EconPapers    
Economics at your fingertips  
 

Stochastic vs. deterministic frontier distance output function: Evidence from Brazilian higher education institutions

Ariel Gustavo Letti (), Mauricio Bittencourt () and Luis E. Vila
Additional contact information
Ariel Gustavo Letti: Universidade do Estado da Bahia (UNEB)
Luis E. Vila: Universitat de València (UV)

Journal of Productivity Analysis, 2022, vol. 58, issue 1, No 4, 55-74

Abstract: Abstract Using data from the Brazilian Higher Education Census and other public institutions, this study aims to obtain and compare efficiency scores from stochastic frontier analysis (SFA) and data envelopment analysis (DEA) models for 56 Brazilian federal universities for the period of 2010 to 2016. The output distance function includes financial and human resources as inputs, and teaching, research, patents and third mission activities as outputs. The research is innovative considering: (i) the estimation of SFA for Brazilian universities as whole institutions, (ii) its comparison with DEA; and (iii) the inclusion of patents and third mission variables. The findings suggest there is inefficiency in Brazilian higher education production, with a very small increase through time and with some influence from universities and environmental characteristics. Thus, consolidated traditional institutions with university hospitals tend to be more efficient than the younger ones. The values and the rank of the efficiencies are sensitive to the model/method employed, presenting highly significant although modest correlations. In general, the inclusion of third mission activities improves the efficiencies for both approaches, mainly for DEA. Hence, as advised in other international comparative analyses, caution is required when deriving management and policy recommendations from the analytical results.

Keywords: Higher Education; Efficiency; SFA; DEA; Brazil; I23; D24; H52; C33; C61 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://link.springer.com/10.1007/s11123-022-00636-1 Abstract (text/html)
Access to full text is restricted to subscribers.

Related works:
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:kap:jproda:v:58:y:2022:i:1:d:10.1007_s11123-022-00636-1

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2

DOI: 10.1007/s11123-022-00636-1

Access Statistics for this article

Journal of Productivity Analysis is currently edited by William Greene, Chris O'Donnell and Victor Podinovski

More articles in Journal of Productivity Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2022-12-26
Handle: RePEc:kap:jproda:v:58:y:2022:i:1:d:10.1007_s11123-022-00636-1