Advanced Search
MyIDEAS: Login to save this paper or follow this series

Does school autonomy improve educational outcomes? Judging the performance of foundation secondary schools in England

Contents:

Author Info

  • Rebecca Allen

    ()
    (Depatment of Quantitative Social Science - Institute of Education, University of London.)

Abstract

Government and researchers use school performance measures such as contextual value-added to claim that giving schools autonomy from local authority control produces superior pupil performance in GCSE examinations. This paper explores the extent to which inferring causality between autonomy and pupil achievement is reasonable given that pupils are not randomly assigned to schools and schools do not randomly acquire autonomous status. Rich administrative data and the Longitudinal Survey of Young People in England are used to evaluate whether CVA-style inferences are confounded by pupil characteristics that explain both the chances of attending an autonomous school and academic achievement. The assignment of grant-maintained (and thus now foundation) status through a vote of parents is used to compare school that just did, and just did not, gain autonomy over a decade ago. These alternative estimation strategies suggest there is little evidence that foundation status casually yields superior school performance.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://repec.ioe.ac.uk/REPEc/pdf/qsswp1002.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Department of Quantitative Social Science - Institute of Education, University of London in its series DoQSS Working Papers with number 10-02.

as in new window
Length: 33 pages
Date of creation: 03 Feb 2010
Date of revision:
Handle: RePEc:qss:dqsswp:1002

Contact details of provider:
Postal: Department of Quantitative Social Science. 20 Bedford Way London WC1H 0AL
Phone: (44) (0)20 7612 6654. Eliminate (44) and add (0) if calling from inside the UK. Add (44) and eliminate (0) if calling from abroad.
Fax: (44) (0)20 7612 6686
Web page: http://www.ioe.ac.uk/research/departments/qss/35445.html
More information through EDIRC

Related research

Keywords: school autonomy; school effectiveness; foundation schools;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-09, January.
  2. John DiNardo & David S. Lee, 2004. "Economic Impacts of Unionization on Private Sector Employers: 1984-2001," NBER Working Papers 10598, National Bureau of Economic Research, Inc.
  3. Stephen Gibbons & Stephen Machin & Olmo Silva, 2008. "Choice, Competition, and Pupil Achievement," Journal of the European Economic Association, MIT Press, vol. 6(4), pages 912-947, 06.
  4. Timothy Besley & Maitreesh Ghatak, 2005. "Competition and Incentives with Motivated Agents," American Economic Review, American Economic Association, vol. 95(3), pages 616-636, June.
  5. Gibbons, Stephen & Silva, Olmo, 2008. "Urban density and pupil attainment," Journal of Urban Economics, Elsevier, vol. 63(2), pages 631-650, March.
  6. Damon Clark, 2009. "The Performance and Competitive Effects of School Autonomy," Journal of Political Economy, University of Chicago Press, vol. 117(4), pages 745-783, 08.
  7. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
Full references (including those not matched with items on IDEAS)

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:qss:dqsswp:1002. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Lindsey Macmillan).

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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