IDEAS home Printed from https://ideas.repec.org/a/eee/pubeco/v140y2016icp51-72.html
   My bibliography  Save this article

Task-specific experience and task-specific talent: Decomposing the productivity of high school teachers

Author

Listed:
  • Cook, Jason B.
  • Mansfield, Richard K.

Abstract

We use administrative panel data to decompose worker performance into components relating to general talent, task-specific talent, general experience, and task-specific experience. We consider the context of high school teachers, in which tasks consist of teaching particular subjects in particular tracks. Using the timing of changes in the subjects and difficulty levels to which teachers are assigned to provide identifying variation, we show that a substantial part of the productivity gains to teacher experience are actually subject-specific. Similarly, while three-quarters of the variance in the permanent component of productivity among teachers is portable across subjects and levels, there exist non-trivial subject-specific and level-specific components. Counterfactual simulations suggest that maximizing the test-score contribution of task-specific experience and task-specific talent can increase student performance by as much as .04 test score standard deviations relative to random assignment of teachers to classrooms.

Suggested Citation

  • Cook, Jason B. & Mansfield, Richard K., 2016. "Task-specific experience and task-specific talent: Decomposing the productivity of high school teachers," Journal of Public Economics, Elsevier, vol. 140(C), pages 51-72.
  • Handle: RePEc:eee:pubeco:v:140:y:2016:i:c:p:51-72
    DOI: 10.1016/j.jpubeco.2016.04.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0047272716300299
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jpubeco.2016.04.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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. 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.
    3. 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.
    4. Papay, John P. & Kraft, Matthew A., 2015. "Productivity returns to experience in the teacher labor market: Methodological challenges and new evidence on long-term career improvement," Journal of Public Economics, Elsevier, vol. 130(C), pages 105-119.
    5. 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.
    6. 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.
    7. 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.
    8. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates," American Economic Review, American Economic Association, vol. 104(9), pages 2593-2632, September.
    9. Ben Ost, 2014. "How Do Teachers Improve? The Relative Importance of Specific and General Human Capital," American Economic Journal: Applied Economics, American Economic Association, vol. 6(2), pages 127-151, April.
    10. Christina Gathmann & Uta Schönberg, 2010. "How General Is Human Capital? A Task-Based Approach," Journal of Labor Economics, University of Chicago Press, vol. 28(1), pages 1-49, January.
    11. Josh Kinsler, 2012. "Assessing Rothstein's critique of teacher value‐added models," Quantitative Economics, Econometric Society, vol. 3(2), pages 333-362, July.
    12. Dan Goldhaber & Duncan Dunbar Chaplin, "undated". "Assessing the "Rothstein Falsification Test": Does It Really Show Teacher Value-Added Models Are Biased?," Mathematica Policy Research Reports 93f34c834817419a9efccecdf, Mathematica Policy Research.
    13. Raj Chetty & John N. Friedman & Jonah Rockoff, 2016. "Using Lagged Outcomes to Evaluate Bias in Value-Added Models," American Economic Review, American Economic Association, vol. 106(5), pages 393-399, May.
    14. Robert Gibbons & Michael Waldman, 2004. "Task-Specific Human Capital," American Economic Review, American Economic Association, vol. 94(2), pages 203-207, May.
    15. Donald Boyd & Hamilton Lankford & Susanna Loeb & Jonah Rockoff & James Wyckoff, 2008. "The narrowing gap in New York City teacher qualifications and its implications for student achievement in high-poverty schools," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 27(4), pages 793-818.
    16. 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.
    17. Richard K. Mansfield, 2015. "Teacher Quality and Student Inequality," Journal of Labor Economics, University of Chicago Press, vol. 33(3), pages 751-788.
    18. 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.
    19. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2006. "Teacher-Student Matching and the Assessment of Teacher Effectiveness," Journal of Human Resources, University of Wisconsin Press, vol. 41(4).
