The recent literature on school quality has shown that the school a
child attends has significant effects on achievement. However, the
literature relating different school characteristics to student
achievement has produced mixed results, particularly when using
student-level data. Using data from the ECLS-K and a proxy variable
model that addresses the problem of measuring school quality, we show
that significant effects of teaching and resource quality can be
detected from student-level data. We find a significant, positive
relationship between school quality and student achievement if school
characteristics such as class size and teachers' schooling are treated
as noisy measures of school quality. However, this effect is not
detected when using models which do not account for measurement error in
school quality. Our results suggest that conventional approaches
underestimate the effect of school quality by about 50%.
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