Estimating the efficiency of Philippine public high schools using spatio-temporal stochastic frontier analysis

This paper proposes a method for modeling production function of education using a stochastic frontier model with spatial temporal terms. Using a unique dataset that combines school achievement scores with school characteristics from 2005-2008, the efficiency of 4,900 public high schools in the Phil...

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Main Authors: Abrigo, Michael Ralph M., Lavado, Rouselle F., Barrios, Erniel B., Gozun, Brian C.
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Published: Animo Repository 2014
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/1051
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-20502022-08-26T03:04:25Z Estimating the efficiency of Philippine public high schools using spatio-temporal stochastic frontier analysis Abrigo, Michael Ralph M. Lavado, Rouselle F. Barrios, Erniel B. Gozun, Brian C. This paper proposes a method for modeling production function of education using a stochastic frontier model with spatial temporal terms. Using a unique dataset that combines school achievement scores with school characteristics from 2005-2008, the efficiency of 4,900 public high schools in the Philippines in converting school inputs into test scores was estimated. Results show that the average inefficiency is at 41% and that there is a significant positive spatial externality in efficiency, which means that efficiency in one school can spill over to its neighbors. The model was found to be robust to various environmental variables included in the estimation. The results of the study will be important to guide policy makers in allocating limited resources to public schools. © 2014 by De La Salle University, Manila, Philippines. 2014-02-04T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/1051 Faculty Research Work Animo Repository
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
description This paper proposes a method for modeling production function of education using a stochastic frontier model with spatial temporal terms. Using a unique dataset that combines school achievement scores with school characteristics from 2005-2008, the efficiency of 4,900 public high schools in the Philippines in converting school inputs into test scores was estimated. Results show that the average inefficiency is at 41% and that there is a significant positive spatial externality in efficiency, which means that efficiency in one school can spill over to its neighbors. The model was found to be robust to various environmental variables included in the estimation. The results of the study will be important to guide policy makers in allocating limited resources to public schools. © 2014 by De La Salle University, Manila, Philippines.
format text
author Abrigo, Michael Ralph M.
Lavado, Rouselle F.
Barrios, Erniel B.
Gozun, Brian C.
spellingShingle Abrigo, Michael Ralph M.
Lavado, Rouselle F.
Barrios, Erniel B.
Gozun, Brian C.
Estimating the efficiency of Philippine public high schools using spatio-temporal stochastic frontier analysis
author_facet Abrigo, Michael Ralph M.
Lavado, Rouselle F.
Barrios, Erniel B.
Gozun, Brian C.
author_sort Abrigo, Michael Ralph M.
title Estimating the efficiency of Philippine public high schools using spatio-temporal stochastic frontier analysis
title_short Estimating the efficiency of Philippine public high schools using spatio-temporal stochastic frontier analysis
title_full Estimating the efficiency of Philippine public high schools using spatio-temporal stochastic frontier analysis
title_fullStr Estimating the efficiency of Philippine public high schools using spatio-temporal stochastic frontier analysis
title_full_unstemmed Estimating the efficiency of Philippine public high schools using spatio-temporal stochastic frontier analysis
title_sort estimating the efficiency of philippine public high schools using spatio-temporal stochastic frontier analysis
publisher Animo Repository
publishDate 2014
url https://animorepository.dlsu.edu.ph/faculty_research/1051
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