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Teacher density and student achievement in Swedish compulsory schools

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  • Andersson, Christian

    (Department of Economics)

Abstract

This paper analyzes how student achievement is affected by resource increases in the Swedish compulsory school due to a special government grant that was enforced in the academic year of 2001/02. The analysis is based on register data that contains all students that completed compulsory schooling (ninth grade) between 1998 and 2005. The results show that socio-economic variables explain a great deal of the variation in student achievement. The study also shows that the increased resources have not had a statistical significant positive effect on the average student’s achievement. This conclusion holds true when different measures of student achievement are used. Increased resources have however improved student achievement for students with low educated parents. If teacher density is increased with 10 percent students with low educated parents are expected to increase their grade point average ranking with about 0.4 percentile units.

Suggested Citation

  • Andersson, Christian, 2007. "Teacher density and student achievement in Swedish compulsory schools," Working Paper Series 2007:5, Uppsala University, Department of Economics.
  • Handle: RePEc:hhs:uunewp:2007_005
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    References listed on IDEAS

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    1. 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.
    2. Andersson, Christian, 2007. "Teacher density and student achievement in Swedish compulsory schools," Working Paper Series 2007:4, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    3. James Heckman, 2011. "Policies to foster human capital," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 73-137.
    4. Carneiro, Pedro & Heckman, James J., 2003. "Human Capital Policy," IZA Discussion Papers 821, Institute of Labor Economics (IZA).
    5. Andersson, Christian & Waldenström, Nina, 2007. "Teacher certification and student achievement in Swedish compulsory schools," Working Paper Series 2007:6, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    6. Andersson, Christian & Waldenström, Nina, 2007. "Teacher supply and the market for teachers," Working Paper Series 2007:5, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    7. Mikael Lindahl, 2005. "Home versus School Learning: A New Approach to Estimating the Effect of Class Size on Achievement," Scandinavian Journal of Economics, Wiley Blackwell, vol. 107(2), pages 375-394, June.
    8. 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.
    9. Alan B. Krueger, 2003. "Economic Considerations and Class Size," Economic Journal, Royal Economic Society, vol. 113(485), pages 34-63, February.
    10. Fredriksson, Peter & Öckert, Björn, 2005. "Is Early Learning Really More Productive? The Effect of School Starting Age on School and Labor Market Performance," IZA Discussion Papers 1659, Institute of Labor Economics (IZA).
    11. Geraint Johnes & Jill Johnes (ed.), 2004. "International Handbook on the Economics of Education," Books, Edward Elgar Publishing, number 2847.
    12. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 533-575.
    13. Hanushek, E.A.omson, W., 1996. "Assessing the Effects of School Resources on Student Performance : An Update," RCER Working Papers 424, University of Rochester - Center for Economic Research (RCER).
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    Cited by:

    1. Andersson, Christian, 2007. "Teacher density and student achievement in Swedish compulsory schools," Working Paper Series 2007:4, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    2. Forslund, Anders & Johansson, Kerstin, 2007. "Random and stock-flow models of labour market matching - Swedish evidence," Working Paper Series 2007:11, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    3. van den Berg, Gerard J., 2007. "An Economic Analysis of Exclusion Restrictions for Instrumental Variable Estimation," IZA Discussion Papers 2585, Institute of Labor Economics (IZA).
    4. Ohlsson, Henry, 2011. "The legacy of the Swedish gift and inheritance tax, 1884–2004," European Review of Economic History, Cambridge University Press, vol. 15(3), pages 539-569, December.
    5. Bygren, Magnus & Gähler, Michael, 2007. "The gender gap in workplace authority in Sweden 1968-2000 – a family affair?," Working Paper Series 2007:28, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    6. Caroline Hall & Laura Hartman, 2010. "Moral hazard among the sick and unemployed: evidence from a Swedish social insurance reform," Empirical Economics, Springer, vol. 39(1), pages 27-50, August.
    7. Sören Blomquist & Vidar Christiansen & Luca Micheletto, 2010. "Public Provision of Private Goods and Nondistortionary Marginal Tax Rates," American Economic Journal: Economic Policy, American Economic Association, vol. 2(2), pages 1-27, May.

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    More about this item

    Keywords

    teacher density; student achievement; government grant;
    All these keywords.

    JEL classification:

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

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