IDEAS home Printed from https://ideas.repec.org/p/egc/wpaper/827.html
   My bibliography  Save this paper

The Effects of Class Size on the Long Run Growth in Reading Abilities and Early Adult Outcomes in the Christchurch Health and Development Study

Author

Listed:
  • Michael A. Boozer

    (Economic Growth Center, Yale University)

  • Tom Maloney

Abstract

This paper utilizes the feature of the CHDS data from New Zealand that children are sampled for extremely long individual histories of their class size experiences as well as their scholastic and early labor market outcomes. Our interest is to explore the full set of empirical implications of the recent experimental evidence on class size effects on student achievement from the United States in Project STAR for observational data. We argue that one implication of Project STAR is that only persistent class size reduction policies may have detectable effects, and so the longitudinal aspect of CHDS is necessary to detect class size effects. We account for the observational nature of the CHDS (in that children were not randomly assigned to different class sizes) by examining the long-run trends in test score growth, rather than levels. Consistent with the experimental evidence, we find statistically and economically significant effects of children being assigned to persistently smaller classes on both childhood test score growth as well as on early adult outcomes. Our analysis points the way towards the unification of experimental and observational evidence on class size effects, as well as highlighting several possible pitfalls in the analysis of observational data on this topic.

Suggested Citation

  • Michael A. Boozer & Tom Maloney, 2001. "The Effects of Class Size on the Long Run Growth in Reading Abilities and Early Adult Outcomes in the Christchurch Health and Development Study," Working Papers 827, Economic Growth Center, Yale University.
  • Handle: RePEc:egc:wpaper:827
    as

    Download full text from publisher

    File URL: http://www.econ.yale.edu/growth_pdf/cdp827.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Eric A. Hanushek, "undated". "The Evidence on Class Size," Wallis Working Papers WP10, University of Rochester - Wallis Institute of Political Economy.
    3. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    4. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, May.
    5. Berrara, A., 1989. "The Interactive Effects Of Mother'S Schooling And Unsupplemented Breastfeeding On Child Health," Papers 572, Yale - Economic Growth Center.
    6. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    7. Boozer, Michael & Rouse, Cecilia, 2001. "Intraschool Variation in Class Size: Patterns and Implications," Journal of Urban Economics, Elsevier, vol. 50(1), pages 163-189, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Boozer, Michael A. & Maloney, Tim, 2001. "The Effects of Class Size on the Long Run Growth in Reading Abilities and Early Adult Outcomes in the Christchurch Health and Development Study," Center Discussion Papers 28384, Yale University, Economic Growth Center.
    2. Wößmann, Ludger, 2001. "New Evidence on the Missing Resource-Performance Link in Education," Kiel Working Papers 1051, Kiel Institute for the World Economy (IfW Kiel).
    3. Gary-Bobo, Robert J. & Mahjoub, Mohamed Badrane, 2006. "Estimation of Class-Size Effects, Using 'Maimonides' Rule': The Case of French Junior High Schools," CEPR Discussion Papers 5754, C.E.P.R. Discussion Papers.
    4. Margaret Stevens & Kathryn Graddy, 2003. "The Impact of School Inputs on Student Performance: An Empirical Study of Private Schools in the United Kingdom," Economics Series Working Papers 146, University of Oxford, Department of Economics.
    5. Kokkelenberg, Edward C. & Dillon, Michael & Christy, Sean M., 2008. "The effects of class size on student grades at a public university," Economics of Education Review, Elsevier, vol. 27(2), pages 221-233, April.
    6. Stevens, Margaret & Graddy, Kathryn, 2003. "The Impact of School Inputs on Student Performance: An Empirical Study of Private Schools in the UK," CEPR Discussion Papers 3776, C.E.P.R. Discussion Papers.
    7. Wei-Bin Zhang, 2020. "Global Development, Trade, Human Capital, And Business Cycles," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, vol. 5(special), pages 9-29, June.
    8. Wo[ss]mann, Ludger & West, Martin, 2006. "Class-size effects in school systems around the world: Evidence from between-grade variation in TIMSS," European Economic Review, Elsevier, vol. 50(3), pages 695-736, April.
    9. Bonilla-Mejía, Leonardo & Galvis-Aponte, Luis Armando, 2014. "Profesionalización docente y calidad de la educación escolar en Colombia," Chapters, in: Sánchez Jabba, Andrés & Otero Cortés, Andrea (ed.), Educación y desarrollo regional en Colombia, chapter 5, pages 161-209, Banco de la Republica de Colombia.
    10. Beck, Thorsten & Levine, Ross & Loayza, Norman, 2000. "Finance and the sources of growth," Journal of Financial Economics, Elsevier, vol. 58(1-2), pages 261-300.
    11. Ozkan Eren & Daniel L. Millimet, 2008. "Time to learn? The organizational structure of schools and student achievement," Studies in Empirical Economics, in: Christian Dustmann & Bernd Fitzenberger & Stephen Machin (ed.), The Economics of Education and Training, pages 47-78, Springer.
    12. Christopher Jepsen, 2015. "Class size: Does it matter for student achievement?," IZA World of Labor, Institute of Labor Economics (IZA), pages 190-190, September.
    13. Gary Henry & Roderick Rose & Doug Lauen, 2014. "Are value-added models good enough for teacher evaluations? Assessing commonly used models with simulated and actual data," Investigaciones de Economía de la Educación volume 9, in: Adela García Aracil & Isabel Neira Gómez (ed.), Investigaciones de Economía de la Educación 9, edition 1, volume 9, chapter 20, pages 383-405, Asociación de Economía de la Educación.
    14. Jozef Konings & Stijn Vanormelingen, 2015. "The Impact of Training on Productivity and Wages: Firm-Level Evidence," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 485-497, May.
    15. West, Martin R. & Woessmann, Ludger, 2006. "Which school systems sort weaker students into smaller classes? International evidence," European Journal of Political Economy, Elsevier, vol. 22(4), pages 944-968, December.
    16. Pedro Martins & Jim Jin, 2010. "Firm-level social returns to education," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(2), pages 539-558, March.
    17. 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.
    18. Meghir, Costas & Rivkin, Steven, 2011. "Econometric Methods for Research in Education," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 1, pages 1-87, Elsevier.
    19. Robert Gibbons & Lawrence F. Katz & Thomas Lemieux & Daniel Parent, 2005. "Comparative Advantage, Learning, and Sectoral Wage Determination," Journal of Labor Economics, University of Chicago Press, vol. 23(4), pages 681-724, October.
    20. Hanushek, Eric A. & Luque, Javier A., 2003. "Efficiency and equity in schools around the world," Economics of Education Review, Elsevier, vol. 22(5), pages 481-502, October.

    More about this item

    Keywords

    School Quality; Value-Added Model; Experimental Evidence;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    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:egc:wpaper:827. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Benjamin King (email available below). General contact details of provider: https://edirc.repec.org/data/egyalus.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.