Education, Mode, Ranking and Selection, Stochastic Frontier
Economic Policy | Economics | Public Affairs, Public Policy and Public Administration
Using panel data and a “true” fixed effect stochastic frontier model, we estimate persistent and transient technical inefficiency in mathematics (Math) and English Language Arts (ELA) test score gains in NYC public middle schools from 2014 to 2016. We compare several measures of transient technical inefficiency and show that around 58% of NYC middle schools are efficient in Math gains, while 16% are efficient in ELA gains. Multivariate inference techniques are used to determine subsets of efficient schools, providing actionable decision rules to help policymakers target resources and incentives.
Horrace, William C.; Rothbart, Michah W.; and Yang, Yi, "Technical Efficiency of Public Middle Schools in New York City" (2020). Center for Policy Research. 268.
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