Document Type

Working Paper

Date

12-2020

Keywords

Education, Mode, Ranking and Selection, Stochastic Frontier

Language

English

Disciplines

Economic Policy | Economics | Public Affairs, Public Policy and Public Administration

Description/Abstract

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.

ISBN

1525-3066

Additional Information

Working Paper No 235

Source

Local input

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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