University Efficiency: A Comparison and Consolidation of Results from Stochastic and Non‐stochastic Methods
By M. Mcmillan, W. Chan. 2006
154 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/4ad9fdd7e80c27d52a777317009f9e831e6064b3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- D. Rao
- C. O'Donnell
- G. Battese
- Carmen Pérez-Esparrells
- Tommaso Agasisti
- Renato A. Villano
- H. M. Boshrabadi
- B. Bravo-Ureta
In Management Science and Operations Research
- D. Rao
- C. O'Donnell
- G. Battese
- Carmen Pérez-Esparrells
- Tommaso Agasisti
- Renato A. Villano
- H. M. Boshrabadi
- B. Bravo-Ureta
Citations in the corpus
- Metafrontier frameworks for the study of firm-level efficiencies and technology ratios (2008, background): “For example, separate frontiers have been estimated for universities in Canada (McMillan and Chan 2004), Australia (Worthington and Lee 2005) and the United Kingdom (Glass et al. 1995), and for bank branches in South Africa (O’Donnell and van der Westhuizen 2002) and Spain (Lovell and Pastor 1997).”
- Efficiency in education: a review of literature and a way forward (2017, unknown): “Community variables Competition (Herfindahl index/number of faculties within X km) McMillan and Datta (1998), McMillan and Chan (2006), Naper (2010), Agasisti (2011a), Haelermans and Blank (2012), Haelermans et al (2012), Misra et al (2012).”
- Comparing efficiency in a cross-country perspective: the case of Italian and Spanish state universities (2010, methodology): “Furthermore, they adopted a different methodology, the random parameter model, which is a parametric technique; the difficulty in comparing results derived from different sources is well-known (e.g., McMillan and Chan 2006 ), and future research will address this point specifically.”