IDEAS home Printed from https://ideas.repec.org/p/auu/dpaper/619.html
   My bibliography  Save this paper

Estimating Teacher Effectiveness From Two-Year Changes in Students’ Test Scores

Author

Listed:
  • Andrew Leigh

Abstract

Using a dataset covering over 10,000 Australian primary school teachers and over 90,000 pupils, I estimate how effective teachers are in raising students’ test scores from one exam to the next. Since the exams are conducted only every two years, it is necessary to take account of the teacher’s work in the intervening year. Even after adjusting for measurement error, the resulting teacher fixed effects are widely dispersed across teachers, and there is a strong positive correlation between a teacher’s gains in literacy and numeracy. Teacher fixed effects show a significant association with some, though not all, observable teacher characteristics. Experience has the strongest effect, with a large effect in the early years of a teacher’s career. Female teachers do better at teaching literacy. Teachers with a master’s degree or some other form of further qualification do not appear to achieve significantly larger test score gains. Overall, teacher characteristics found in the departmental payroll database can explain only a small fraction of the variance in teacher performance.

Suggested Citation

  • Andrew Leigh, 2009. "Estimating Teacher Effectiveness From Two-Year Changes in Students’ Test Scores," CEPR Discussion Papers 619, Centre for Economic Policy Research, Research School of Economics, Australian National University.
  • Handle: RePEc:auu:dpaper:619
    as

