IDEAS home Printed from https://ideas.repec.org/p/auu/dpaper/470.html
   My bibliography  Save this paper

The Impact of Early Schooling on Subsequent Literacy and Numeracy Performance - Estimates from a Policy Induced 'Natural' Experiment

Author

Abstract

This paper exploits a policy-induced natural experiment that occurred in South Australia in the mid-1980s to generate a 'causal' estimate of the effect of schooling on the literacy and numeracy performance of school students in their middle years of secondary school (in Year 9 for most students). The Early Years of School policy changed the way that an identifiable subset of students progressed through junior primary school, causing them to obtain an additional year of schooling for any completed Grade or level compared with their predecessors. The impact of the policy change on the age-grade structure of student cohorts in South Australia is captured between two waves of longitudinal data. Based on the analysis of the impact of this policy change, it appears that an additional year of junior primary school increased the numeracy and literacy performance in mid-secondary school significantly, by around one half of a standard deviation. These effects were the same for boys and girls and were similar across the distribution of ability - they were the same for low school achievers as high ones.

Suggested Citation

  • Chris Ryan, 2004. "The Impact of Early Schooling on Subsequent Literacy and Numeracy Performance - Estimates from a Policy Induced 'Natural' Experiment," CEPR Discussion Papers 470, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    • Handle: RePEc:auu:dpaper:470
    as

    Download full text from publisher

    File URL: https://www.cbe.anu.edu.au/researchpapers/CEPR/DP470.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Currie, Janet & Thomas, Duncan, 1995. "Does Head Start Make a Difference?," American Economic Review, American Economic Association, vol. 85(3), pages 341-364, June.
    2. Janet Currie, 2001. "Early Childhood Education Programs," Journal of Economic Perspectives, American Economic Association, vol. 15(2), pages 213-238, Spring.
    3. Stiglitz, Joseph E, 1975. "The Theory of "Screening," Education, and the Distribution of Income," American Economic Review, American Economic Association, vol. 65(3), pages 283-300, June.
    4. Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001. "Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data," Empirical Economics, Springer, vol. 26(1), pages 7-40.
    5. José A. F. Machado & José Mata, 2001. "Earning functions in Portugal 1982-1994: Evidence from quantile regressions," Empirical Economics, Springer, vol. 26(1), pages 115-134.
    6. Ichino, Andrea & Winter-Ebmer, Rudolf, 1999. "Lower and upper bounds of returns to schooling: An exercise in IV estimation with different instruments," European Economic Review, Elsevier, vol. 43(4-6), pages 889-901, April.
    7. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    8. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    9. Joshua D. Angrist & Alan B. Keueger, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 979-1014.
    10. Harmon, Colm & Walker, Ian, 1995. "Estimates of the Economic Return to Schooling for the United Kingdom," American Economic Review, American Economic Association, vol. 85(5), pages 1278-1286, December.
    11. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    12. Jesse Levin, 2001. "For whom the reductions count: A quantile regression analysis of class size and peer effects on scholastic achievement," Empirical Economics, Springer, vol. 26(1), pages 221-246.
    13. Alan B. Krueger, 2003. "Economic Considerations and Class Size," Economic Journal, Royal Economic Society, vol. 113(485), pages 34-63, February.
    14. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.
    15. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
    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. Cinthya G. Caamal Olvera, 2017. "Decreasing returns to schooling in Mexico," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 32(1), pages 27-63.
    2. Giorgio Brunello & Margherita Fort & Guglielmo Weber, 2009. "Changes in Compulsory Schooling, Education and the Distribution of Wages in Europe," Economic Journal, Royal Economic Society, vol. 119(536), pages 516-539, March.
    3. Angel de la Fuente & Antonio Ciccone, 2003. "Human capital in a global and knowledge-based economy," UFAE and IAE Working Papers 562.03, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    4. Daeheon Choi & Chune Young Chung & Ha Truong, 2019. "Return on Education in Two Major Vietnamese Cities," Sustainability, MDPI, vol. 11(18), pages 1-30, September.
    5. Daniel A. Kamhöfer & Hendrik Schmitz, 2013. "Analyzing Zero Returns to Education in Germany: Heterogeneous Effects and Skill Formation," SOEPpapers on Multidisciplinary Panel Data Research 598, DIW Berlin, The German Socio-Economic Panel (SOEP).
    6. Corrado Andini, 2010. "Within-groups wage inequality and schooling: further evidence for Portugal," Applied Economics, Taylor & Francis Journals, vol. 42(28), pages 3685-3691.
    7. Corrado Andini, 2007. "The total impact of schooling on within-groups wage inequality in Portugal," Applied Economics Letters, Taylor & Francis Journals, vol. 15(2), pages 85-90.
    8. Pedro Pires & João Pedro Pereira & Luís Filipe Martins, 2015. "The Empirical Determinants of Credit Default Swap Spreads: a Quantile Regression Approach," European Financial Management, European Financial Management Association, vol. 21(3), pages 556-589, June.
    9. Colm Harmon & Hessel Oosterbeek & Ian Walker, 2003. "The Returns to Education: Microeconomics," Journal of Economic Surveys, Wiley Blackwell, vol. 17(2), pages 115-156, April.
    10. Kan, Kamhon & Tsai, Wei-Der, 2004. "Obesity and risk knowledge," Journal of Health Economics, Elsevier, vol. 23(5), pages 907-934, September.
    11. Harry Anthony Patrinos & Chris Sakellariou, 2015. "Adult literacy, heterogeneity and returns to schooling in Chile," Education Economics, Taylor & Francis Journals, vol. 23(1), pages 122-136, February.
    12. McNamara, Sarah, 2020. "Returns to higher education and dropouts: A double machine learning approach," ZEW Discussion Papers 20-084, ZEW - Leibniz Centre for European Economic Research.
    13. Muller, Christophe, 2018. "Heterogeneity and nonconstant effect in two-stage quantile regression," Econometrics and Statistics, Elsevier, vol. 8(C), pages 3-12.
    14. Duschl, Matthias & Schimke, Antje & Brenner, Thomas & Luxen, Dennis, 2011. "Firm growth and the spatial impact of geolocated external factors: Empirical evidence for German manufacturing firms," Working Paper Series in Economics 36, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    15. Yakusheva, Olga, 2010. "Return to college education revisited: Is relevance relevant?," Economics of Education Review, Elsevier, vol. 29(6), pages 1125-1142, December.
    16. Tae-Hwan Kim & Christophe Muller, 2004. "Two-stage quantile regression when the first stage is based on quantile regression," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 218-231, June.
    17. Makowsky, Michael, 2009. "Religious Extremism, Clubs, and Civil Liberties: A Model of Religious Populations," MPRA Paper 14358, University Library of Munich, Germany.
    18. Fattouh, Bassam & Scaramozzino, Pasquale & Harris, Laurence, 2005. "Capital structure in South Korea: a quantile regression approach," Journal of Development Economics, Elsevier, vol. 76(1), pages 231-250, February.
    19. Mona Said & Fatma El-Hamidi, 2008. "Taking Technical Education Seriously in MENA: Determinants, Labor Market Implications and Policy Lessons," Working Papers 450, Economic Research Forum, revised 09 Jan 2008.
    20. Angel López-Nicolás & Jaume García & Pedro J. Hernández, 2001. "How wide is the gap? An investigation of gender wage differences using quantile regression," Empirical Economics, Springer, vol. 26(1), pages 149-167.

    More about this item

    Keywords

    natural experiment; school achievement;

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government 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:auu:dpaper:470. 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: https://edirc.repec.org/data/cpanuau.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.