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“Teaching to teach” literacy

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  • Machin, Stephen
  • McNally, Sandra
  • Viarengo, Martina

Abstract

Significant numbers of people have very low levels of literacy in many OECD countries and, because of this, face significant labour market penalties. Despite this, it remains unclear what teaching strategies are most useful for actually rectifying literacy deficiencies. The subject remains hugely controversial amongst educationalists and has seldom been studied by economists. Research evidence from part of Scotland prompted a national change in the policy guidance given to schools in England in the mid-2000s about how children are taught to read. We conceptualise this as a shock to the education production function that affects the technology of teaching. In particular, there was phasing in of intensive support to some schools across Local Authorities: teachers were trained to use a new phonics approach. We use this staggered introduction of intensive support to estimate the effect of the new ‘teaching technology’ on children’s educational attainment. We find there to be effects of the teaching technology (‘synthetic phonics’) at age 5 and 7. However, by the age of 11, other children have caught up and there are no average effects. There are long-term effects only for those children with a higher initial propensity to struggle with reading.

Suggested Citation

  • Machin, Stephen & McNally, Sandra & Viarengo, Martina, 2016. "“Teaching to teach” literacy," LSE Research Online Documents on Economics 66443, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:66443
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    References listed on IDEAS

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    1. Daniel Aaronson & Lisa Barrow & William Sander, 2007. "Teachers and Student Achievement in the Chicago Public High Schools," Journal of Labor Economics, University of Chicago Press, vol. 25(1), pages 95-135.
    2. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates," American Economic Review, American Economic Association, vol. 104(9), pages 2593-2632, September.
    3. Machin, Stephen & McNally, Sandra, 2008. "The literacy hour," Journal of Public Economics, Elsevier, vol. 92(5-6), pages 1441-1462, June.
    4. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood," American Economic Review, American Economic Association, vol. 104(9), pages 2633-2679, September.
    5. 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.
    6. Anna Vignoles & Gemma Cherry, 2020. "What is the economic value of literacy and numeracy?," IZA World of Labor, Institute of Labor Economics (IZA), pages 229-229, October.
    7. Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 497-532.
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    More about this item

    Keywords

    literacy; phonics;

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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