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Efficiency, costs, rankings and heterogeneity: the case of US higher education

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Efficiency, costs, rankings and heterogeneity: the case of US higher education. / Agasisti, Tommaso; Johnes, Geraint.
In: Studies in Higher Education, Vol. 40, No. 1, 2015, p. 60-82.

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Agasisti T, Johnes G. Efficiency, costs, rankings and heterogeneity: the case of US higher education. Studies in Higher Education. 2015;40(1):60-82. Epub 2013 Aug 19. doi: 10.1080/03075079.2013.818644

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Agasisti, Tommaso ; Johnes, Geraint. / Efficiency, costs, rankings and heterogeneity : the case of US higher education. In: Studies in Higher Education. 2015 ; Vol. 40, No. 1. pp. 60-82.

Bibtex

@article{5ee7aeb00ca3404985bbd5eafcae874f,
title = "Efficiency, costs, rankings and heterogeneity: the case of US higher education",
abstract = "In this paper, we estimate a variety of models to evaluate costs in US higher education institutions. A particularly innovative feature of our approach involves the estimation of latent class and random parameter stochastic frontier models of a multiproduct cost function: this allows us fully to accommodate both the heterogeneity across institutions and the presence of technical inefficiencies. Such methodological strategy is essential in analyzing the US HE system, which is characterized by a strong internal differentiation. Our main findings are two. First, on public policy grounds, the estimates suggest that global economies could be achieved by effecting a reduction in the number of institutions providing undergraduate instruction, while increasing the number of institutions engaged in postgraduate activity. Second, the current existing rankings turn out as coherent with ratings provided by the calculation of efficiency scores. ",
keywords = "costs, efficiency , rankings , stochastic frontier , latent class, random parameter",
author = "Tommaso Agasisti and Geraint Johnes",
year = "2015",
doi = "10.1080/03075079.2013.818644",
language = "English",
volume = "40",
pages = "60--82",
journal = "Studies in Higher Education",
issn = "0307-5079",
publisher = "Routledge",
number = "1",

}

RIS

TY - JOUR

T1 - Efficiency, costs, rankings and heterogeneity

T2 - the case of US higher education

AU - Agasisti, Tommaso

AU - Johnes, Geraint

PY - 2015

Y1 - 2015

N2 - In this paper, we estimate a variety of models to evaluate costs in US higher education institutions. A particularly innovative feature of our approach involves the estimation of latent class and random parameter stochastic frontier models of a multiproduct cost function: this allows us fully to accommodate both the heterogeneity across institutions and the presence of technical inefficiencies. Such methodological strategy is essential in analyzing the US HE system, which is characterized by a strong internal differentiation. Our main findings are two. First, on public policy grounds, the estimates suggest that global economies could be achieved by effecting a reduction in the number of institutions providing undergraduate instruction, while increasing the number of institutions engaged in postgraduate activity. Second, the current existing rankings turn out as coherent with ratings provided by the calculation of efficiency scores.

AB - In this paper, we estimate a variety of models to evaluate costs in US higher education institutions. A particularly innovative feature of our approach involves the estimation of latent class and random parameter stochastic frontier models of a multiproduct cost function: this allows us fully to accommodate both the heterogeneity across institutions and the presence of technical inefficiencies. Such methodological strategy is essential in analyzing the US HE system, which is characterized by a strong internal differentiation. Our main findings are two. First, on public policy grounds, the estimates suggest that global economies could be achieved by effecting a reduction in the number of institutions providing undergraduate instruction, while increasing the number of institutions engaged in postgraduate activity. Second, the current existing rankings turn out as coherent with ratings provided by the calculation of efficiency scores.

KW - costs

KW - efficiency

KW - rankings

KW - stochastic frontier

KW - latent class

KW - random parameter

U2 - 10.1080/03075079.2013.818644

DO - 10.1080/03075079.2013.818644

M3 - Journal article

VL - 40

SP - 60

EP - 82

JO - Studies in Higher Education

JF - Studies in Higher Education

SN - 0307-5079

IS - 1

ER -