Template-type: ReDIF-Paper 1.0
Author-Name: Alfredo Moreno Sáez
Author-Workplace-Name: Facultad de Ciencias Económicas y Empresariales. Universidad Complutense de Madrid.
Author-Name: José Luis Montes Botella
Author-Workplace-Name: Universidad Rey Juan Carlos
Author-Name: David Trillo del Pozo
Author-Workplace-Name: Universidad Rey Juan Carlos
Title: Measuring the technical efficiency trough maximum likelihood models: A comparison between alterna-tive specifications 
	applied to a university 
Abstract: This paper presents an application of efficiency measurement 	stochastic techniques to a University Department scientific 
	production. In the first part, we follow Lovell´s (1982) model to carry out a static analysis with the variable averages 
	in the selected period. The model sensibility to the chosen adjusted production function is analysed considering the CES, 
	Cobb-Douglas and Translog functions. Afterwards, the efficiency estimation for each one of the Departments in consideration 
	is carried out by means of the efficiency term conditional expectancy on the global error. The second part studies the 
	dynamic estimate, following Batesse and Coelli (1992, 1995), through different functional forms. In this case, different 
	assumptions of efficiency evolution, for fixed and variable effects, are considered and estimated again for each production 
	unit (Department) and period. To be able to consider non-lineal models and split residuals, maximum likelihood estimate is 	applied. Lastly, the efficiency indexes homogeneity is studied 	
	in both dynamic and static models.
Keywords:
 Stochastic frontier; Maximum likelihood; Efficiency; Panel data; Higher education.
Length: 22 pages 
Creation-Date: 2000
Number:
 00-28 
X-File-Ref: http://america.sim.ucm.es/repec/ucm/ref/doctra00-28.txt
File-URL: https://eprints.ucm.es/id/eprint/6709/1/0028.pdf
File-Format: Application/pdf 
Handle: RePEc:ucm:doctra:00-28