoxby, 1996. "How Teachers' Unions Affect Education Production," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(3), pages 671-718.
    9. Sander, William, 1999. "Endogenous expenditures and student achievement," Economics Letters, Elsevier, vol. 64(2), pages 223-231, August.
    10. Ladd, Helen F., 2001. "School-Based Educational Accountability Systems: The Promise and the Pitfalls," National Tax Journal, National Tax Association;National Tax Journal, vol. 54(2), pages 385-400, June.
    11. Figlio, David N., 1999. "Functional form and the estimated effects of school resources," Economics of Education Review, Elsevier, vol. 18(2), pages 241-252, April.
    12. Ladd, Helen F., 2001. "School-Based Educational Accountability Systems: The Promise and the Pitfalls," National Tax Journal, National Tax Association, vol. 54(n. 2), pages 385-400, June.
    13. Dennis Coates, 2003. "Education production functions using instructional time as an input," Education Economics, Taylor & Francis Journals, vol. 11(3), pages 273-292.
    14. Murnane, Richard J. & Levy, Frank, 2001. "Will Standards-Based Reforms Improve the Education of Students of Color?," National Tax Journal, National Tax Association, vol. 54(n. 2), pages 401-16, June.
    15. Murnane, Richard J. & Levy, Frank, 2001. "Will Standards-Based Reforms Improve the Education of Students of Color?," National Tax Journal, National Tax Association;National Tax Journal, vol. 54(2), pages 401-416, June.
    16. Daniel M. Koretz, 2002. "Limitations in the Use of Achievement Tests as Measures of Educators' Productivity," Journal of Human Resources, University of Wisconsin Press, vol. 37(4), pages 752-777.
    17. Aksoy, Tevfik & Link, Charles R., 2000. "A panel analysis of student mathematics achievement in the US in the 1990s: does increasing the amount of time in learning activities affect math achievement?," Economics of Education Review, Elsevier, vol. 19(3), pages 261-277, June.
    18. Cook, Michael D & Evans, William N, 2000. "Families or Schools? Explaining the Convergence in White and Black Academic Performance," Journal of Labor Economics, University of Chicago Press, vol. 18(4), pages 729-754, October.
    19. Valentina A. Bali & R. Michael Alvarez, 2003. "Schools and Educational Outcomes: What Causes the “Race Gap” in Student Test Scores?," Social Science Quarterly, Southwestern Social Science Association, vol. 84(3), pages 485-507, September.
    20. Iatarola, P. & Stiefel, L., 2003. "Intradistrict equity of public education resources and performance," Economics of Education Review, Elsevier, vol. 22(1), pages 69-78, February.
    21. Sanjiv Jaggia & Alison Kelly‐Hawke, 1999. "An Analysis Of The Factors That Influence Student Performance: A Fresh Approach To An Old Debate," Contemporary Economic Policy, Western Economic Association International, vol. 17(2), pages 189-198, April.
    22. Hanushek, Eric A. & Raymond, Margaret E., 2001. "The Confusing World of Educational Accountability," National Tax Journal, National Tax Association;National Tax Journal, vol. 54(2), pages 365-384, June.
    23. Hanushek, Eric A. & Raymond, Margaret E., 2001. "The Confusing World of Educational Accountability," National Tax Journal, National Tax Association, vol. 54(n. 2), pages 365-84, June.
    24. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-1177, September.
    25. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 533-575.
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    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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