首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Measuring the efficiency of teaching activities in Italian universities: An information theoretic approach
Institution:1. Department of Economics and Management, University of Tuscia, Via del Paradiso 47, 01100 Viterbo, Italy;2. Department for Innovation in Biological, Agro-food and Forest systems, University of Tuscia, Viterbo, Italy;3. Department of Statistics, Informatics, Applications “G. Parenti”, University of Florence, Italy;1. Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome “La Sapienza”, Via Ariosto, 25, 00185 Roma, Italy;2. Department of Energy and Systems Engineering, University of Pisa and Italian National Agency for the Evaluation of Universities and Research Institutes (ANVUR), Italy;3. ISBA, Université Catholique de Louvain, Louvain-la-Neuve, Belgium;1. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;3. Faculty of Commerce, Fukuoka University, Fukuoka 814-0180, Japan;1. School of Economics and Finance, Queensland University of Technology, 2 George St, Brisbane, Queensland 4000, Australia;2. Department of Accounting, Finance and Economics, Griffith University, 170 Kessels Rd, Nathan, Queensland 4111, Australia
Abstract:The measurement of teaching efficiency of Italian universities has become a topic of much interest and debate in recent years. The aim of this study is to fully explore the potential of panel data in the analysis of teaching efficiency both by modelling human capital formation in the university as a series of sub-processes and by using various models to account for observed and unobserved factors which generate heterogeneity. The new approach for estimating a stochastic frontier model based on the Generalized Maximum Entropy method provides further insights into the measurement of university teaching performance. The evolution of efficiency throughout the entire study period was also analyzed.
Keywords:University teaching efficiency  Heterogeneity  Stochastic frontier approach  Generalized Maximum Entropy method  Panel data
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号