2006Journal of Labor EconomicsRequires access

Teachers and Student Achievement in the Chicago Public High Schools

Daniel Aaronson, Lisa Barrow, William Sander

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Abstract

We estimate the importance of teachers in Chicago public high schools using matched student‐teacher administrative data. A one standard deviation, one semester improvement in math teacher quality raises student math scores by 0.13 grade equivalents or, over 1 year, roughly one‐fifth of average yearly gains. Estimates are relatively stable over time, reasonably impervious to a variety of conditioning variables, and do not appear to be driven by classroom sorting or selective score reporting. Also, teacher quality is particularly important for lower‐ability students. Finally, traditional human capital measures—including those determining compensation—explain little of the variation in estimated quality.

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We estimate the importance of teachers in Chicago public high schools using matched student‐teacher administrative data. A one standard deviation, one semester improvement in math teacher quality raises student math scores by 0.13 grade equivalents or, over 1 year, roughly one‐fifth of average yearly gains. Estimates are relatively stable over time, reasonably impervious to a variety of conditioning variables, and do not appear to be driven by classroom sorting or selective score reporting. Also, teacher quality is particularly important for lower‐ability students. Finally, traditional human capital measures—including those determining compensation—explain little of the variation in estimated quality.

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Available abstract

We estimate the importance of teachers in Chicago public high schools using matched student‐teacher administrative data. A one standard deviation, one semester improvement in math teacher quality raises student math scores by 0.13 grade equivalents or, over 1 year, roughly one‐fifth of average yearly gains. Estimates are relatively stable over time, reasonably impervious to a variety of conditioning variables, and do not appear to be driven by classroom sorting or selective score reporting. Also, teacher quality is particularly important for lower‐ability students. Finally, traditional human capital measures—including those determining compensation—explain little of the variation in estimated quality.

Key concepts: Teacher quality, Human capital, Sorting, Quality (philosophy), Mathematics education, Compensation (psychology), Variation (astronomy), Student achievement

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