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An empirical analysis of teacher spillover effects in secondary school

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  • Koedel, Cory

Abstract

This paper examines whether educational production in secondary school involves joint production among teachers across subjects. In doing so, it also provides insights into the reliability of value-added modeling. Teacher value-added to reading test scores is estimated for four different teacher types: English, math, science and social-studies. The initial results indicate that reading output is jointly produced by math and English teachers. However, while falsification tests confirm the English-teacher effects, they cast some doubt about whether the math-teacher effects are free from sorting bias. The results offer a mixed review of the value-added methodology, suggesting that it can be useful but should be implemented cautiously.

Suggested Citation

  • Koedel, Cory, 2009. "An empirical analysis of teacher spillover effects in secondary school," Economics of Education Review, Elsevier, vol. 28(6), pages 682-692, December.
  • Handle: RePEc:eee:ecoedu:v:28:y:2009:i:6:p:682-692
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    References listed on IDEAS

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    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. Jesse Rothstein, 2010. "Teacher Quality in Educational Production: Tracking, Decay, and Student Achievement," The Quarterly Journal of Economics, Oxford University Press, vol. 125(1), pages 175-214.
    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, 2002. "The Promise and Pitfalls of Using Imprecise School Accountability Measures," Journal of Economic Perspectives, American Economic Association, vol. 16(4), pages 91-114, Fall.
    5. Cory Koedel & Julian Betts, 2010. "Value Added to What? How a Ceiling in the Testing Instrument Influences Value-Added Estimation," Education Finance and Policy, MIT Press, vol. 5(1), pages 54-81, January.
    6. 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, pages 95-135.
    7. Sass, Tim R. & Semykina, Anastasia & Harris, Douglas N., 2014. "Value-added models and the measurement of teacher productivity," Economics of Education Review, Elsevier, vol. 38(C), pages 9-23.
    8. Eric A. Hanushek & John F. Kain & Steven G. Rivkin & Daniel M. O'Brien, 2005. "The Market for Teacher Quality," Discussion Papers 04-025, Stanford Institute for Economic Policy Research.
    9. Cory Koedel & Julian Betts, 2007. "Re-Examining the Role of Teacher Quality In the Educational Production Function," Working Papers 0708, Department of Economics, University of Missouri.
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    Cited by:

    1. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education, Elsevier.
    2. Harris, Douglas N. & Sass, Tim R., 2011. "Teacher training, teacher quality and student achievement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 798-812, August.
    3. C. Kirabo Jackson, 2012. "Non-Cognitive Ability, Test Scores, and Teacher Quality: Evidence from 9th Grade Teachers in North Carolina," NBER Working Papers 18624, National Bureau of Economic Research, Inc.
    4. Rajeev Darolia & Cory Koedel, 2016. "High Schools and Students’ Initial Colleges and Majors," Working Papers WP16-09, Department of Economics, University of Missouri, revised Apr 2017.
    5. Peter Arcidiacono & Cory Koedel, 2014. "Race and College Success: Evidence from Missouri," American Economic Journal: Applied Economics, American Economic Association, vol. 6(3), pages 20-57, July.
    6. Cory Koedel & Julian Betts, 2010. "Value Added to What? How a Ceiling in the Testing Instrument Influences Value-Added Estimation," Education Finance and Policy, MIT Press, vol. 5(1), pages 54-81, January.
    7. Douglas O. Staiger & Jonah E. Rockoff, 2010. "Searching for Effective Teachers with Imperfect Information," Journal of Economic Perspectives, American Economic Association, vol. 24(3), pages 97-118, Summer.
    8. repec:mpr:mprres:7727 is not listed on IDEAS
    9. Ali Protik & Steven Glazerman & Julie Bruch & Bing-ru Teh, 2015. "Staffing a Low-Performing School: Behavioral Responses to Selective Teacher Transfer Incentives," Education Finance and Policy, MIT Press, vol. 10(4), pages 573-610, October.
    10. Koedel, Cory & Mihaly, Kata & Rockoff, Jonah E., 2015. "Value-added modeling: A review," Economics of Education Review, Elsevier, vol. 47(C), pages 180-195.
    11. C. Kirabo Jackson & Elias Bruegmann, 2009. "Teaching Students and Teaching Each Other: The Importance of Peer Learning for Teachers," American Economic Journal: Applied Economics, American Economic Association, vol. 1(4), pages 85-108, October.
    12. C. Kirabo Jackson, 2014. "Teacher Quality at the High School Level: The Importance of Accounting for Tracks," Journal of Labor Economics, University of Chicago Press, vol. 32(4), pages 645-684.
    13. Richard Buddin & Gema Zamarro, 2009. "Teacher Effectiveness in Urban High Schools," Working Papers 693, RAND Corporation.
    14. Ali Protik & Elias Walsh & Alexandra Resch & Eric Isenberg & Emma Kopa, 2013. "Does Tracking of Students Bias Value-Added Estimates for Teachers?," Mathematica Policy Research Reports bc26562de576484b9c40626f2, Mathematica Policy Research.
    15. repec:mpr:mprres:7996 is not listed on IDEAS
    16. von Hippel, Paul T. & Bellows, Laura & Osborne, Cynthia & Lincove, Jane Arnold & Mills, Nick, 2016. "Teacher quality differences between teacher preparation programs: How big? How reliable? Which programs are different?," Economics of Education Review, Elsevier, vol. 53(C), pages 31-45.
    17. Cory Koedel & Eric Parsons & Michael Podgursky & Mark Ehlert, 2015. "Teacher Preparation Programs and Teacher Quality: Are There Real Differences Across Programs?," Education Finance and Policy, MIT Press, vol. 10(4), pages 508-534, October.
    18. Richard Buddin & Gema Zamarro, 2009. "Teacher Effectiveness in Urban High Schools," Working Papers WR-693-IES, RAND Corporation.

    More about this item

    Keywords

    Input output analysis Educational economics Resource allocation;

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General

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