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Measuring the Impacts of Teachers I

Evaluating Bias in Teacher Value-Added Estimates

Bibliographic Data

ID23340577
AuthorsRaj Chetty (0000-0002-7868-4647, Harvard University, Littauer Center 226, Cambridge, MA 02138 (e-mail: )), John N Friedman (Harvard University, Taubman Center 356, Cambridge, MA 02138 (e-mail: )), Jonah E Rockoff (Columbia University, Uris 603, New York, NY 10027 (e-mail: ))
Year2014
Volume104
Issue9
Pages2593-2632
Publication date2014-09-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Economic Review (JOURNAL)
Journal identifiersISSN: 0002-8282 • E-ISSN: 1944-7981
PublisherAmerican Economic Association (PUBLISHER • US)
DOI10.1257/aer.104.9.2593
OpenAlexW1984288743
LanguageEN
Citations received233
References cited21

Are teachers' impacts on students' test scores (value-added) a good measure of their quality? One reason this question has sparked debate is disagreement about whether value-added (VA) measures provide unbiased estimates of teachers' causal impacts on student achievement. We test for bias in VA using previously unobserved parent characteristics and a quasi-experimental design based on changes in teaching staff. Using school district and tax records for more than one million children, we find that VA models which control for a student's prior test scores provide unbiased forecasts of teachers' impacts on student achievement. (JEL H75, I21, J24, J45)

Academic achievement · Actuarial science · Control (management) · Econometrics · Economics · Management · Mathematics education · Measure (data warehouse) · Operations management · Physics · Quality (philosophy) · School district · Statistics · Student achievement · Teacher Quality · Test (biology) · Value (mathematics) · Computer Science · Higher Education Research Studies · Innovations in Educational Methods · Mathematics · Psychology · School Choice and Performance

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Unique citing works233
Citations per year19,42
Citation span2014 - 2026 (13)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 218

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