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The Impact Of Early Schooling On Subsequent Literacy And Numeracy Performance - Estimates From A Policy-Induced 'Natural' Experiment

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

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Paper provided by Econometric Society in its series Econometric Society 2004 Australasian Meetings with number 53.

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Date of creation: 11 Aug 2004
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Handle: RePEc:ecm:ausm04:53
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  1. Spence, A Michael, 1973. "Job Market Signaling," The Quarterly Journal of Economics, MIT Press, vol. 87(3), pages 355-74, August.
  2. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-61, April.
  3. Currie, Janet & Thomas, Duncan, 1995. "Does Head Start Make a Difference?," American Economic Review, American Economic Association, vol. 85(3), pages 341-64, June.
  4. Alan B. Krueger, 2002. "Economic Considerations and Class Size," NBER Working Papers 8875, National Bureau of Economic Research, Inc.
  5. Joshua D. Angrist & Alan B. Krueger, 1990. "Does Compulsory School Attendance Affect Schooling and Earnings?," NBER Working Papers 3572, National Bureau of Economic Research, Inc.
  6. Ichino, Andrea & Winter-Ebmer, Rudolf, 1998. "Lower and Upper Bounds of Returns to Schooling: An Exercise in IV estimation with Different Instruments," CEPR Discussion Papers 2007, C.E.P.R. Discussion Papers.
  7. Janet Currie, 2001. "Early Childhood Education Programs," Journal of Economic Perspectives, American Economic Association, vol. 15(2), pages 213-238, Spring.
  8. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 38(2), pages 112-134.
  9. Omar Arias & Kevin F. Hallock & Walter Sosa Escudero, 1999. "Individual Heterogeneity in the Returns to Schooling: Instrumental Variables Quantile Regression using Twins Data," Department of Economics, Working Papers 016, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata.
  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 1278-86, December.
  11. 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.
  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. Joseph E. Stiglitz, 1973. "The Theory of 'Screening', Education, and the Distribution of Income," Cowles Foundation Discussion Papers 354, Cowles Foundation for Research in Economics, Yale University.
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