Measuring the Impacts of Teachers: Comment

被引:47
作者
Rothstein, Jesse [1 ,2 ]
机构
[1] Univ Calif Berkeley, Goldman Sch Publ Policy, 2607 Hearst Ave 7320, Berkeley, CA 94720 USA
[2] Univ Calif Berkeley, Dept Econ, 2607 Hearst Ave 7320, Berkeley, CA 94720 USA
关键词
QUALITY; SELECTION; BIAS;
D O I
10.1257/aer.20141440
中图分类号
F [经济];
学科分类号
02 ;
摘要
Chetty, Friedman, and Rockoff (2014a, b) study value-added (VA) measures of teacher effectiveness. CFR (2014a) exploits teacher switching as a quasi-experiment, concluding that student sorting creates negligible bias in VA scores. CFR (2014b) finds VA scores are useful proxies for teachers' effects on students' long-run outcomes. I successfully reproduce each in North Carolina data. But I find that the quasi-experiment is invalid, as teacher switching is correlated with changes in student preparedness. Adjusting for this, I find moderate bias in VA scores, perhaps 10-35 percent as large, in variance terms, as teachers' causal effects. Long-run results are sensitive to controls and cannot support strong conclusions.
引用
收藏
页码:1656 / +
页数:30
相关论文
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