IDEAS home Printed from https://ideas.repec.org/p/isu/genstf/201904010700001085.html

Does Class Size Matter? How, and at What Cost?

Author

Listed:
  • Kedagni, Desire
  • Krishna, Kala
  • Megalokonomou, Rigissa
  • Zhao, Yingyan

Abstract

Using high quality administrative data on Greece we show that class size has a hump shaped effect on achievement. We do so both nonparametrically and parametrically, while controlling for potential endogeneity and allowing for quantile effects. We then embed our estimates for this relationship in a dynamic structural model with costs of hiring and firing.We argue that the linear specification form used in past work may be why it found mixed results. Our work suggests that while discrete reductions in class size may have mixed effects, discrete increases are likely to have very negative effects while marginal changes in class size would have small negative effects.We find optimal class sizes around 27 in the absence of adjustment costs and achievement maximizing ones around 15, and firing costs much larger than hiring costs consistent with the presence of unions. Despite this, reducing firing costs actually reduces achievement. Reducing hiring costs raises achievement and reduces class size. We show that class size caps are costly, and more so for small schools, even when set at levels well above average.

Suggested Citation

  • Kedagni, Desire & Krishna, Kala & Megalokonomou, Rigissa & Zhao, Yingyan, 2019. "Does Class Size Matter? How, and at What Cost?," ISU General Staff Papers 201904010700001085, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genstf:201904010700001085
    as

    Download full text from publisher

    File URL: https://dr.lib.iastate.edu/server/api/core/bitstreams/0d7be6e8-dce9-4cdb-a107-265ff80a9ac7/content
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bizopoulou, Aspasia & Megalokonomou, Rigissa & Simion, Stefania, 2022. "Do Second Chances Pay Off? Evidence from a Natural Experiment with Low-Achieving Students," IZA Discussion Papers 15139, Institute of Labor Economics (IZA).
    2. Jonathan A. Tillinghast & Dr. James W. Mjelde & Anna Yeritsyan, 2023. "COVID-19 and Grade Inflation: Analysis of Undergraduate GPAs During the Pandemic," SAGE Open, , vol. 13(4), pages 21582440231, November.
    3. Matej Opatrny & Tomas Havranek & Zuzana Irsova & Milan Scasny, 2023. "Publication Bias and Model Uncertainty in Measuring the Effect of Class Size on Achievement," Working Papers IES 2023/19, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2023.
    4. Tanaka, Ryuichi & Wang, Tong, 2025. "How do classmates matter for the class-size effects?," Economics of Education Review, Elsevier, vol. 108(C).
    5. Aspasia Bizopoulou & Rigissa Megalokonomou & Stefania Simion, 2023. "Do Second Chances Pay Off? Evidence from a Natural Experiment with Low-Achieving Students," Monash Economics Working Papers 2023-05, Monash University, Department of Economics.
    6. Aspasia Bizopoulou & Rigissa Megalokonomou & Stefania Simion, 2022. "Do Second Chances Pay Off?," Bristol Economics Discussion Papers 22/762, School of Economics, University of Bristol, UK.
    7. Opatrny, Matej & Havranek, Tomas & Irsova, Zuzana & Ščasný, Milan, 2023. "Class Size and Student Achievement: A Modern Meta-Analysis," MetaArXiv ekrqs_v1, Center for Open Science.

    More about this item

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • I20 - Health, Education, and Welfare - - Education - - - General
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J48 - Labor and Demographic Economics - - Particular Labor Markets - - - Particular Labor Markets; Public Policy

    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:isu:genstf:201904010700001085. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Curtis Balmer (email available below). General contact details of provider: https://edirc.repec.org/data/deiasus.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.