Quality as a Latent Heterogeneity Factor in the Efficiency of Universities
Cinzia Daraio,
Leopold Simar and
Paul Wilson
No 2021011, LIDAM Reprints ISBA from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA)
Abstract:
In this paper we show the usefulness of recent advanced nonparametric efficiency techniques to model the performance of universities in the presence of observed and unobserved heterogeneity. Using directional distances for benchmarking purposes, we identify a latent heterogeneity factor related to the human capital of the universities and their management, that is independent from their size, and interpret the identified latent factor as a “quality” factor of the universities. After testing the significance of this latent factor, we investigate its impact on the boundary of the production set (efficient frontier) and on the distances of the units from the efficient frontier. The frontier and the efficiency distribution of our European Universities sample appear influenced by our estimated latent quality factor. We investigate these impacts from various points of view, including the trade-off between our quality factor and efficiency as well as the roles of size and specialization.
Keywords: nonparametric efficiency; performance assessment; benchmarking; directional distances; conditional efficiency; observed and unobserved heterogeneity; European universities; quality (search for similar items in EconPapers)
Date: 2021-01-01
Note: In: Economic Modelling, Vol. 99, no. June 2021, p. 105485 (2021)
References: Add references at CitEc
Citations: View citations in EconPapers (12)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Journal Article: Quality as a latent heterogeneity factor in the efficiency of universities (2021) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aiz:louvar:2021011
DOI: 10.1016/j.econmod.2021.03.004
Access Statistics for this paper
More papers in LIDAM Reprints ISBA from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA) Voie du Roman Pays 20, 1348 Louvain-la-Neuve (Belgium). Contact information at EDIRC.
Bibliographic data for series maintained by Nadja Peiffer ().