Education production efficiency: Evidence from Brazilian universities

Abstract

This paper investigates how efficient are the Higher Education Institutions (HEI) in Brazil, and which institutionpublic or privateis more efficient in the production of knowledge. In addition, it was also verified the determinants of performance of Brazilian students in Higher Education. We estimated a Stochastic Production Function of Education for the Brazilian HEI based on information from the Higher Education Census of 2006 and the National Examination of Performance Evaluation of Student (Enade) of 2007. By using the difference between the scores of first-year and last-year college students of National Examination of Performance Evaluation of Student (Enade) aggregated by HEI as a product in the Stochastic Production Function, it was possible to contribute with a new element to the literature devoted to the estimation of the Production Function of Education. The results show that the characteristics of institutions are the variables that best explain their performance. Additionally, public institutions are more inefficient than private ones.

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

“…If lower, then lower students' results Socio-economic status (family income, employment) Mayston and Jesson (1988), Ray (1991), McCarty and Yaisawarng (1993), Chalos and Cherian (1995), Engert (1996), Chalos (1997), Duncombe et al (1997), Bretschneider (1998), Geshberg andSchuermann (2001), Muñiz (2002), Kiong et al (2005), Ouellette and Vierstraete (2005), Primont and Domazlicky (2006), Giménez et al (2007), Rassouli-Currier (2007), (2010), Millimet and Collier (2008), Alexander et al (2010), Carpenter and Noller (2010), Cherchye et al (2010), Houck et al (2010), Gronberg et al (2012), Thieme et al (2012), Deutsch et al (2013), Zoghbi et al (2013), Blackburn et al (2014), , Grosskopf et al (2014), Johnson and Ruggiero (2014).…”

“…Teacher methods/ organization and management/ quality/innovation Bessent and Bessent (1980), , Kirjavainen and Loikkanen (1998), Mizala et al (2002), Dolton et al (2003), Oliveira and Santos (2005), Afonso and Aubyn (2006), Agasisti and Salerno, (2007), Giménez et al (2007), Carpenter and Noller (2010), Cherchye et al (2010), Dehnokhalaji et al (2010), Sarrico et al (2010), , Montoneri et al (2012), Bayraktar et al (2013), De Witte and Kortelainen (2013), Deutsch et al (2013), , Zoghbi et al (2013), Nazarko and Saparauskas (2014). Teacher salary Butler and Monk (1985), Sengupta and Sfeir (1986) (1988, , Duncombe et al (1997), Grosskopf et al (1997Grosskopf et al ( ) (1999, Ruggiero and Vitaliano (1999), Giménez and Martínez (2006), Koksal and Nalcaci (2006), Hu et al (2009, Gronberg et al (2012), , Johnson and Ruggiero (2014).…”

“…Dropout rate Conroy and Arguea (2008), Mancebón et al (2012). Educational resources (books, building, computers, class, bus, grants) Ruggiero et al (1995), Jimenez and Paqueo (1996), , Athanassopoulos and Shale (1997), Cooper and Cohn (1997), Heshmati and Kumbhakar (1997), Ruggiero and Bretschneider (1998), , Thursby (2000), Moreno and Tadepali (2002) (2012), Mancebón et al (2012), Misra et al (2012), Thieme et al (2012) (2013), Haelermans and Ruggiero (2013), Zoghbi et al (2013), Crespo-Cebada et al (2014). Enrollment , Ruggiero and Vitaliano (1999), (2010), Rayeni and Saljooghi (2010), Gronberg et al (2012), Johnes et al (2012), Misra et al (2012), Aristovnik and Obadic (2014), .…”

Normal Exponential Exogenous Model and its Application

“…Yanyan Liu [9] in his contribution proposed an R 2 -type measure to summarize the overall explanatory power of the exogenous factors on inefficiency. Zoghbi et al [10] conducted a study on students exogenous character effect on the inefficiency of faculty members. Lei Wang et al [4] [8] proposed one step model based on the scaling property in which u equals a function of z times one sided error * u .…”

Normal Half Normal Model for the Incorporation of exogenous factors on Efficiency analysis and its application

“…[10] pointed out that variables are considered exogenous in the sense that they influence the production process but are not themselves either inputs or outputs. [4] did a comparative study on exogenous and endogenous timing in social learning experiment.…”