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Does whole-school reform boost student performance? The case of New York City

Author

Listed:
  • Robert Bifulco

    (University of Connecticut)

  • William Duncombe

    (Syracuse University)

  • John Yinger

    (Syracuse University)

Abstract

Thousands of schools around the country have implemented whole-school reform programs to boost student performance. This paper uses quasi-experimental methods to estimate the impact of whole-school reform on students' reading performance in New York City, where various reform programs were adopted in dozens of troubled elementary schools in the mid-1990s. This paper complements studies based on random assignment by examining a broad-based reform effort and explicitly accounting for implementation quality. Two popular reform programs-the School Development Program and Success for All-were not found to significantly increase reading scores but might have been if they had been fully implemented. The More Effective Schools program was found to boost reading scores, but this effect seems to disappear when the program “trainers” leave the school. © 2005 by the Association for Public Policy Analysis and Management.

Suggested Citation

  • Robert Bifulco & William Duncombe & John Yinger, 2005. "Does whole-school reform boost student performance? The case of New York City," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 24(1), pages 47-72.
    • Handle: RePEc:wly:jpamgt:v:24:y:2005:i:1:p:47-72
    DOI: 10.1002/pam.20069
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    References listed on IDEAS

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    1. Howard S. Bloom, 1984. "Estimating the Effect of Job-Training Programs, Using Longitudinal Data: Ashenfelter's Findings Reconsidered," Journal of Human Resources, University of Wisconsin Press, vol. 19(4), pages 544-556.
    2. 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.
    3. Cecilia Elena Rouse, 1998. "Private School Vouchers and Student Achievement: An Evaluation of the Milwaukee Parental Choice Program," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(2), pages 553-602.
    4. Thomas D. Cook & H. David Hunt & Robert F. Murphy, "undated". "Comer's School Development Program in Chicago: A Theory-Based Evaluation," IPR working papers 98-24, Institute for Policy Resarch at Northwestern University.
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    Citations

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    Cited by:

    1. Phuong Nguyen-Hoang, 2012. "Fiscal effects of budget referendums: evidence from New York school districts," Public Choice, Springer, vol. 150(1), pages 77-95, January.
    2. Sade Bonilla & Thomas S. Dee, 2020. "The Effects of School Reform under NCLB Waivers: Evidence from Focus Schools in Kentucky," Education Finance and Policy, MIT Press, vol. 15(1), pages 75-103, Winter.
    3. Roel van Elk & Suzanne Kok, 2014. "The impact of a comprehensive school reform policy for failing schools on educational achievement; Results of the first four years," CPB Discussion Paper 264.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    4. Roel Elk & Suzanne Kok, 2016. "The Impact of a Comprehensive School Reform Policy for Weak Schools on Educational Achievement; Results of the First 4 years," De Economist, Springer, vol. 164(4), pages 445-476, December.
    5. Roel van Elk & Suzanne Kok, 2014. "The impact of a comprehensive school reform policy for failing schools on educational achievement; Results of the first four years," CPB Discussion Paper 264, CPB Netherlands Bureau for Economic Policy Analysis.
    6. Lisa Dragoset & Susanne James-Burdumy & Kristin Hallgren & Irma Perez-Johnson & Mariesa Herrmann & Christina Tuttle & Megan Hague Angus & Rebecca Herman & Matthew Murray & Courtney Tanenbaum & Cheryl , 2015. "Usage of Practices Promoted by School Improvement Grants," Mathematica Policy Research Reports 8e99f01663504ef5b9f8357f6, Mathematica Policy Research.
    7. Catherine Haeck & Pierre Lefebvre & Philip Merrigan, 2011. "The Distributional Impacts of a Universal School Reform on Mathematical Achievements: a Natural Experiment from Canada (revised)," Cahiers de recherche 1135, CIRPEE.
    8. Lisa Dragoset & Susanne James-Burdumy & Kristin Hallgren & Irma Perez-Johnson & Mariesa Herrmann & Christina Tuttle & Megan Hague Angus & Rebecca Herman & Matthew Murray & Corutney Tanenbaum & Cheryl , 2015. "Usage of Policies and Practices Promoted by Race to the Top," Mathematica Policy Research Reports 4b296d4310f843acad1f80b5a, Mathematica Policy Research.
    9. Steven W. Hemelt & Brian Jacob, 2017. "Differentiated Accountability and Education Production: Evidence from NCLB Waivers," NBER Working Papers 23461, National Bureau of Economic Research, Inc.
    10. Steven W. Hemelt & Brian A. Jacob, 2020. "How Does an Accountability Program that Targets Achievement Gaps Affect Student Performance?," Education Finance and Policy, MIT Press, vol. 15(1), pages 45-74, Winter.
    11. Katharine O. Strunk & Julie A. Marsh & Ayesha K. Hashim & Susan Bush-Mecenas & Tracey Weinstein, 2016. "The Impact of Turnaround Reform on Student Outcomes: Evidence and Insights from the Los Angeles Unified School District," Education Finance and Policy, MIT Press, vol. 11(3), pages 251-282, Summer.
    12. Thomas Dee, 2012. "School Turnarounds: Evidence from the 2009 Stimulus," NBER Working Papers 17990, National Bureau of Economic Research, Inc.

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    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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