Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates

S-Tier
Journal: American Economic Review
Year: 2014
Volume: 104
Issue: 9
Pages: 2593-2632

Authors (3)

Raj Chetty (not in RePEc) John N. Friedman (Brown University) Jonah E. Rockoff (not in RePEc)

Score contribution per author:

2.681 = (α=2.01 / 3 authors) × 4.0x S-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

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 exhibit little bias in forecasting teachers' impacts on student achievement.

Technical Details

RePEc Handle
repec:aea:aecrev:v:104:y:2014:i:9:p:2593-2632
Journal Field
General
Author Count
3
Added to Database
2026-01-25