    Download full text from publisher

    File URL: https://www.cbe.anu.edu.au/researchpapers/CEPR/DP619.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, March.
    2. Thomas Cornelissen, 2008. "The Stata command felsdvreg to fit a linear model with two high-dimensional fixed effects," Stata Journal, StataCorp LP, vol. 8(2), pages 170-189, June.
    3. Jonah E. Rockoff, 2004. "The Impact of Individual Teachers on Student Achievement: Evidence from Panel Data," American Economic Review, American Economic Association, vol. 94(2), pages 247-252, May.
    4. Thomas J. Kane & Douglas O. Staiger, 2008. "Estimating Teacher Impacts on Student Achievement: An Experimental Evaluation," NBER Working Papers 14607, National Bureau of Economic Research, Inc.
    5. Andrew Leigh & Chris Ryan, 2006. "How and Why has Teacher Quality Changed in Australia?," CEPR Discussion Papers 534, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    6. Eric A. Hanushek & Margaret E. Raymond, 2002. "Improving educational quality: how best to evaluate our schools," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 47(Jun), pages 193-247.
    7. Eric A. Hanushek, "undated". "The Evidence on Class Size," Wallis Working Papers WP10, University of Rochester - Wallis Institute of Political Economy.
    8. Caroline M. Hoxby, 2000. "The Effects of Class Size on Student Achievement: New Evidence from Population Variation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(4), pages 1239-1285.
    9. Austin Nichols, 2008. "FESE: Stata module to calculate standard errors for fixed effects," Statistical Software Components S456914, Boston College Department of Economics, revised 05 Sep 2008.
    10. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
    11. Daniel Aaronson & Lisa Barrow & William Sander, 2007. "Teachers and Student Achievement in the Chicago Public High Schools," Journal of Labor Economics, University of Chicago Press, vol. 25(1), pages 95-135.
    12. Leigh, Andrew, 2012. "Teacher pay and teacher aptitude," Economics of Education Review, Elsevier, vol. 31(3), pages 41-53.
    13. Hanushek, Eric A. & Rivkin, Steven G., 2006. "Teacher Quality," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 2, chapter 18, pages 1051-1078, Elsevier.
    14. Erik Hanushek & F. Welch (ed.), 2006. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 1, number 1, June.
    15. Andrew Leigh & Chris Ryan, 2008. "How and Why Has Teacher Quality Changed in Australia?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 41(2), pages 141-159, June.
    16. Erik Hanushek & F. Welch (ed.), 2006. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 2, number 2, June.
    17. Steve Bradley & Mirko Draca & Colin Green & Gareth Leeves, 2007. "The magnitude of educational disadvantage of indigenous minority groups in Australia," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(3), pages 547-569, July.
    18. Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-266, May.
    19. Christopher Jepsen & Steven Rivkin, 2009. "Class Size Reduction and Student Achievement: The Potential Tradeoff between Teacher Quality and Class Size," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).
    20. Andrew Leigh & Xiaodong Gong, 2009. "Estimating cognitive gaps between Indigenous and non-Indigenous Australians," Education Economics, Taylor & Francis Journals, vol. 17(2), pages 239-261.
    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. Goel, Deepti & Barooah, Bidisha, 2018. "Drivers of Student Performance: Evidence from Higher Secondary Public Schools in Delhi," GLO Discussion Paper Series 231, Global Labor Organization (GLO).
    2. Azam, Mehtabul & Kingdon, Geeta Gandhi, 2015. "Assessing teacher quality in India," Journal of Development Economics, Elsevier, vol. 117(C), pages 74-83.
    3. Knutsson, Daniel & Tyrefors, Björn, 2024. "Labor market effects of a youth summer employment program in Sweden," Working Paper Series 2024:5, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    4. Steven Bednar & Dora Gicheva, 2018. "Career Implications of Having a Female-Friendly Supervisor," ILR Review, Cornell University, ILR School, vol. 71(2), pages 426-457, March.
    5. Holmlund, Helena & Häggblom, Josefin & Lindahl, Erica, 2024. "The Boost for reading," Working Paper Series 2024:6, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    6. Mike Helal & Michael Coelli, 2016. "How Principals Affect Schools," Melbourne Institute Working Paper Series wp2016n18, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    7. Bernhard Enzi, 2017. "The Effect of Pre-Service Cognitive and Pedagogical Teacher Skills on Student Achievement Gains: Evidence from German Entry Screening Exams," ifo Working Paper Series 243, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    8. Andrew Leigh & Xiaodong Gong, 2009. "Estimating cognitive gaps between Indigenous and non-Indigenous Australians," Education Economics, Taylor & Francis Journals, vol. 17(2), pages 239-261.
    9. Nghiem, Son & Nguyen, Ha & Connelly, Luke, 2014. "The Efficiency of Australian Schools: Evidence from the NAPLAN Data 2009-2011," MPRA Paper 56231, University Library of Munich, Germany.
    10. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    11. Yi Long & Chris Nyland & Russell Smyth, 2016. "Fiscal Decentralisation, the Knowledge Economy and School Teachers’ Wages in Urban China," Monash Economics Working Papers 13-16, Monash University, Department of Economics.
    12. Son Nghiem & Ha Trong Nguyen & Luke B. Connelly, 2016. "The Efficiency of Australian Schools: A Nationwide Analysis Using Gains in Test Scores of Students as Outputs," Economic Papers, The Economic Society of Australia, vol. 35(3), pages 256-268, September.
    13. Andrew Leigh, 2013. "Revenge of the Nerds: The Economics of Education Reform," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 46(2), pages 227-233, June.
    14. Chris Ryan, 2017. "Secondary School Teacher Effects on Student Achievement in Australian Schools," Melbourne Institute Working Paper Series wp2017n11, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    15. Lagerström, Jonas, 2011. "How important are caseworkers – and why? New evidence from Swedish employment offices," Working Paper Series 2011:10, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    16. Coelli, Michael & Green, David A., 2012. "Leadership effects: school principals and student outcomes," Economics of Education Review, Elsevier, vol. 31(1), pages 92-109.
    17. Grönqvist, Erik & Hensvik, Lena & Thoresson, Anna, 2022. "Teacher career opportunities and school quality," Labour Economics, Elsevier, vol. 77(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. Hanushek, Eric A., 2011. "The economic value of higher teacher quality," Economics of Education Review, Elsevier, vol. 30(3), pages 466-479, June.
    2. Leigh, Andrew, 2012. "Teacher pay and teacher aptitude," Economics of Education Review, Elsevier, vol. 31(3), pages 41-53.
    3. 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.
    4. Eric A. Hanushek, 2008. "Incentives for Efficiency and Equity in the School System," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 9(s1), pages 5-27, May.
    5. 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.
    6. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    7. Grönqvist, Erik & Vlachos, Jonas, 2008. "One size fits all? The effects of teacher cognitive and non-cognitive abilities on student achievement," Working Paper Series 2008:25, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    8. Jesse Rothstein, 2007. "Do Value-Added Models Add Value? Tracking, Fixed Effects, and Causal Inference," Working Papers 1036, Princeton University, Department of Economics, Center for Economic Policy Studies..
    9. Rita Ginja & Julie Riise & Barton Willage & Alexander L.P. Willén, 2022. "Does Your Doctor Matter? Doctor Quality and Patient Outcomes," CESifo Working Paper Series 9788, CESifo.
    10. Bernal, Pedro & Mittag, Nikolas & Qureshi, Javaeria A., 2016. "Estimating effects of school quality using multiple proxies," Labour Economics, Elsevier, vol. 39(C), pages 1-10.
    11. Grönqvist, Erik & Vlachos, Jonas, 2008. "One Size Fits All? The Effects of Teacher Cognitive and Non-cognitive Abilities on Student," Working Paper Series 779, Research Institute of Industrial Economics.
    12. Jesse Rothstein, 2007. "Do Value-Added Models Add Value? Tracking, Fixed Effects, and Causal Inference," Working Papers 1036, Princeton University, Department of Economics, Center for Economic Policy Studies..
    13. Pau Balart & Antonio Cabrales, 2015. "La evaluación docente basada en el resultado como vía de mejora del sistema educativo," Studies on the Spanish Economy eee2015-13, FEDEA.
    14. Marine de Talancé, 2015. "Better Teachers, Better Results? Evidence from Rural Pakistan," Working Papers DT/2015/21, DIAL (Développement, Institutions et Mondialisation).
    15. Braga, Michela & Paccagnella, Marco & Pellizzari, Michele, 2014. "Evaluating students’ evaluations of professors," Economics of Education Review, Elsevier, vol. 41(C), pages 71-88.
    16. repec:pri:cepsud:159rothstein is not listed on IDEAS
    17. Condie, Scott & Lefgren, Lars & Sims, David, 2014. "Teacher heterogeneity, value-added and education policy," Economics of Education Review, Elsevier, vol. 40(C), pages 76-92.
    18. Gerald Eisenkopf & Pascal A. Sulser, 2016. "Randomized controlled trial of teaching methods: Do classroom experiments improve economic education in high schools?," The Journal of Economic Education, Taylor & Francis Journals, vol. 47(3), pages 211-225, July.
    19. Dhushyanth Raju, 2017. "Public School Teacher Management in Sri Lanka," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 18(1), pages 39-63, March.
    20. 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.
    21. C. Kirabo Jackson, 2013. "Match Quality, Worker Productivity, and Worker Mobility: Direct Evidence from Teachers," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1096-1116, October.

    More about this item

    Keywords

    educational economics; educational finance; efficiency; productivity;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    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:auu:dpaper:619. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/cpanuau.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.