Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/17332.html
   My bibliography  Save this paper

Explaining Charter School Effectiveness

Author

Listed:
  • Joshua D. Angrist
  • Parag A. Pathak
  • Christopher R. Walters
Abstract
Estimates using admissions lotteries suggest that urban charter schools boost student achievement, while charter schools in other settings do not. We explore student-level and school-level explanations for these differences using a large sample of Massachusetts charter schools. Our results show that urban charter schools boost achievement well beyond ambient non-charter levels (that is, the average achievement level for urban non-charter students), and beyond non-urban achievement in math. Student demographics explain some of these gains since urban charters are most effective for non-whites and low-baseline achievers. At the same time, non-urban charter schools are uniformly ineffective. Our estimates also reveal important school-level heterogeneity in the urban charter sample. A non-lottery analysis suggests that urban schools with binding, well-documented admissions lotteries generate larger score gains than under-subscribed urban charter schools with poor lottery records. We link the magnitude of charter impacts to distinctive pedagogical features of urban charters such as the length of the school day and school philosophy. The relative effectiveness of urban lottery-sample charters is accounted for by over-subscribed urban schools' embrace of the No Excuses approach to education.

Suggested Citation

  • Joshua D. Angrist & Parag A. Pathak & Christopher R. Walters, 2011. "Explaining Charter School Effectiveness," NBER Working Papers 17332, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:17332
    Note: CH ED LS PE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w17332.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Joshua D. Angrist & Parag A. Pathak & Christopher R. Walters, 2013. "Explaining Charter School Effectiveness," American Economic Journal: Applied Economics, American Economic Association, vol. 5(4), pages 1-27, October.
    2. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    3. Will Dobbie & Roland G. Fryer Jr., 2013. "Getting beneath the Veil of Effective Schools: Evidence from New York City," American Economic Journal: Applied Economics, American Economic Association, vol. 5(4), pages 28-60, October.
    4. Scott A. Imberman, 2011. "Achievement and Behavior in Charter Schools: Drawing a More Complete Picture," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 416-435, May.
    5. Joshua D. Angrist & Susan M. Dynarski & Thomas J. Kane & Parag A. Pathak & Christopher R. Walters, 2012. "Who Benefits from KIPP?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 31(4), pages 837-860, September.
    6. Jesse M. Rothstein, 2006. "Good Principals or Good Peers? Parental Valuation of School Characteristics, Tiebout Equilibrium, and the Incentive Effects of Competition among Jurisdictions," American Economic Review, American Economic Association, vol. 96(4), pages 1333-1350, September.
    7. Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
    8. William N. Evans & Robert M. Schwab, 1995. "Finishing High School and Starting College: Do Catholic Schools Make a Difference?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(4), pages 941-974.
    9. repec:mpr:mprres:6676 is not listed on IDEAS
    10. Roland G. Fryer, Jr, 2011. "Injecting Successful Charter School Strategies into Traditional Public Schools: A Field Experiment in Houston," NBER Working Papers 17494, National Bureau of Economic Research, Inc.
    11. Atila Abdulkadiroğlu & Joshua D. Angrist & Susan M. Dynarski & Thomas J. Kane & Parag A. Pathak, 2011. "Accountability and Flexibility in Public Schools: Evidence from Boston's Charters And Pilots," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(2), pages 699-748.
    12. Joshua D. Angrist & Susan M. Dynarski & Thomas J. Kane & Parag A. Pathak & Christopher R. Walters, 2010. "Inputs and Impacts in Charter Schools: KIPP Lynn," American Economic Review, American Economic Association, vol. 100(2), pages 239-243, May.
    13. repec:mpr:mprres:7293 is not listed on IDEAS
    14. Vilsa E. Curto & Roland G. Fryer, Jr., 2011. "Estimating the Returns to Urban Boarding Schools: Evidence from SEED," NBER Working Papers 16746, National Bureau of Economic Research, Inc.
    15. repec:mpr:mprres:6720 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Joshua D. Angrist & Sarah R. Cohodes & Susan M. Dynarski & Parag A. Pathak & Christopher R. Walters, 2016. "Stand and Deliver: Effects of Boston's Charter High Schools on College Preparation, Entry, and Choice," Journal of Labor Economics, University of Chicago Press, vol. 34(2), pages 275-318.
