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The Effects of Free Secondary School Track Choice: A Disaggregated Synthetic Control Approach

Author

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  • Osikominu, Aderonke

    (University of Hohenheim)

  • Pfeifer, Gregor

    (University of Sydney)

  • Strohmaier, Kristina

    (University of Tuebingen)

Abstract

We exploit a recent state-level reform in Germany that granted parents the right to decide on the highest secondary school track suitable for their child, changing the purpose of the primary teacher's recommendation from mandatory to informational. Applying a disaggre-gated synthetic control approach to administrative district-level data, we find that transition rates to the higher school tracks increased substantially, with stronger responses among children from richer districts. Simultaneously, grade repetition in the first grades of second-ary school increased dramatically, suggesting that parents choose school tracks also to align with their own aspirations – resulting in greater misallocation of students.

Suggested Citation

  • Osikominu, Aderonke & Pfeifer, Gregor & Strohmaier, Kristina, 2021. "The Effects of Free Secondary School Track Choice: A Disaggregated Synthetic Control Approach," IZA Discussion Papers 14033, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp14033
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    References listed on IDEAS

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    1. Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), 2011. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 4, number 4, June.
    2. Canaan, Serena, 2020. "The long-run effects of reducing early school tracking," Journal of Public Economics, Elsevier, vol. 187(C).
    3. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    4. Sönke Hendrik Matthewes, 2020. "Better together? Heterogeneous effects of tracking on student achievement," CEP Discussion Papers dp1706.pdf, Centre for Economic Performance, LSE.
    5. Caroline Hall, 2012. "The Effects of Reducing Tracking in Upper Secondary School: Evidence from a Large-Scale Pilot Scheme," Journal of Human Resources, University of Wisconsin Press, vol. 47(1), pages 237-269.
    6. Malamud, Ofer & Pop-Eleches, Cristian, 2011. "School tracking and access to higher education among disadvantaged groups," Journal of Public Economics, Elsevier, vol. 95(11), pages 1538-1549.
    7. Dube, Arindrajit & Zipperer, Ben, 2015. "Pooling Multiple Case Studies Using Synthetic Controls: An Application to Minimum Wage Policies," IZA Discussion Papers 8944, Institute of Labor Economics (IZA).
    8. Atila Abdulkadiroğlu & Joshua Angrist & Parag Pathak, 2014. "The Elite Illusion: Achievement Effects at Boston and New York Exam Schools," Econometrica, Econometric Society, vol. 82(1), pages 137-196, January.
    9. Costas Meghir & Mårten Palme, 2005. "Educational Reform, Ability, and Family Background," American Economic Review, American Economic Association, vol. 95(1), pages 414-424, March.
    10. Laurent Gobillon & Thierry Magnac, 2016. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 535-551, July.
    11. Acemoglu, Daron & Johnson, Simon & Kermani, Amir & Kwak, James & Mitton, Todd, 2016. "The value of connections in turbulent times: Evidence from the United States," Journal of Financial Economics, Elsevier, vol. 121(2), pages 368-391.
    12. Eric A. Hanushek & Ludger Wössmann, 2006. "Does Educational Tracking Affect Performance and Inequality? Differences- in-Differences Evidence Across Countries," Economic Journal, Royal Economic Society, vol. 116(510), pages 63-76, March.
    13. David Card & Laura Giuliano, 2016. "Can Tracking Raise the Test Scores of High-Ability Minority Students?," American Economic Review, American Economic Association, vol. 106(10), pages 2783-2816, October.
    14. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2011. "Synth: An R Package for Synthetic Control Methods in Comparative Case Studies," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i13).
    15. Christian Dustmann & Patrick A. Puhani & Uta Schönberg, 2017. "The Long‐term Effects of Early Track Choice," Economic Journal, Royal Economic Society, vol. 127(603), pages 1348-1380, August.
    16. Tamm, Marcus, 2008. "Does money buy higher schooling?: Evidence from secondary school track choice in Germany," Economics of Education Review, Elsevier, vol. 27(5), pages 536-545, October.
    17. Betts, Julian R., 2011. "The Economics of Tracking 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 7, pages 341-381, Elsevier.
    18. Bach, Maximilian & Fischer, Mira, 2020. "Understanding the Response to High-Stakes Incentives in Primary Education," Rationality and Competition Discussion Paper Series 261, CRC TRR 190 Rationality and Competition.
    19. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    20. A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
    21. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    22. Kaul, Ashok & Klößner, Stefan & Pfeifer, Gregor & Schieler, Manuel, 2015. "Synthetic Control Methods: Never Use All Pre-Intervention Outcomes Together With Covariates," MPRA Paper 83790, University Library of Munich, Germany.
    23. Christian Dustmann, 2004. "Parental background, secondary school track choice, and wages," Oxford Economic Papers, Oxford University Press, vol. 56(2), pages 209-230, April.
    24. Christian Dustmann & Patrick A. Puhani & Uta Schönberg, 2017. "The Long‐term Effects of Early Track Choice," Economic Journal, Royal Economic Society, vol. 127(603), pages 1348-1380, August.
    25. Sari Pekkala Kerr & Tuomas Pekkarinen & Roope Uusitalo, 2013. "School Tracking and Development of Cognitive Skills," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 577-602.
    26. Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2015. "Comparative Politics and the Synthetic Control Method," American Journal of Political Science, John Wiley & Sons, vol. 59(2), pages 495-510, February.
    27. Klößner, Stefan & Pfeifer, Gregor, 2015. "Synthesizing Cash for Clunkers: Stabilizing the Car Market, Hurting the Environment," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113207, Verein für Socialpolitik / German Economic Association.
    28. Stacy Dickert-Conlin & Todd Elder & Keith Teltser, 2019. "Allocating Scarce Organs: How a Change in Supply Affects Transplant Waiting Lists and Transplant Recipients," American Economic Journal: Applied Economics, American Economic Association, vol. 11(4), pages 210-239, October.
    29. Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), 2011. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 3, number 3, June.
    30. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881.
    31. Matthewes, Sonke, 2020. "Better together? Heterogeneous effects of tracking on student achievement," LSE Research Online Documents on Economics 108478, London School of Economics and Political Science, LSE Library.
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    Cited by:

    1. Elisabeth Grewenig, 2021. "School Track Decisions and Teacher Recommendations: Evidence from German State Reforms," ifo Working Paper Series 353, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Cattaneo, Maria A. & Wolter, Stefan C., 2022. "“Against all odds” Does awareness of the risk of failure matter for educational choices?," Economics of Education Review, Elsevier, vol. 87(C).
    3. Ketevani Kapanadze, 2021. "Checkmate! Losing with Borders, Winning with Centers. The Case of European Integration," CERGE-EI Working Papers wp716, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    4. Bach, Maximilian, 2021. "Heterogeneous responses to school track choice: Evidence from the repeal of binding track recommendations," ZEW Discussion Papers 21-104, ZEW - Leibniz Centre for European Economic Research.

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    More about this item

    Keywords

    school tracking; student performance; synthetic control method; treatment effect distributions; treatment effect heterogeneity;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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