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

Principal Investigator(s): View help for Principal Investigator(s) Raj Chetty; John N. Friedman; Jonah E. Rockoff

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Project Citation:

Chetty, Raj, Friedman, John N., and Rockoff, Jonah E. Replication data for: Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates. Nashville, TN: American Economic Association [publisher], 2014. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112849V1

Project Description

Summary: 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.

Scope of Project

JEL Classification:
      H75 State and Local Government: Health; Education; Welfare; Public Pensions
      I21 Analysis of Education
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      J45 Public Sector Labor Markets

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Published Versions

V1 [2019-10-11]

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