Technical efficiency of public middle schools in New York City

William C. Horrace; Michah W. Rothbart; Yi Yang

doi:10.1016/j.econedurev.2021.102216

Technical efficiency of public middle schools in New York City

William C. Horrace, Michah W. Rothbart, Yi Yang

Department of Economics

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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 New York City public middle schools from 2014 to 2016. We compare several measures of transient technical inefficiency and show that around 58% of New York City 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.

Original language	English (US)
Article number	102216
Journal	Economics of Education Review
Volume	86
DOIs	https://doi.org/10.1016/j.econedurev.2021.102216
State	Published - Feb 2022

Keywords

Education
Mode
Ranking and selection
Stochastic frontier

ASJC Scopus subject areas

Education
Economics and Econometrics

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10.1016/j.econedurev.2021.102216

Cite this

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title = "Technical efficiency of public middle schools in New York City",

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 New York City public middle schools from 2014 to 2016. We compare several measures of transient technical inefficiency and show that around 58% of New York City 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.",

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AU - Rothbart, Michah W.

AU - Yang, Yi

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N2 - 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 New York City public middle schools from 2014 to 2016. We compare several measures of transient technical inefficiency and show that around 58% of New York City 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.

AB - 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 New York City public middle schools from 2014 to 2016. We compare several measures of transient technical inefficiency and show that around 58% of New York City 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.

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KW - Ranking and selection

KW - Stochastic frontier

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Technical efficiency of public middle schools in New York City

Abstract

Keywords

ASJC Scopus subject areas

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