    20. J. R. Lockwood & Daniel F. McCaffrey, 2009. "Exploring Student-Teacher Interactions in Longitudinal Achievement Data," Education Finance and Policy, MIT Press, vol. 4(4), pages 439-467, October.
    21. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2010. "Teacher Credentials and Student Achievement in High School: A Cross-Subject Analysis with Student Fixed Effects," Journal of Human Resources, University of Wisconsin Press, vol. 45(3).
    22. Clotfelter, Charles T. & Ladd, Helen F. & Vigdor, Jacob L., 2007. "Teacher credentials and student achievement: Longitudinal analysis with student fixed effects," Economics of Education Review, Elsevier, vol. 26(6), pages 673-682, December.
    23. 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.
    24. Allison Atteberry & Susanna Loeb & James Wyckoff, 2013. "Do First Impressions Matter? Improvement in Early Career Teacher Effectiveness," NBER Working Papers 19096, National Bureau of Economic Research, Inc.
    25. Clement, Michael B. & Koonce, Lisa & Lopez, Thomas J., 2007. "The roles of task-specific forecasting experience and innate ability in understanding analyst forecasting performance," Journal of Accounting and Economics, Elsevier, vol. 44(3), pages 378-398, December.
    26. Joseph G. Altonji & Richard K. Mansfield, 2014. "Group-Average Observables as Controls for Sorting on Unobservables When Estimating Group Treatment Effects: the Case of School and Neighborhood Effects," NBER Working Papers 20781, National Bureau of Economic Research, Inc.
    27. 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.
    28. Shintaro Yamaguchi, 2012. "Tasks and Heterogeneous Human Capital," Journal of Labor Economics, University of Chicago Press, vol. 30(1), pages 1-53.
    29. Wiswall, Matthew, 2013. "The dynamics of teacher quality," Journal of Public Economics, Elsevier, vol. 100(C), pages 61-78.
    30. Ost, Ben & Schiman, Jeffrey C., 2015. "Grade-specific experience, grade reassignments, and teacher turnover," Economics of Education Review, Elsevier, vol. 46(C), pages 112-126.
    31. Douglas N. Harris, 2009. "Would Accountability Based on Teacher Value Added Be Smart Policy? An Examination of the Statistical Properties and Policy Alternatives," Education Finance and Policy, MIT Press, vol. 4(4), pages 319-350, 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. Javaeria Qureshi & Ben Ost, 2019. "Does Teacher‐Family Experience Affect Test Scores?," Contemporary Economic Policy, Western Economic Association International, vol. 37(3), pages 509-523, July.
    2. Nirav Mehta, 2022. "A Partial Identification Approach to Identifying the Determinants of Human Capital Accumulation: An Application to Teachers," University of Western Ontario, Departmental Research Report Series 20221, University of Western Ontario, Department of Economics.
    3. Pieter De Vlieger & Brian Jacob & Kevin Stange, 2018. "Measuring Instructor Effectiveness in Higher Education," NBER Chapters, in: Productivity in Higher Education, pages 209-258, National Bureau of Economic Research, Inc.
    4. DeAngelo, Gregory & Owens, Emily G., 2017. "Learning the ropes: General experience, task-Specific experience, and the output of police officers," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 368-377.
    5. Karol Kempa, 2022. "Task-specific human capital and returns to specialization: evidence from association football [All about balance? A test of the jack-of-all-trades theory using military enlistment data]," Oxford Economic Papers, Oxford University Press, vol. 74(1), pages 136-154.
    6. Decio Coviello & Andrea Ichino & Nicola Persico, 2019. "Measuring the Gains from Labor Specialization," Journal of Law and Economics, University of Chicago Press, vol. 62(3), pages 403-426.
    7. Williza Cordova & Joji Linaugo, 2022. "Pedagogical Content Knowledge Practices of Public School Science Teachers," Technium Social Sciences Journal, Technium Science, vol. 37(1), pages 37-50, November.
    8. Kevin C. Bastian, 2019. "A Degree Above? The Value-Added Estimates and Evaluation Ratings of Teachers with a Graduate Degree," Education Finance and Policy, MIT Press, vol. 14(4), pages 652-678, Fall.
    9. Sorina Ioana Mișu & Cătălina Radu & Alecxandrina Deaconu & Simona Toma, 2022. "How to Increase Teacher Performance through Engagement and Work Efficacy," Sustainability, MDPI, vol. 14(16), pages 1-28, August.
