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The Literacy Hour

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  • Sandra McNally
  • Stephen Machin

Abstract

In countries like the UK and the US, a significant and challenging problem facing educators is how to ensure that future generations do not suffer from the severe basic skills problems that currently hinder a sizeable group of adults. We look at a primary school programme introduced into English schools, the literacy hour, to work out whether changing the structure and content of teaching can enhance literacy skills, thus acting as a tool to alleviate problems of low literacy. Our results point to a significant impact of the literacy hour with there being around a 2-3 percentage point improvement in the reading and English skills of primary school children affected by the introduction of the policy. The literacy hour fares well when compared to other policies in terms of cost effectiveness. These findings are of strong significance when placed into the wider education debate about what works best in schools for improving pupil performance. The evidence reported here suggests that public policy aimed at changing the content and structure of teaching can significantly raise pupil achievement. The literacy hour therefore has practical implications for raising literacy standards in many countries.
(This abstract was borrowed from another version of this item.)

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  • Sandra McNally & Stephen Machin, 2004. "The Literacy Hour," Royal Economic Society Annual Conference 2004 43, Royal Economic Society.
  • Handle: RePEc:ecj:ac2004:43
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    1. 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.
    2. Abhijit V. Banerjee & Shawn Cole & Esther Duflo & Leigh Linden, 2007. "Remedying Education: Evidence from Two Randomized Experiments in India," The Quarterly Journal of Economics, Oxford University Press, vol. 122(3), pages 1235-1264.
    3. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 605-654.
    4. Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February.
    5. Angrist, Joshua D & Lavy, Victor, 2001. "Does Teacher Training Affect Pupil Learning? Evidence from Matched Comparisons in Jerusalem Public Schools," Journal of Labor Economics, University of Chicago Press, vol. 19(2), pages 343-369, April.
    6. Card, David & Krueger, Alan B, 1992. "Does School Quality Matter? Returns to Education and the Characteristics of Public Schools in the United States," Journal of Political Economy, University of Chicago Press, vol. 100(1), pages 1-40, February.
    7. Stephen Machin & Sandra McNally, 2005. "Gender and Student Achievement in English Schools," Oxford Review of Economic Policy, Oxford University Press, vol. 21(3), pages 357-372, Autumn.
    8. Glewwe, Paul & Kremer, Michael & Moulin, Sylvie & Zitzewitz, Eric, 2004. "Retrospective vs. prospective analyses of school inputs: the case of flip charts in Kenya," Journal of Development Economics, Elsevier, vol. 74(1), pages 251-268, June.
    9. Richard Blundell & Monica Costa Dias & Costas Meghir & John Van Reenen, 2004. "Evaluating the Employment Impact of a Mandatory Job Search Program," Journal of the European Economic Association, MIT Press, vol. 2(4), pages 569-606, June.
    10. Joshua Angrist & Victor Lavy, 2002. "New Evidence on Classroom Computers and Pupil Learning," Economic Journal, Royal Economic Society, vol. 112(482), pages 735-765, October.
    11. Krueger, Alan B & Whitmore, Diane M, 2001. "The Effect of Attending a Small Class in the Early Grades on College-Test Taking and Middle School Test Results: Evidence from Project STAR," Economic Journal, Royal Economic Society, vol. 111(468), pages 1-28, January.
    12. Lorraine Dearden & Carl Emmerson & Christine Frayne & Costas Meghir, 2005. "Education subsidies and school drop-out rates," IFS Working Papers W05/11, Institute for Fiscal Studies.
    13. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," Review of Economic Studies, Oxford University Press, vol. 65(2), pages 261-294.
    14. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, Oxford University Press, vol. 114(2), pages 533-575.
    15. Christian Dustmann & Bernd Fitzenberger & Steve Machin, 2007. "The economics of education and training," Empirical Economics, Springer, vol. 32(2), pages 255-260, May.
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    JEL classification:

    • I2 - Health, Education, and Welfare - - Education

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