The Evidence on Teaching

Measuring the Impacts of Teachers: Comment

Rothstein J · 2017

grade Bcritiqueindependentmixed
Sample
North Carolina statewide administrative panel
Population
North Carolina public-school students and teachers.
Design
Replicates the Chetty-Friedman-Rockoff design in a different state and adds a placebo test: value-added should not predict students' PRIOR-year scores. It does, which implies assignment is not random conditional on the controls.
Key findings
The most serious challenge to value-added: a placebo test that value-added fails in North Carolina data, bounding potential bias at 10-35% of VA variance. The exchange does not overturn VA, but it should stop anyone using single-year VA as a high-stakes number.
Genetic confound
This IS the confound argument: students are sorted to teachers on characteristics (partly heritable, partly parental) that prior-score controls do not fully absorb.
Replication notes
Answered by Chetty, Friedman & Rockoff's reply (doi:10.1257/aer.20170108) and by Bacher-Hicks et al., who show the placebo test rejects designs that are valid by construction in simulation. The honest unresolved band is 'bias modest, not reversal'.

Effects

OutcomeMetricValueMeasureTimingVsHorizonClass
Placebo test on pre-treatment scoresbias sharefails — implying 10-35% of value-added variance could be biasstandardizedn/anonenot-applicabledomain-skill

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