IDEAS home Printed from https://ideas.repec.org/p/zbw/esprep/120874.html
   My bibliography  Save this paper

The causal effects of increased learning intensity on student achievement: Evidence from a natural experiment

Author

Listed:
  • Andrietti, Vincenzo

Abstract

I exploit a unique educational policy - implemented in most German states between 2001 and 2007 - that reduced high school duration by one year while keeping its curriculum unaltered to investigate how the resulting increase in learning intensity affected student achievement. Using 2000-2009 PISA data and a difference-in-differences approach, I find robust evidence that the reform significantly improved the reading, mathematics, and science literacy skills acquired by academic-track high school students upon treatment. A more direct estimate of the effects of the increased learning intensity - as measured by the cumulative weekly number of instructional hours delivered in high school grades - corroborates the latter finding. Furthermore, there is some evidence that the effects of the reform differ by gender and grade retention. Finally, I find no evidence of a significant average effect of the reform on high school grade retention, although I do find that the latter increased significantly for boys and for students with a migration background.

Suggested Citation

  • Andrietti, Vincenzo, 2015. "The causal effects of increased learning intensity on student achievement: Evidence from a natural experiment," EconStor Preprints 120874, ZBW - Leibniz Information Centre for Economics.
    • Handle: RePEc:zbw:esprep:120874
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/120874/3/wp1506.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    2. 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.
    3. Agüero, Jorge M. & Beleche, Trinidad, 2013. "Test-Mex: Estimating the effects of school year length on student performance in Mexico," Journal of Development Economics, Elsevier, vol. 103(C), pages 353-361.
    4. Bellei, Cristián, 2009. "Does lengthening the school day increase students' academic achievement? Results from a natural experiment in Chile," Economics of Education Review, Elsevier, vol. 28(5), pages 629-640, October.
    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. Ludger Woessmann, 2016. "The Importance of School Systems: Evidence from International Differences in Student Achievement," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 3-32, Summer.
    2. Hofmann, Sarah & Mühlenweg, Andrea, 2018. "Learning intensity effects in students’ mental and physical health – Evidence from a large scale natural experiment in Germany," Economics of Education Review, Elsevier, vol. 67(C), pages 216-234.
    3. Obergruber, Natalie & Zierow, Larissa, 2020. "Students’ behavioural responses to a fallback option - Evidence from introducing interim degrees in german schools," Economics of Education Review, Elsevier, vol. 75(C).
    4. Huebener, Mathias & Kuger, Susanne & Marcus, Jan, 2017. "Increased instruction hours and the widening gap in student performance," Labour Economics, Elsevier, vol. 47(C), pages 15-34.
    5. OIKAWA Masato & TANAKA Ryuichi & BESSHO Shun-ichiro & KAWAMURA Akira & NOGUCHI Haruko, 2022. "Do Class Closures Affect Students' Achievements? Heterogeneous effects of students' socioeconomic backgrounds," Discussion papers 22042, Research Institute of Economy, Trade and Industry (RIETI).
    6. Dahmann, Sarah C., 2017. "How does education improve cognitive skills? Instructional time versus timing of instruction," Labour Economics, Elsevier, vol. 47(C), pages 35-47.
    7. Vincenzo Andrietti & Xuejuan Su, 2019. "The Impact of Schooling Intensity on Student Learning: Evidence from a Quasi-Experiment," Education Finance and Policy, MIT Press, vol. 14(4), pages 679-701, Fall.
    8. Oikawa, Masato & Tanaka, Ryuichi & Bessho, Shun-ichiro & Noguchi, Haruko, 2020. "Do Class Size Reductions Protect Students from Infectious Disease? Lessons for COVID-19 Policy from Flu Epidemic in Tokyo Metropolitan Area," IZA Discussion Papers 13432, Institute of Labor Economics (IZA).
    9. Simon Briole, 2019. "From Teacher Quality to Teaching Quality: Instructional Productivity and Teaching Practices in the US," PSE Working Papers halshs-01993616, HAL.
    10. Dörsam, Michael & Lauber, Verena, 2015. "The Effect of a Compressed High School Curriculum on University Performance," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 140876, Verein für Socialpolitik / German Economic Association.
    11. Motegi, Hiroyuki & Oikawa, Masato, 2019. "The effect of instructional quality on student achievement: Evidence from Japan," Japan and the World Economy, Elsevier, vol. 52(C).

