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Replication data for: Measuring the Impacts of Teachers: Comment

Version
V0
Resource Type
Dataset
Creator
  • Rothstein, Jesse
Publication Date
2017-06-01
Description
  • Abstract

    Chetty, Friedman, and Rockoff (2014a, b) study value-added (VA) measures of teacher effectiveness. CFR (2014a) exploits teacher switching as a quasi-experiment, concluding that student sorting creates negligible bias in VA scores. CFR (2014b) finds VA scores are useful proxies for teachers' effects on students' long-run outcomes. I successfully reproduce each in North Carolina data. But I find that the quasi-experiment is invalid, as teacher switching is correlated with changes in student preparedness. Adjusting for this, I find moderate bias in VA scores, perhaps 10-35 percent as large, in variance terms, as teachers' causal effects. Long-run results are sensitive to controls and cannot support strong conclusions.
Availability
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Relations
  • Is supplement to
    DOI: 10.1257/aer.20141440 (Text)
Publications
  • Rothstein, Jesse. “Measuring the Impacts of Teachers: Comment.” American Economic Review 107, no. 6 (June 2017): 1656–84. https://doi.org/10.1257/aer.20141440.
    • ID: 10.1257/aer.20141440 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-10-12

Rothstein, Jesse (2017): Replication data for: Measuring the Impacts of Teachers: Comment. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E113018