IDEAS home Printed from https://ideas.repec.org/a/esj/esriea/186b.html
   My bibliography  Save this article

The effects of class size on cognitive and non-cognitive abilities(in Japanese)

Author

Listed:
  • Minae NIKI

Abstract

The trend towards class size reduction has accelerated over the last decade. However, it is not clear whether small class sizes actually increase the quality of education enough to justify the downsizing cost. This paper intends to capture the effects of class size by using an education production function and by estimating the effects focusing on the following two points. First, we evaluate various aspects of class size effects. This paper uses TIMSS2003 Mathematics and Science data for Japanese public schools’ 8th grade students to estimate the effects of class size on academic achievements and four non-cognitive ability measures (“High motivation”, “Confidence”, “Utility”, “Belong”), which are estimated by using factor analysis to allow quantitative interpretation. Second, we control for endogeneity of class size that results from non-random assignments of students to class. This paper uses the Regression-Discontinuity-Design method which eliminates such biases. We obtained the following two results. First, we did not find a significant relationship between reductions in class size and academic achievements in both subjects. Second, regarding the non-cognitive ability measures, we found that in mathematics “Confidence” increases with class size reduction.

Suggested Citation

  • Minae NIKI, 2013. "The effects of class size on cognitive and non-cognitive abilities(in Japanese)," Economic Analysis, Economic and Social Research Institute (ESRI), vol. 186, pages 32-47, January.
  • Handle: RePEc:esj:esriea:186b
    as

    Download full text from publisher

    File URL: http://www.esri.go.jp/jp/archive/bun/bun186/bun186b.pdf
    Download Restriction: no

    More about this item

    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:esj:esriea:186b. 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: (KAWAMOTO Takuma). General contact details of provider: http://edirc.repec.org/data/esrgvjp.html .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.