    10. repec:thr:techub:10037:y:2022:i:1:p:37-50 is not listed 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. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    2. Papay, John P. & Kraft, Matthew A., 2015. "Productivity returns to experience in the teacher labor market: Methodological challenges and new evidence on long-term career improvement," Journal of Public Economics, Elsevier, vol. 130(C), pages 105-119.
    3. Koedel, Cory & Mihaly, Kata & Rockoff, Jonah E., 2015. "Value-added modeling: A review," Economics of Education Review, Elsevier, vol. 47(C), pages 180-195.
    4. Stacy, Brian, 2014. "Ranking Teachers when Teacher Value-Added is Heterogeneous Across Students," EconStor Preprints 104743, ZBW - Leibniz Information Centre for Economics.
    5. Canales, Andrea & Maldonado, Luis, 2018. "Teacher quality and student achievement in Chile: Linking teachers' contribution and observable characteristics," International Journal of Educational Development, Elsevier, vol. 60(C), pages 33-50.
    6. Andrew Agopsowicz & Chris Robinson & Ralph Stinebrickner & Todd Stinebrickner, 2020. "Careers and Mismatch for College Graduates: College and Noncollege Jobs," Journal of Human Resources, University of Wisconsin Press, vol. 55(4), pages 1194-1221.
    7. Jose Maria Cabrera & Dinand Webbink, 2020. "Do Higher Salaries Yield Better Teachers and Better Student Outcomes?," Journal of Human Resources, University of Wisconsin Press, vol. 55(4), pages 1222-1257.
    8. Hanushek, Eric A. & Rivkin, Steven G. & Schiman, Jeffrey C., 2016. "Dynamic effects of teacher turnover on the quality of instruction," Economics of Education Review, Elsevier, vol. 55(C), pages 132-148.
    9. Harris, Douglas N. & Sass, Tim R., 2014. "Skills, productivity and the evaluation of teacher performance," Economics of Education Review, Elsevier, vol. 40(C), pages 183-204.
    10. Allison Atteberry & Susanna Loeb & James Wyckoff, 2013. "Do First Impressions Matter? Improvement in Early Career Teacher Effectiveness," NBER Working Papers 19096, National Bureau of Economic Research, Inc.
    11. Dinand Webbink & José María Cabrera, 2016. "Do higher salaries yield better teachers and better student outcomes?," Documentos de Trabajo/Working Papers 1604, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    12. Marine de Talancé, 2015. "Better Teachers, Better Results? Evidence from Rural Pakistan," Working Papers DT/2015/21, DIAL (Développement, Institutions et Mondialisation).
    13. Wiswall, Matthew, 2013. "The dynamics of teacher quality," Journal of Public Economics, Elsevier, vol. 100(C), pages 61-78.
    14. Helen F. Ladd & Lucy C. Sorensen, 2017. "Returns to Teacher Experience: Student Achievement and Motivation in Middle School," Education Finance and Policy, MIT Press, vol. 12(2), pages 241-279, Spring.
    15. Azam, Mehtabul & Kingdon, Geeta Gandhi, 2015. "Assessing teacher quality in India," Journal of Development Economics, Elsevier, vol. 117(C), pages 74-83.
    16. Hermann, Zoltán & Horváth, Hedvig, 2022. "Tanári eredményesség és tanár-diák összepárosítás az általános iskolákban. Empirikus mintázatok három magyarországi tankerület adatai alapján [Teacher effectiveness and teacher-student matching in ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1377-1406.
    17. Hinrichs, Peter, 2021. "What kind of teachers are schools looking for? Evidence from a randomized field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 395-411.
    18. Johan Coenen & Ilja Cornelisz & Wim Groot & Henriette Maassen van den Brink & Chris Van Klaveren, 2018. "Teacher Characteristics And Their Effects On Student Test Scores: A Systematic Review," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 848-877, July.
    19. Hendricks, Matthew D., 2015. "Towards an optimal teacher salary schedule: Designing base salary to attract and retain effective teachers," Economics of Education Review, Elsevier, vol. 47(C), pages 143-167.
    20. Michael Bates & Michael Dinerstein & Andrew C. Johnston & Isaac Sorkin, 2022. "Teacher Labor Market Equilibrium and Student Achievement," CESifo Working Paper Series 9551, CESifo.

    More about this item

    Keywords

    Task-specific human capital; Teacher experience; Teacher value-added; Teacher quality;
    All these keywords.

    JEL classification:

    • 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
    • J45 - Labor and Demographic Economics - - Particular Labor Markets - - - Public Sector Labor Markets
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production

    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:eee:pubeco:v:140:y:2016:i:c:p:51-72. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505578 .

    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.