    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. Martin Nistal & María Edo, 2022. "More time less time? The effect of lengthening the school day on learning trajectories," Asociación Argentina de Economía Política: Working Papers 4578, Asociación Argentina de Economía Política.
    2. Vincenzo Andrietti & Xuejuan Su, 2019. "The Impact of Schooling Intensity on Student Learning: Evidence from a Quasi-Experiment," Education Finance and Policy, MIT Press, vol. 14(4), pages 679-701, Fall.
    3. Fischer, Martin & Karlsson, Martin & Nilsson, Therese & Schwarz, Nina, 2016. "The Sooner the Better? Compulsory Schooling Reforms in Sweden," IZA Discussion Papers 10430, Institute of Labor Economics (IZA).
    4. Rosa, Leonardo & Bettinger, Eric & Carnoy, Martin & Dantas, Pedro, 2022. "The effects of public high school subsidies on student test scores," Economics of Education Review, Elsevier, vol. 87(C).
    5. Martín Nistal, 2022. "More time less time? The effect of lengthening the school day on learning trajectories," Young Researchers Working Papers 4, Universidad de San Andres, Departamento de Economia, revised Oct 2022.
    6. Huebener, Mathias & Kuger, Susanne & Marcus, Jan, 2017. "Increased instruction hours and the widening gap in student performance," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 47, pages 15-34.
    7. Bauernschuster, Stefan & Schlotter, Martin, 2015. "Public child care and mothers' labor supply—Evidence from two quasi-experiments," Journal of Public Economics, Elsevier, vol. 123(C), pages 1-16.
    8. Camarero Garcia, Sebastian, 2022. "Inequality of Educational Opportunities and the Role of Learning Intensity," Labour Economics, Elsevier, vol. 74(C).
    9. Will Dobbie & Roland G. Fryer, Jr, 2009. "Are High Quality Schools Enough to Close the Achievement Gap? Evidence from a Social Experiment in Harlem," NBER Working Papers 15473, National Bureau of Economic Research, Inc.
    10. Ainhoa Aparicio Fenoll & Zoë Kuehn, 2017. "Compulsory Schooling Laws and Migration Across European Countries," Demography, Springer;Population Association of America (PAA), vol. 54(6), pages 2181-2200, December.
    11. Barrios-Fernández, Andrés & Bovini, Giulia, 2021. "It’s time to learn: School institutions and returns to instruction time," Economics of Education Review, Elsevier, vol. 80(C).
    12. Rafael Di Tella & Ernesto Schargrodsky, 2004. "Do Police Reduce Crime? Estimates Using the Allocation of Police Forces After a Terrorist Attack," American Economic Review, American Economic Association, vol. 94(1), pages 115-133, March.
    13. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    14. Agüero, Jorge M. & Beleche, Trinidad, 2013. "Test-Mex: Estimating the effects of school year length on student performance in Mexico," Journal of Development Economics, Elsevier, vol. 103(C), pages 353-361.
    15. Zuo, Na & Schieffer, Jack & Buck, Steven, 2019. "The effect of the oil and gas boom on schooling decisions in the U.S," Resource and Energy Economics, Elsevier, vol. 55(C), pages 1-23.
    16. Susan Dynarski, 2008. "Building the Stock of College-Educated Labor," Journal of Human Resources, University of Wisconsin Press, vol. 43(3), pages 576-610.
    17. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
    18. Stanislav Avdeev, 2020. "Zero Returns To Higher Education: Evidence From A Natural Experiment," HSE Working papers WP BRP 236/EC/2020, National Research University Higher School of Economics.
    19. Nathan Fiala & Ana Garcia-Hernandez & Kritika Narula & Nishith Prakash, 2022. "Wheels of Change: Transforming Girls’ Lives with Bicycles," Working papers 2022-04, University of Connecticut, Department of Economics.
    20. Martin Fischer & Martin Karlsson & Therese Nilsson & Nina Schwarz, 2020. "The Long-Term Effects of Long Terms – Compulsory Schooling Reforms in Sweden," Journal of the European Economic Association, European Economic Association, vol. 18(6), pages 2776-2823.

    More about this item

    Keywords

    G8; Learning intensity; Instructional hours; Student achievement; Academic-track high school; Difference-in-Differences;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation

    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:zbw:esprep:120874. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zbwkide.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.