IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_2634.html

Is Traditional Teaching really all that Bad? A Within-Student Between-Subject Approach

Author

Listed:
  • Guido Schwerdt
  • Amelie C. Wuppermann

Abstract

Recent studies conclude that teachers are important for student learning but it remains uncertain what actually determines effective teaching. This study directly peers into the black box of educational production by investigating the relationship between lecture style teaching and student achievement. Based on matched student-teacher data for the US, the estimation strategy exploits between-subject variation to control for unobserved student traits. Results indicate that traditional lecture style teaching is associated with significantly higher student achievement. No support for detrimental effects of lecture style teaching can be found even when evaluating possible selection biases due to unobservable teacher characteristics.

Suggested Citation

  • Guido Schwerdt & Amelie C. Wuppermann, 2009. "Is Traditional Teaching really all that Bad? A Within-Student Between-Subject Approach," CESifo Working Paper Series 2634, CESifo.
    • Handle: RePEc:ces:ceswps:_2634
    as

    Download full text from publisher

    File URL: https://www.ifo.de/DocDL/cesifo1_wp2634.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hans Bonesrønning, 2004. "Do the teachers' grading practices affect student achievement?," Education Economics, Taylor & Francis Journals, vol. 12(2), pages 151-167.
    2. Schacter, John & Thum, Yeow Meng, 2004. "Paying for high- and low-quality teaching," Economics of Education Review, Elsevier, vol. 23(4), pages 411-430, August.
    3. Abhijit V. Banerjee & Shawn Cole & Esther Duflo & Leigh Linden, 2007. "Remedying Education: Evidence from Two Randomized Experiments in India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1235-1264.
    4. Brian A. Jacob & Lars Lefgren, 2008. "Can Principals Identify Effective Teachers? Evidence on Subjective Performance Evaluation in Education," Journal of Labor Economics, University of Chicago Press, vol. 26(1), pages 101-136.
    5. Kane, Thomas J. & Rockoff, Jonah E. & Staiger, Douglas O., 2008. "What does certification tell us about teacher effectiveness? Evidence from New York City," Economics of Education Review, Elsevier, vol. 27(6), pages 615-631, December.
    6. Rouse, Cecilia Elena & Krueger, Alan B., 2004. "Putting computerized instruction to the test: a randomized evaluation of a "scientifically based" reading program," Economics of Education Review, Elsevier, vol. 23(4), pages 323-338, August.
    7. Aslam, Monazza & Kingdon, Geeta, 2011. "What can teachers do to raise pupil achievement?," Economics of Education Review, Elsevier, vol. 30(3), pages 559-574, June.
    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. Wuppermann, Amelie Catherine, 2011. "Empirical Essays in Health and Education Economics," Munich Dissertations in Economics 13187, University of Munich, Department of Economics.
    2. Cordero, Jose M. & Gil-Izquierdo, María, 2018. "The effect of teaching strategies on student achievement: An analysis using TALIS-PISA-link," Journal of Policy Modeling, Elsevier, vol. 40(6), pages 1313-1331.
    3. Rockoff, Jonah E. & Speroni, Cecilia, 2011. "Subjective and objective evaluations of teacher effectiveness: Evidence from New York City," Labour Economics, Elsevier, vol. 18(5), pages 687-696, October.
    4. Jesse Rothstein, 2010. "Teacher Quality in Educational Production: Tracking, Decay, and Student Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 175-214.
    5. repec:pri:cepsud:170rothstein is not listed on IDEAS
    6. Comi, Simona Lorena & Argentin, Gianluca & Gui, Marco & Origo, Federica & Pagani, Laura, 2017. "Is it the way they use it? Teachers, ICT and student achievement," Economics of Education Review, Elsevier, vol. 56(C), pages 24-39.
    7. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    8. Goldhaber, Dan & Krieg, John & Theobald, Roddy, 2020. "Effective like me? Does having a more productive mentor improve the productivity of mentees?," Labour Economics, Elsevier, vol. 63(C).
    9. Jesse Rothstein, 2009. "Student Sorting and Bias in Value-Added Estimation: Selection on Observables and Unobservables," Education Finance and Policy, MIT Press, vol. 4(4), pages 537-571, October.
    10. Eren, Ozkan & Henderson, Daniel J., 2011. "Are we wasting our children's time by giving them more homework?," Economics of Education Review, Elsevier, vol. 30(5), pages 950-961, October.
    11. Jesse Rothstein, 2009. "Student Sorting and Bias in Value-Added Estimation: Selection on Observables and Unobservables," Education Finance and Policy, MIT Press, vol. 4(4), pages 537-571, October.
    12. Daniel Santín & Gabriela Sicilia, 2018. "Using DEA for measuring teachers’ performance and the impact on students’ outcomes: evidence for Spain," Journal of Productivity Analysis, Springer, vol. 49(1), pages 1-15, February.
    13. Vegas, E & Ganimian, A. J., 2013. "Theory and Evidence on Teacher Policies in Developed and Developing Countries," Working Paper 104291, Harvard University OpenScholar.
    14. Murphy, Richard & Weinhardt, Felix & Wyness, Gill, 2021. "Who teaches the teachers? A RCT of peer-to-peer observation and feedback in 181 schools," Economics of Education Review, Elsevier, vol. 82(C).
    15. Oliver Falck & Constantin Mang & Ludger Woessmann, 2018. "Virtually No Effect? Different Uses of Classroom Computers and their Effect on Student Achievement," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(1), pages 1-38, February.
    16. Scott E. Carrell & James E. West, 2010. "Does Professor Quality Matter? Evidence from Random Assignment of Students to Professors," Journal of Political Economy, University of Chicago Press, vol. 118(3), pages 409-432, June.
    17. Martins, Pedro S., 2017. "(How) Do Non-Cognitive Skills Programs Improve Adolescent School Achievement? Experimental Evidence," IZA Discussion Papers 10950, IZA Network @ LISER.
    18. Hanushek, Eric A., 2011. "The economic value of higher teacher quality," Economics of Education Review, Elsevier, vol. 30(3), pages 466-479, June.
    19. Jian Zhang & Songqing Jin & Wei Si, 2020. "Incentivising teachers? Evaluating the incentive effect of China’s teacher performance‐based compensation reform in rural China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(1), pages 171-188, January.
    20. Kirabo Jackson & Alexey Makarin, 2018. "Can Online Off-the-Shelf Lessons Improve Student Outcomes? Evidence from a Field Experiment," American Economic Journal: Economic Policy, American Economic Association, vol. 10(3), pages 226-254, August.
    21. Metzler, Johannes & Woessmann, Ludger, 2012. "The impact of teacher subject knowledge on student achievement: Evidence from within-teacher within-student variation," Journal of Development Economics, Elsevier, vol. 99(2), pages 486-496.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    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:ces:ceswps:_2634. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.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.