Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates
Are teachersʼ impacts on studentsʼ 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 teachersʼ 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 studentʼs prior test scores exhibit little bias in forecasting teachersʼ impacts on student achievement.
Document Object Identifier (DOI): 10.3386/w19423
Published: 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, American Economic Association, vol. 104(9), pages 2593-2632, September. citation courtesy of
Users who downloaded this paper also downloaded* these: