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Assessing the "Rothstein Falsification Test": Does It Really Show Teacher Value-Added Models Are Biased?

Author

Listed:
  • Dan Goldhaber
  • Duncan Dunbar Chaplin

Abstract

In an influential paper, Jesse Rothstein (2010) shows that standard value-added models (VAMs) suggest implausible and large future teacher effects on past student achievement.

Suggested Citation

  • 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.
    • Handle: RePEc:mpr:mprres:93f34c834817419a9efccecdf9c28e0c
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    File URL: http://www.tandfonline.com/doi/full/10.1080/19345747.2014.978059#.VLgo43Yo7q4
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    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
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    Cited by:

    1. Goldhaber, Dan & Cowan, James & Walch, Joe, 2013. "Is a good elementary teacher always good? Assessing teacher performance estimates across subjects," Economics of Education Review, Elsevier, vol. 36(C), pages 216-228.
    2. Cory Koedel & Jiaxi Li, 2016. "The Efficiency Implications Of Using Proportional Evaluations To Shape The Teaching Workforce," Contemporary Economic Policy, Western Economic Association International, vol. 34(1), pages 47-62, January.
    3. Koedel Cory & Leatherman Rebecca & Parsons Eric, 2012. "Test Measurement Error and Inference from Value-Added Models," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-37, November.
    4. Stacy, Brian, 2014. "Ranking Teachers when Teacher Value-Added is Heterogeneous Across Students," EconStor Preprints 104743, ZBW - Leibniz Information Centre for Economics.
    5. Stacy, Brian & Guarino, Cassandra & Wooldridge, Jeffrey, 2018. "Does the precision and stability of value-added estimates of teacher performance depend on the types of students they serve?," Economics of Education Review, Elsevier, vol. 64(C), pages 50-74.
    6. repec:mpr:mprres:7896 is not listed on IDEAS
    7. repec:mpr:mprres:7482 is not listed on IDEAS
    8. Heinrich Hock & Eric Isenberg, "undated". "Methods for Accounting for Co-Teaching in Value-Added Models," Mathematica Policy Research Reports e53ebf9f792e48dca345a4bba, Mathematica Policy Research.
    9. repec:mpr:mprres:7817 is not listed on IDEAS
    10. 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.
    11. 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.
    12. Elias Walsh & Stephen Lipscomb, "undated". "Classroom Observations from Phase 2 of the Pennsylvania Teacher Evaluation Pilot: Assessing Internal Consistency, Score Variation, and Relationships with Value Added," Mathematica Policy Research Reports a6b29a4a217f42a09d5206cfe, Mathematica Policy Research.
    13. Brian Gill & Julie Bruch & Kevin Booker, 2013. "Using Alternative Student Growth Measures for Evaluating Teacher Performance: What the Literature Says," Mathematica Policy Research Reports 85b7a88ce0cf4597a7efd7a21, Mathematica Policy Research.
    14. Koedel, Cory & Mihaly, Kata & Rockoff, Jonah E., 2015. "Value-added modeling: A review," Economics of Education Review, Elsevier, vol. 47(C), pages 180-195.
    15. Heikki Pursiainen & Mika Kortelainen & Jenni Pääkkönen, 2014. "Impact of School Quality on Educational Attainment - Evidence from Finnish High Schools," ERSA conference papers ersa14p711, European Regional Science Association.

    More about this item

    Keywords

    Value added ; falsification tests ; teacher evaluation;
    All these keywords.

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