    2. Will Dobbie & Roland G. Fryer Jr., 2013. "Getting beneath the Veil of Effective Schools: Evidence from New York City," American Economic Journal: Applied Economics, American Economic Association, vol. 5(4), pages 28-60, October.
    3. Andrew Eyles & Stephen Machin, 2019. "The Introduction of Academy Schools to England's Education," Journal of the European Economic Association, European Economic Association, vol. 17(4), pages 1107-1146.
    4. Léonard Moulin, 2023. "Do private schools increase academic achievement? Evidence from France," Education Economics, Taylor & Francis Journals, vol. 31(2), pages 247-274, March.
    5. repec:mpr:mprres:8005 is not listed on IDEAS
    6. Hinnerich, Björn Tyrefors & Vlachos, Jonas, 2017. "The impact of upper-secondary voucher school attendance on student achievement. Swedish evidence using external and internal evaluations," Labour Economics, Elsevier, vol. 47(C), pages 1-14.
    7. Hahn, Youjin & Wang, Liang Choon & Yang, Hee-Seung, 2018. "Does greater school autonomy make a difference? Evidence from a randomized natural experiment in South Korea," Journal of Public Economics, Elsevier, vol. 161(C), pages 15-30.
    8. Atila Abdulkadiroğlu & Joshua D. Angrist & Peter D. Hull & Parag A. Pathak, 2016. "Charters without Lotteries: Testing Takeovers in New Orleans and Boston," American Economic Review, American Economic Association, vol. 106(7), pages 1878-1920, July.
    9. Jere R. Behrman & C. Simon Fan & Xiangdong Wei & Hongliang Zhang & Junsen Zhang, 2020. "After-School Tutoring, Household Substitution and Student Achievement: Experimental Evidence from Rural China," PIER Working Paper Archive 20-004, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    10. Ebrahim Azimi & Jane Friesen & Simon Woodcock, 2023. "Private Schools and Student Achievement," Education Finance and Policy, MIT Press, vol. 18(4), pages 623-653, Fall.
    11. Kevin Booker & Brian Gill & Tim Sass & Ron Zimmer, "undated". "Charter High Schools' Effects on Long-Term Attainment and Earnings (Working Paper)," Mathematica Policy Research Reports cfe561a4b1924b7eafb64f918, Mathematica Policy Research.
    12. Marco Bertoni & Gabriel Heller-Sahlgren & Olmo Silva, 2023. "Free to improve? The impact of free school attendance in England," CEP Discussion Papers dp1946, Centre for Economic Performance, LSE.
    13. Matthew A. Kraft, 2014. "How to Make Additional Time Matter: Integrating Individualized Tutorials into an Extended Day," Education Finance and Policy, MIT Press, vol. 10(1), pages 81-116, November.
    14. Chakrabarti, Rajashri & Roy, Joydeep, 2016. "Do charter schools crowd out private school enrollment? Evidence from Michigan," Journal of Urban Economics, Elsevier, vol. 91(C), pages 88-103.
    15. Jere R. Behrman & C. Simon Fan & Naijia Guo & Xiangdong Wei & Hongliang Zhang & Junsen Zhang, 2024. "Tutoring Efficacy, Household Substitution, And Student Achievement: Experimental Evidence From An After‐School Tutoring Program In Rural China," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 65(1), pages 149-189, February.
    16. Joe Regan-Stansfield, 2016. "Do good primary schools perform even better as academies?," Working Papers 141167564, Lancaster University Management School, Economics Department.
    17. Atila Abdulkadiroğlu & Joshua Angrist & Parag Pathak, 2014. "The Elite Illusion: Achievement Effects at Boston and New York Exam Schools," Econometrica, Econometric Society, vol. 82(1), pages 137-196, January.
    18. Lorenzo Neri & Elisabetta Pasini, 2020. "Heterogeneous Effects of School Autonomy in England," Discussion Paper Series, School of Economics and Finance 202010, School of Economics and Finance, University of St Andrews.
    19. Patrick L. Baude & Marcus Casey & Eric A. Hanushek & Gregory R. Phelan & Steven G. Rivkin, 2020. "The Evolution of Charter School Quality," Economica, London School of Economics and Political Science, vol. 87(345), pages 158-189, January.
    20. Lorenzo Neri & Elisabetta Pasini, 2018. "Heterogeneous Effects of Mass Academisation in England," Working Papers 847, Queen Mary University of London, School of Economics and Finance.
    21. Marianne P. Bitler & Thurston Domina & Emily K. Penner & Hilary W. Hoynes, 2013. "Distributional Effects of a School Voucher Program: Evidence from New York City," NBER Working Papers 19271, National Bureau of Economic Research, Inc.

    More about this item

    JEL classification:

    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:17332. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.