IDEAS home Printed from https://ideas.repec.org/p/aah/aarhec/2015-07.html
   My bibliography  Save this paper

Do class size effects differ across grades?

Author

Listed:
  • Anne Brink Nandrup

    (Department of Economics and Business Economics, Aarhus University, Denmark)

Abstract

This paper contributes to the class size literature by analyzing whether short-run class size effects are constant across grade levels in compulsory school. Results are based on administrative data on all pupils enroled in Danish public schools. Identification is based on a government-imposed class size cap that creates exogenous variation in class sizes. Significant (albeit modest) negative effects of class size increases are found for children on primary school levels. The effects on math abilities are statistically different across primary and secondary school. Larger classes do not affect girls, non-Western immigrants and socioeconomically disadvantaged pupils more adversely than other pupils.

Suggested Citation

  • Anne Brink Nandrup, 2015. "Do class size effects differ across grades?," Economics Working Papers 2015-07, Department of Economics and Business Economics, Aarhus University.
  • Handle: RePEc:aah:aarhec:2015-07
    as

    Download full text from publisher

    File URL: https://repec.econ.au.dk/repec/afn/wp/15/wp15_07.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:clu:wpaper:0607-14 is not listed on IDEAS
    2. Cristian Pop-Eleches & Miguel Urquiola, 2013. "Going to a Better School: Effects and Behavioral Responses," American Economic Review, American Economic Association, vol. 103(4), pages 1289-1324, June.
    3. Miguel Urquiola & Eric Verhoogen, 2009. "Class-Size Caps, Sorting, and the Regression-Discontinuity Design," American Economic Review, American Economic Association, vol. 99(1), pages 179-215, March.
    4. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    5. Lee, David S. & Card, David, 2008. "Regression discontinuity inference with specification error," Journal of Econometrics, Elsevier, vol. 142(2), pages 655-674, February.
    6. Martin Browning & Eskil Heinesen, 2007. "Class Size, Teacher Hours and Educational Attainment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 109(2), pages 415-438, June.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Nandrup, Anne Brink, 2017. "On the importance of school-based inputs in the production of student achievement: Evidence in a recent Scandinavian context," Nationaløkonomisk tidsskrift, Nationaløkonomisk Forening, vol. 2017(1), pages 1-22.

    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. Peter Fredriksson & Björn Öckert & Hessel Oosterbeek, 2013. "Long-Term Effects of Class Size," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(1), pages 249-285.
    2. Cohen-Zada, Danny & Gradstein, Mark & Reuven, Ehud, 2013. "Allocation of students in public schools: Theory and new evidence," Economics of Education Review, Elsevier, vol. 34(C), pages 96-106.
    3. Bauer, Thomas K. & Bender, Stefan & Paloyo, Alfredo R. & Schmidt, Christoph M., 2012. "Evaluating the labor-market effects of compulsory military service," European Economic Review, Elsevier, vol. 56(4), pages 814-829.
    4. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    5. Park, Albert & Shi, Xinzheng & Hsieh, Chang-tai & An, Xuehui, 2015. "Magnet high schools and academic performance in China: A regression discontinuity design," Journal of Comparative Economics, Elsevier, vol. 43(4), pages 825-843.
    6. Torberg Falch & Astrid Marie Jorde Sandsør & Bjarne Strøm, 2017. "Do Smaller Classes Always Improve Students’ Long-run Outcomes?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(5), pages 654-688, October.
    7. Cohen-Zada, Danny & Gradstein, Mark & Reuven, Ehud, 2009. "Class Size and the Regression Discontinuity Design: The Case of Public Schools," IZA Discussion Papers 4679, Institute of Labor Economics (IZA).
    8. Mark Hoekstra & Pierre Mouganie & Yaojing Wang, 2018. "Peer Quality and the Academic Benefits to Attending Better Schools," Journal of Labor Economics, University of Chicago Press, vol. 36(4), pages 841-884.
    9. Jin-young Choi & Myoung-jae Lee, 2017. "Regression discontinuity: review with extensions," Statistical Papers, Springer, vol. 58(4), pages 1217-1246, December.
    10. Fredriksson, Peter & Öckert, Björn & Oosterbeek, Hessel, 2014. "Inside the Black Box of Class Size: Mechanisms, Behavioral Responses, and Social Background," IZA Discussion Papers 8019, Institute of Labor Economics (IZA).
    11. Miguel Urquiola, 2015. "Progress and challenges in achieving an evidence-based education policy in Latin America and the Caribbean," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 24(1), pages 1-30, December.
    12. Lochmann, Alexia & Rapoport, Hillel & Speciale, Biagio, 2019. "The effect of language training on immigrants’ economic integration: Empirical evidence from France," European Economic Review, Elsevier, vol. 113(C), pages 265-296.
    13. Masakazu Hojo, 2011. "Education Production Function and Class-Size Effects in Japanese Public Schools," Global COE Hi-Stat Discussion Paper Series gd11-194, Institute of Economic Research, Hitotsubashi University.
    14. Martins, Theo Cotrim & Novaes, Walter, 2012. "Mandatory dividend rules: Do they make it harder for firms to invest?," Journal of Corporate Finance, Elsevier, vol. 18(4), pages 953-967.
    15. Gerard, Francois & Rokkanen, Miikka & Rothe, Christoph, 2015. "Identification and Inference in Regression Discontinuity Designs with a Manipulated Running Variable," IZA Discussion Papers 9604, Institute of Labor Economics (IZA).
    16. Carolina Caetano & Gregorio Caetano & Juan Carlos Escanciano, 2023. "Regression discontinuity design with multivalued treatments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 840-856, September.
    17. Jean‐Louis Arcand & Eric Djimeu Wouabe, 2010. "Teacher training and HIV/AIDS prevention in West Africa: regression discontinuity design evidence from the Cameroon," Health Economics, John Wiley & Sons, Ltd., vol. 19(S1), pages 36-54, September.
    18. Raffaello Bronzini & Eleonora Iachini, 2014. "Are Incentives for R&D Effective? Evidence from a Regression Discontinuity Approach," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 100-134, November.
    19. Yang He & Otávio Bartalotti, 2020. "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals [Using Maimonides’ rule to estimate the effect of class size on scholastic achievemen," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 211-231.
    20. Peter Fredriksson & Björn Öckert & Hessel Oosterbeek, 2016. "Parental Responses to Public Investments in Children: Evidence from a Maximum Class Size Rule," Journal of Human Resources, University of Wisconsin Press, vol. 51(4), pages 832-868.

    More about this item

    Keywords

    Class size; regression discontinuity; compulsory schooling; literacy; test scores;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:aah:aarhec:2015-07. 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: the person in charge (email available below). General contact details of provider: http://www.econ.au.dk/afn/ .

    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.