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Persistence of the School Entry Age Effect in a System of Flexible Tracking

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  • Patrick A. Puhani

    ()

  • Andrea M. Weber

Abstract

In Germany, the streaming of students into an academic or nonacademic track at age 10 can be revised at later stages of secondary education. To investigate the importance of such revisions, we use administrative data on the student population in the German state of Hessen to measure the persistence of school entry age’s impact on choice of secondary school track. Based on exogenous variation in the school entry age by birth month, we obtain regression discontinuity estimates for different cohorts and grades up to the end of secondary education. We show that the effect of original school entry age on a student’s later attending grammar school disappears exactly at the grade level in which educational institutions facilitate track modification.

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Bibliographic Info

Paper provided by Department of Economics, University of St. Gallen in its series University of St. Gallen Department of Economics working paper series 2007 with number 2007-30.

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Length: 57 pages
Date of creation: Jul 2007
Date of revision:
Handle: RePEc:usg:dp2007:2007-30

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Keywords: Education; identification; regression discontinuity design; instrumental variables; relative maturity;

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References

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  1. Cunha, Flavio & Heckman, James J. & Lochner, Lance, 2006. "Interpreting the Evidence on Life Cycle Skill Formation," Handbook of the Economics of Education, Elsevier.
  2. Garen, John, 1984. "The Returns to Schooling: A Selectivity Bias Approach with a Continuous Choice Variable," Econometrica, Econometric Society, vol. 52(5), pages 1199-1218, September.
  3. Hanushek, Eric A. & Wößmann, Ludger, 2006. "Does educational tracking affect performance and inequality? differences-in-differences evidence across countries," Munich Reprints in Economics 20457, University of Munich, Department of Economics.
  4. Patrick Puhani & Andrea Weber, 2007. "Does the early bird catch the worm?," Empirical Economics, Springer, vol. 32(2), pages 359-386, May.
  5. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-60, September.
  6. Kelly Bedard & Elizabeth Dhuey, 2006. "The Persistence of Early Childhood Maturity: International Evidence of Long-Run Age Effects," The Quarterly Journal of Economics, MIT Press, vol. 121(4), pages 1437-1472, November.
  7. Fredriksson, Peter & Öckert, Björn, 2006. "Is early learning really more productive? The effect of school starting age on school and labor market performance," Working Paper Series 2006:12, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  8. Douglas Staiger & James H. Stock, 1994. "Instrumental Variables Regression with Weak Instruments," NBER Technical Working Papers 0151, National Bureau of Economic Research, Inc.
  9. Christian Dustmann, 2004. "Parental background, secondary school track choice, and wages," Oxford Economic Papers, Oxford University Press, vol. 56(2), pages 209-230, April.
  10. Joshua D. Angrist & Guido W. Imbens, 1995. "Identification and Estimation of Local Average Treatment Effects," NBER Technical Working Papers 0118, National Bureau of Economic Research, Inc.
  11. Pekkarinen, Tuomas, 2005. "Gender Differences in Educational Attainment: Evidence on the Role of the Tracking Age from a Finnish Quasi-Experiment," IZA Discussion Papers 1897, Institute for the Study of Labor (IZA).
  12. Eric Maurin & Sandra McNally, 2007. "Educational Effects of Widening Access to the Academic Track: A Natural Experiment," CEE Discussion Papers 0085, Centre for the Economics of Education, LSE.
  13. Bauer, Philipp & Riphahn, Regina T., 2006. "Timing of school tracking as a determinant of intergenerational transmission of education," Economics Letters, Elsevier, vol. 91(1), pages 90-97, April.
  14. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-09, January.
  15. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-29, October.
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Cited by:
  1. Hendrik Jürges & Kerstin Schneider, 2011. "Why Young Boys Stumble: Early Tracking, Age and Gender Bias in the German School System," German Economic Review, Verein für Socialpolitik, vol. 12(4), pages 371-394, November.
  2. Roed Larsen, Erling & Solli, Ingeborg, 2012. "Born to Run Behind? Persistent Relative Age Effects on Earnings," UiS Working Papers in Economics and Finance 2012/10, University of Stavanger.
  3. Mühlenweg, Andrea Maria, 2007. "Educational Effects of Early or Later Secondary School Tracking in Germany," ZEW Discussion Papers 07-079, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  4. Christian Dustmann & Patrick A. Puhani & Uta Schönberg, 2012. "The Long-term Effects of School Quality on Labor Market Outcomes and Educational Attainment," CReAM Discussion Paper Series 1208, Centre for Research and Analysis of Migration (CReAM), Department of Economics, University College London.
  5. Solli, Ingeborg, 2012. "Left behind by birth month," UiS Working Papers in Economics and Finance 2012/8, University of Stavanger.

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