What about excellence in teaching? A benevolent ranking of universities

Witte, Kristof De; Hudrlíková, Lenka

doi:10.1007/s11192-013-0971-2

Cited by 41 publications

(19 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…in higher education De Witte and Hudrlikova, 2013). On the other hand, authors like or observe that student-teacher ratios in secondary education do not have significant influence on students' results.…”

Section: Mixed Resultsmentioning

confidence: 92%

Efficiency in education: a review of literature and a way forward

Witte

López-Torres

2017

Journal of the Operational Research Society

294

122

View full text Add to dashboard Cite

La sèrie Documents de treball d'economia de l'empresa presenta els avanços i resultats d'investigacions en curs que han estat presentades i discutides en aquest departament; això no obstant, les opinions són responsabilitat dels autors. El document no pot ser reproduït total ni parcialment sense el consentiment de l'autor/a o autors/res. Dirigir els comentaris i suggerències directament a l'autor/a o autors/res, a la direcció que apareix a la pàgina següent.A Working Paper in the Documents de treball d'economia de l'empresa series is intended as a mean whereby a faculty researcher's thoughts and findings may be communicated to interested readers for their comments. Nevertheless, the ideas put forwards are responsibility of the author. Accordingly a Working Paper should not be quoted nor the data referred to without the written consent of the author. Please, direct your comments and suggestions to the author, which address shows up in the next page. A p r i l 2 0 1 5 EFFICIENCY IN EDUCATION. A REVIEW OF LITERATURE AND A WAY FORWARD AbstractThis paper provides an extensive and comprehensive overview of the literature on efficiency in education. It summarizes the earlier applied inputs, outputs and contextual variables, as well as the used data sources of papers in the field of efficiency in education. Moreover, it reviews the papers on education that applied methodologies as Data Envelopment Analysis, Malmquist index, Bootstrapping, robust frontiers, metafrontier, or Stochastic Frontier Analysis. Based on the insights of the literature review, a second part of the paper provides some ways forward. It attempts to establish a link between the parametric 'economics of education' literature and the (semiparametric) 'efficiency in education literature'. We point to the similarities between matching and conditional efficiency; difference-in-differences and metafrontiers; and quantile regressions and partial frontiers. The paper concludes with some operative directions for prospective researchers in the field.

show abstract

Section: Mixed Resultsmentioning

confidence: 92%

Efficiency in education: a review of literature and a way forward

Witte

López-Torres

2017

Journal of the Operational Research Society

294

122

View full text Add to dashboard Cite

show abstract

“…See De Witte and Rogge () and De Witte and Hudrlikova () for an application of this method to higher education.…”

mentioning

confidence: 99%

Research, knowledge transfer, and innovation: The effect of Italian universities’ efficiency on local economic development 2006−2012

Agasisti

Barra

Zotti

2019

Journal of Regional Science

View full text Add to dashboard Cite

We test whether there is a link between the performance of universities, measured through a concept of efficiency, and the economic development of the regions in which they operate. Indicators of teaching, research, and third mission are considered as outputs. To handle endogeneity problems between the efficiency of universities and economic development, a system generalized method of moments and then an instrumental variable approach are used. Our findings reveal that the presence of efficient universities fosters local economic development. Knowledge spillovers occur to areas that are in close geographical proximity to efficient universities. Results are robust to different estimation strategies.

show abstract

“…For example, subjective weightings on academic reputation surveys have brought about a large amount of distrust over the years (Avery, Glickman, Hoxby, & Metrick, ), especially because the ranking relies too heavily on reputation indicators derived from expert opinions (Huang, ; Safon, ; Taylor & Braddock, ). According to De Witte and Hudrlikova (, p. 341) this indicator may be a mere “symptom” of excellence: It favors world‐renowned institutions and does not represent current research performance. They emphasize that the ranking rather reflects reputational factors and not necessarily the quality or performance of institutions, and although rankings should take into account the diversity among institutions, the current reputation surveys only reinforce the existing reputation and prestige of particular universities.…”

Section: Discussionmentioning

confidence: 99%

“…There is, however, inevitable subjectivity in setting weights. In a priori selected weights, the ranking favors universities for which the weights ‘fit best' ” (De Witte & Hudrlikova, , p. 342). By defining the CIDI methodology we have overcome the disadvantage of subjectively assigned weights to the set of input indicators.…”

Section: Discussionmentioning

confidence: 99%

A new approach to the QS university ranking using the composite I‐distance indicator: Uncertainty and sensitivity analyses

Dobrota

Bulajić

Bornmann

et al. 2015

Asso for Info Science & Tech

View full text Add to dashboard Cite

Some major concerns of universities are to provide quality in higher education and enhance global competitiveness, thus ensuring a high global rank and an excellent performance evaluation. This article examines the Quacquarelli Symonds (QS) World University Ranking methodology, pointing to a drawback of using subjective, possibly biased, weightings to build a composite indicator (QS scores). We propose an alternative approach to creating QS scores, which is referred to as the composite I-distance indicator (CIDI) methodology. The main contribution is the proposal of a composite indicator weights correction based on the CIDI methodology. It leads to the improved stability and reduced uncertainty of the QS ranking system. The CIDI methodology is also applicable to other university rankings by proposing a specific statistical approach to creating a composite indicator.

show abstract

What about excellence in teaching? A benevolent ranking of universities

Cited by 41 publications

References 34 publications

Efficiency in education: a review of literature and a way forward

Efficiency in education: a review of literature and a way forward

Research, knowledge transfer, and innovation: The effect of Italian universities’ efficiency on local economic development 2006−2012

A new approach to the QS university ranking using the composite I‐distance indicator: Uncertainty and sensitivity analyses

Contact Info

Product

Resources

About